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Open Access 2019 | OriginalPaper | Buchkapitel

8. Energy Scenario Results

verfasst von : Sven Teske, Thomas Pregger, Tobias Naegler, Sonja Simon, Johannes Pagenkopf, Bent van den Adel, Özcan Deniz

Erschienen in: Achieving the Paris Climate Agreement Goals

Verlag: Springer International Publishing

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Abstract

Results for the 5.0 °C, 2.0 °C and 1.5 °C scenarios for ten world regions in regard to energy-related carbon-dioxide emissions, final-, primary-, transport- and heating demand and the deployment of various supply technologies to meet the demand. Furthermore, the electricity demand and generation scenarios are provided. The key results of a power sector analysis which simulates further electricity supply with high shares of solar- and wind power in one hour steps is provided. The ten world regions are divided into eight sub-regions and the expected development of loads, capacity-factors for various power plant types and storage demands are provided. This chapter contains more than 100 figures and tables.
This chapter provides a condensed description of the energy scenario results on a global scale, for each of the ten world regions. The descriptions include a presentation of the calculated energy demands for all sectors (power and heat/fuels for the following sectors: industry, residential and other, and transport) and of supply strategies for all the technologies considered, from 2015 to 2050. The results of the model-based analyses of hourly supply curves and required storage capacities are also discussed based on key indicators. Graphs, tables, and descriptions are provided in a standardized way to facilitate comparisons between scenarios and between regions.
The following global summary of the regional results is presented in the same structure as that used for individual regions. Consistent with the regional results, these tables do not include the demand and supply details for the bunker fuels used in international aviation and navigation. Section 8.2 outlines a global demand and supply scenario for renewable bunker fuels in the long term, including estimates of additional CO2 emissions from fossil bunker fuels between 2015 and 2050.

8.1 Global: Long-Term Energy Pathways

8.1.1 Global: Projection of Overall Energy Intensity

Combining the assumptions for the power, heat, and fuel demands for all sectors produced the overall final energy intensity (per $ GDP) development shown in Fig. 8.1. Compared with the 5.0 °C case based on the Current Policies Scenario of the IEA, the alternative scenarios follow more stringent efficiency levels. The 1.5 °C Scenario represents an even faster implementation of efficiency measures than the 2.0 °C Scenario. The 1.5 °C Scenario involves the decelerated growth of energy services in all regions, to avoid any further strong increase in fossil fuel use after 2020. The global average intensity drops from 2.4 MJ/$GDP in 2015 to 1.25 MJ/$GDP in 2050 in the 5.0 °C case compared with 0.65 MJ/$GDP in the 2.0 °C Scenario and 0.59 MJ/$GDP in the 1.5 °C Scenario. The average final energy consumption decreases from 46.3 GJ/capita in 2015 to 28.4 GJ/capita in 2050 in the 2.0 °C Scenario and to below 26 GJ/capita in the 1.5 °C Scenario. In the 5.0 °C case, it increases to 55 GJ/capita.

8.1.2 Global: Final Energy Demand by Sector (Excluding Bunkers)

Combining the assumptions for population growth, GDP growth, and energy intensity produced the future development pathways for the global final energy demand shown in Fig. 8.2 for the 5.0 °C, 2.0 °C, and 1.5 °C Scenarios. In the 5.0 °C Scenario, the total final energy demand will increase by 57% from 342 EJ/year in 2015 to 537 EJ/year in 2050. In the 2.0 °C Scenario, the final energy demand will decrease by 19% compared with the current consumption and reach 278 EJ/year by 2050, whereas the final energy demand in the 1.5 °C Scenario will reach 253 EJ, 26% below the 2015 demand. In the 1.5 °C Scenario, the final energy demand in 2050 is 9% lower than in the 2.0 °C Scenario. The electricity demand for ‘classical’ electrical devices (without power-to-heat or e-mobility) will increase from around 15,900 TWh/year in 2015 to 23,800 TWh/year (2.0 °C) or to 23,300 TWh/year (1.5 °C) by 2050. Compared with the 5.0 °C case (37,000 TWh/year in 2050), the efficiency measures in the 2.0 °C and 1.5 °C Scenarios will save 13,200 TWh/year and 13,700 TWh/year, respectively, by 2050.
Electrification will lead to a significant increase in the electricity demand by 2050. In the 2.0 °C Scenario, the electricity demand for heating will be about 12,600 TWh/year due to electric heaters and heat pumps, and in the transport sector there will be an increase of about 23,400 TWh/year due to increased electric mobility. The generation of hydrogen (for transport and high-temperature process heat) and the manufacture of synthetic fuels (mainly for transport) will add an additional power demand of 18,800 TWh/year The gross power demand will thus rise from 24,300 TWh/year in 2015 to 65,900 TWh/year in 2050 in the 2.0 °C Scenario, 34% higher than in the 5.0 °C case. In the 1.5 °C Scenario, the gross electricity demand will increase to a maximum of 65,300 TWh/year in 2050.
The efficiency gains in the heating sector could be even larger than in the electricity sector. In the 2.0 °C and 1.5 °C Scenarios, a final energy consumption equivalent to about 85.7 EJ/year and 95.4 EJ/year, respectively, is avoided through efficiency gains by 2050 compared with the 5.0 °C Scenario (Figs. 8.3, 8.4, 8.5, and 8.6).

8.1.3 Global: Electricity Generation

The development of the power system is characterized by a dynamically growing renewable energy market and an increasing proportion of total power coming from renewable sources. In the 2.0 °C Scenario, 100% of the electricity produced globally will come from renewable energy sources by 2050. ‘New’ renewables—mainly wind, solar, and geothermal energy—will contribute 83% of the total electricity generation. Renewable electricity’s share of the total production will be 62% by 2030 and 88% by 2040. The installed capacity of renewables will reach about 9500 GW by 2030 and 25,600 GW by 2050. The share of renewable electricity generation in 2030 in the 1.5 °C Scenario is assumed to be 73%. The 1.5 °C Scenario indicates a generation capacity from renewable energy of about 25,700 GW in 2050.
Table 8.1 shows the development of different renewable technologies in the world over time. Figure 8.7 provides an overview of the global power-generation structure. From 2020 onwards, the continuing growth of wind and photovoltaic (PV), up to 7850 GW and 12,300 GW, respectively, will be complemented by up to 2060 GW of solar thermal generation, and limited biomass, geothermal, and ocean energy in the 2.0 °C Scenario. Both the 2.0 °C Scenario and 1.5 °C Scenario will lead to a high proportion of variable power generation (PV, wind, and ocean) of 38% and 46%, respectively, by 2030 and 64% and 65%, respectively, by 2050.
Table 8.1
Global: development of renewable electricity-generation capacity in the scenarios
in GW
(°C)
2015
2025
2030
2040
2050
Hydro
5.0
1202
1420
1558
1757
1951
2.0
1202
1386
1416
1473
1525
1.5
1202
1385
1415
1471
1523
Biomass
5.0
112
165
195
235
290
2.0
112
301
436
617
770
1.5
112
350
498
656
798
Wind
5.0
413
880
1069
1395
1790
2.0
413
1582
2901
5809
7851
1.5
413
1912
3673
6645
7753
Geothermal
5.0
14
20
26
41
62
2.0
14
49
125
348
557
1.5
14
53
147
356
525
PV
5.0
225
785
1031
1422
2017
2.0
225
2194
4158
8343
12,306
1.5
225
2829
5133
10,017
12,684
CSP
5.0
4
13
20
39
64
2.0
4
69
361
1346
2062
1.5
4
92
474
1540
1990
Ocean
5.0
0
1
3
9
22
2.0
0
22
82
307
512
1.5
0
22
80
295
450
Total
5.0
1971
3285
3902
4899
6195
2.0
1971
5604
9478
18,243
25,584
1.5
1971
6644
11,420
20,980
25,723

8.1.4 Global: Future Costs of Electricity Generation

Figure 8.8 shows the development of the electricity-generation and supply costs over time, including the CO2 emission costs, in all scenarios. The calculated average electricity generation costs in 2015 (referring to full costs) were around 6 ct/kWh. In the 5.0 °C case, the generation costs will increase until 2050, when they reach 10.6 ct/kWh. The generation costs will also increase in the 2.0 °C and 1.5 °C Scenarios until 2030, when they will reach 9 ct/kWh, and then drop to 7 ct/kWh by 2050. In both alternative scenarios, the generation costs will be around 3.5 ct/kWh lower than in the 5.0 °C Scenario by 2050. Note that these estimates of generation costs do not take into account integration costs such as power grid expansion, storage, or other load-balancing measures.
In the 5.0 °C case, the growth in demand and increasing fossil fuel prices will cause the total electricity supply costs to increase from today’s $1560 billion/year to around $5500 billion/year in 2050. In both alternative scenarios, the total supply costs will be $5050 billion/year in 2050. Therefore, the long-term costs for electricity supply in both alternative scenarios are about 8% lower than in the 5.0 °C Scenario as a result of the estimated generation costs and the electrification of heating and mobility.
Compared with these results, the generation costs (without including CO2 emission costs) will increase in the 5.0 °C case to only 7.9 ct/kWh. The generation costs will increase in the 2.0 °C Scenario until 2030 to 7.7 ct/kWh and to a maximum of 8.1 ct/kWh in the 1.5 °C Scenario. Between 2030 and 2050, the costs will decrease to 7 ct/kWh. In the 2.0 °C Scenario, the generation costs will be, at maximum, 0.1 ct/kWh higher than in the 5.0 °C Scenario and this will occur in 2040. In the 1.5 °C Scenario, the generation costs will be, at maximum, 0.5 ct/kWh higher than in the 5.0 °C Scenario, again by around 2040. In 2050, the generation costs in the alternative scenarios will be 0.8–0.9 ct/kWh lower than in the 5.0 °C case. If the CO2 costs are not considered, the total electricity supply costs in the 5.0 °C case will rise to about $4150 billion/year in 2050.

8.1.5 Global: Future Investments in the Power Sector

In the 2.0 °C Scenario, around $49,000 billion in investment will be required for power generation between 2015 and 2050—including for additional power plants to produce hydrogen and synthetic fuels and for the plant replacement costs at the end of their economic lifetimes. This value will be equivalent to approximately $1360 billion per year on average, and is $28,600 billion more than in the 5.0 °C case ($20,400 billion). An investment of around $51,000 billion for power generation will be required between 2015 and 2050 in the 1.5 °C Scenario. On average, this will be an investment of $1420 billion per year. In the 5.0 °C Scenario, the investment in conventional power plants will comprises around 40% of total cumulative investments, whereas approximately 60% will be invested in renewable power generation and co-generation (Fig. 8.9).
However, in the 2.0 °C (1.5 °C) Scenario, the world will shift almost 94% (95%) of its total energy investment to renewables and co-generation. By 2030, the fossil fuel share of the power sector investment will predominantly focus on gas power plants that can also be operated with hydrogen.
Because renewable energy has no fuel costs, other than biomass, the cumulative fuel cost savings in the 2.0 °C Scenario will reach a total of $26,300 billion in 2050, equivalent to $730 billion per year. Therefore, the total fuel cost savings in the 2.0 °C Scenario will be equivalent to 90% of the additional energy investments compared to the 5.0 °C Scenario. The fuel cost savings in the 1.5 °C Scenario will add up to $28,800 billion, or $800 billion per year.

8.1.6 Global: Energy Supply for Heating

The final energy demand for heating will increase in the 5.0 °C Scenario by 59%, from 151 EJ/year in 2015 to around 240 EJ/year in 2050. In the 2.0 °C Scenario, energy efficiency measures will help to reduce the energy demand for heating by 36% in 2050, relative to that in the 5.0 °C Scenario, and by 40% in the 1.5 °C Scenario. Today, renewables supply around 20% of the global final energy demand for heating. The main contribution is from biomass. Renewable energy will provide 42% of the world’s total heat demand in 2030 in the 2.0 °C Scenario and 56% in the 1.5 °C Scenario. In both scenarios, renewables will provide 100% of the total heat demand in 2050.
Figure 8.10 shows the development of different technologies for heating worldwide over time, and Table 8.2 provides the resulting renewable heat supply for all scenarios. Until 2030, biomass will remain the main contributor. In the long-term, the growing use of solar, geothermal, and environmental heat will lead to a biomass share in total heating of 33% in the 2.0 °C Scenario and 30% in the 1.5 °C Scenario.
Table 8.2
Global: development of renewable heat supply in the scenarios (excluding the direct use of electricity)
in PJ/year
(°C)
2015
2025
2030
2040
2050
Biomass
5.0
25,470
27,643
28,878
31,568
34,564
2.0
25,470
32,078
35,134
38,187
37,536
1.5
25,470
33,493
36,927
36,385
30,151
Solar heating
5.0
1246
2091
2754
4353
6220
2.0
1246
6485
12,720
23,329
27,312
1.5
1246
7656
14,153
21,665
24,725
Geothermal heat and heat pumps
5.0
563
804
925
1293
1823
2.0
563
4212
8956
21,115
33,123
1.5
563
4615
10,288
20,031
29,123
Hydrogen
5.0
0
0
0
0
0
2.0
0
193
508
5670
15,877
1.5
0
180
1769
10,461
17,173
Total
5.0
27,278
30,538
32,557
37,214
42,608
2.0
27,278
42,967
57,318
88,301
113,848
1.5
27,278
45,944
63,137
88,542
101,172
Heat from renewable hydrogen will further reduce the dependence on fossil fuels in both scenarios. Hydrogen consumption in 2050 will be around 15,900 PJ/year in the 2.0 °C Scenario and 17,200 PJ/year in the 1.5 °C Scenario. The direct use of electricity for heating will also increase by a factor of 4.2–4.5 between 2015 and 2050 and will have a final share of 26% in 2050 in the 2.0 °C Scenario and 30% in the 1.5 °C Scenario (Table 8.2).

8.1.7 Global: Future Investments in the Heating Sector

The roughly estimated investments in renewable heating technologies up to 2050 will amount to around $13,230 billion in the 2.0 °C Scenario (including investments for plant replacement after their economic lifetimes)—approximately $368 billion per year. The largest share of this investment is assumed to be for heat pumps (around $5700 billion), followed by solar collectors and geothermal heat use. The 1.5 °C Scenario assumes an even faster expansion of renewable technologies. However, the lower heat demand (compared with the 2.0 °C Scenario) will result in a lower average annual investment of around $344 billion per year (Table 8.3, Fig. 8.11).
Table 8.3
Global: installed capacities for renewable heat generation in the scenarios
in GW
(°C)
2015
2025
2030
2040
2050
Biomass
5.0
10,215
10,180
9938
9423
8997
2.0
10,215
10,202
9456
7875
5949
1.5
10,215
10,418
9568
7073
4141
Geothermal
5.0
5
7
7
8
4
2.0
5
85
181
492
656
1.5
5
101
200
433
551
Solar heating
5.0
378
615
781
1175
1652
2.0
378
1685
3198
5722
6575
1.5
378
1993
3555
5286
5964
Heat pumps
5.0
89
126
144
199
270
2.0
89
497
906
1821
2857
1.5
89
514
967
1726
2430
Totala
5.0
10,688
10,928
10,871
10,805
10,923
2.0
10,688
12,469
13,741
15,910
16,036
1.5
10,688
13,026
14,290
14,517
13,086
a Excluding direct electric heating

8.1.8 Global: Transport

The energy demand in the transport sector will increase in the 5.0 °C Scenario by 50% by 2050, from around 97,200 PJ/year in 2015 to 145,700 PJ/year in 2050. In the 2.0 °C Scenario, assumed technical, structural, and behavioural changes will reduce the energy demand by 66% (96,000 PJ/year) by 2050 compared with the 5.0 °C Scenario. Additional modal shifts, technology switches, and a reduction in the transport demand will lead to even higher energy savings in the 1.5 °C Scenario of 74% (or 108,000 PJ/year) in 2050 compared with the 5.0 °C case (Table 8.4, Fig. 8.12).
Table 8.4
Global: projection of transport energy demand by mode in the scenarios
in PJ/year
(°C)
2015
2025
2030
2040
2050
Rail
5.0
2705
2708
2814
3024
3199
2.0
2705
2875
3149
3520
3960
1.5
2705
2932
3119
3559
4087
Road
5.0
85,169
94,755
102,556
116,449
127,758
2.0
85,169
79,975
68,660
48,650
40,089
1.5
85,169
67,579
48,949
34,055
28,859
Domestic aviation
5.0
4719
6544
7745
9080
9176
2.0
4719
4732
4239
3291
2640
1.5
4719
4461
3612
2361
1845
Domestic navigation
5.0
2130
2304
2392
2537
2663
2.0
2130
2303
2388
2512
2601
1.5
2130
2301
2383
2506
2601
Total
5.0
94,723
106,310
115,506
131,091
142,796
2.0
94,723
89,886
78,436
57,973
49,290
1.5
94,723
77,274
58,063
42,482
37,392
By 2030, electricity will provide 12% (2700 TWh/year) of the transport sector’s total energy demand in the 2.0 °C Scenario, whereas in 2050, the share will be 47% (6500 TWh/year). In 2050, around 8430 PJ/year of hydrogen will be used in the transport sector, as a complementary renewable option. In the 1.5 °C Scenario, the annual electricity demand will be about 5200 TWh in 2050. The 1.5 °C Scenario also assumes a hydrogen demand of 6850 PJ/year by 2050.
Biofuel use is limited in the 2.0 °C Scenario to a maximum of around 12,000 PJ/year Therefore, by around 2030, synthetic fuels based on power-to-liquid will be introduced, with a maximum amount of 5820 PJ/year in 2050. Because of the lower overall energy demand by transport, biofuel use will be reduced in the 1.5 °C Scenario to a maximum of 10,000 PJ/year The maximum synthetic fuel demand will amount to 6300 PJ/year.

8.1.9 Global: Development of CO2 Emissions

In the 5.0 °C Scenario, the annual global energy-related CO2 emissions will increase by 40%, from 31,180 Mt. in 2015 to more than 43,500 Mt. in 2050. The stringent mitigation measures in both alternative scenarios will cause annual emissions to fall to 7070 Mt. in 2040 in the 2.0 °C Scenario and to 2650 Mt. in the 1.5 °C Scenario, with further reductions to almost zero by 2050. In the 5.0 °C Scenario, the cumulative CO2 emissions from 2015 until 2050 will add up to 1388 Gt. In contrast, in the 2.0 °C and 1.5 °C Scenarios, the cumulative emissions for the period 2015–2050 will be 587 Gt and 450 Gt, respectively.
Thus, the cumulative CO2 emissions will decrease by 58% in the 2.0 °C Scenario and by 68% in the 1.5 °C Scenario compared with the 5.0 °C case. A rapid reduction in annual emissions will occur in both alternative scenarios. In the 2.0 °C Scenario, the reduction will be greatest in ‘Power generation’, followed by the ‘Residential and other’ and ‘Transport’ sectors (Fig. 8.13).

8.1.10 Global: Primary Energy Consumption

The levels of primary energy consumption based on the assumptions discussed above in the three scenarios are shown in Fig. 8.14. In the 2.0 °C Scenario, the primary energy demand will decrease by 21%, from around 556 EJ/year in 2015 to 439 EJ/year in 2050. Compared with the 5.0 °C Scenario, the overall primary energy demand will decrease by 48% by 2050 in the 2.0 °C Scenario (5.0 °C: 837 EJ in 2050). In the 1.5 °C Scenario, the primary energy demand will be even lower (412 EJ in 2050) due to the lower final energy demand and lower conversion losses.
Both the 2.0 °C and 1.5 °C Scenarios aim to rapidly phase-out coal and oil. This will cause renewable energy to have a primary energy share of 35% in 2030 and 92% in 2050 in the 2.0 °C Scenario. In the 1.5 °C Scenario, renewables will have a primary energy share of more than 92% in 2050 (this will includes non-energy consumption, which will still include fossil fuels). Nuclear energy will be phased-out in both the 2.0 °C and 1.5 °C Scenarios. The cumulative primary energy consumption of natural gas in the 5.0 °C Scenario will be 5580 EJ, the cumulative coal consumption will be about 6360 EJ, and the crude oil consumption will be 6380 EJ. In the 2.0 °C Scenario, the cumulative gas demand will amount to 3140 EJ, the cumulative coal demand to 2340 EJ, and the cumulative oil demand to 2960 EJ. Even lower fossil fuel use will be achieved in the 1.5 °C Scenario: 2710 EJ for natural gas, 1570 EJ for coal, and 2230 EJ for oil.

8.2 Global: Bunker Fuels

Bunker fuels for international aviation and navigation are separate categories in the energy statistics. Their use and related emissions are not usually directly allocated to the regional energy balances. However, they contribute significantly to global greenhouse gas (GHG) emissions and pose great challenges regarding their substitution with low-carbon alternatives. In 2015, the annual bunker fuels consumption was in the order of 16,000 PJ, of which 7400 PJ was for aviation and 8600 PJ for navigation. Between 2009 and 2015, bunker fuel consumption increased by 13%. The annual CO2 emissions from bunker fuels accounted for 1.3 Gt in 2015, approximately 4% of global energy-related CO2 emissions. In the 5.0 °C Scenario, the development of the final energy demand for bunker fuels is assumed to be that of the IEA World Energy Outlook 2017 Current Policies scenario. This will lead to a further increase of 120% in the demand for bunker fuels until 2050 compared with that in the base year, 2015. Because no substitution with ‘green’ fuels is assumed, CO2 emissions will rise by the same order of magnitude.
Although the use of hydrogen and electricity in aviation is technically feasible (at least for regional transport) and synthetic gas use in navigation is an additional option under discussion, this analysis uses a conservative approach and assumes that bunker fuels are only replaced by biofuels or synthetic liquid fuels. Figure 8.15 shows the 5.0 °C and two alternative bunker scenarios, which are defined in consistency to the scenarios for each world region. For the 2.0 °C and 1.5 °C Scenarios, we assume the limited use of sustainable biomass potentials and the complementary central production of power-to-liquid synfuels. In the 2.0 °C Scenario, this production is assumed to take place in three world regions: Africa, the Middle East, and OECD Pacific (especially Australia), where synfuel generation for export is expected to be the most economic. The 1.5 °C Scenario requires even faster decarbonisation, and therefore follows a more ambitious low-energy pathway. This will lead to a faster build-up of the power-to-liquid infrastructure in all regions, which in the long term, will also be used for limited ‘regional’ bunker fuel production to maintain the utilization of the existing infrastructure. Therefore, the production of bunker fuels is assumed to occur in more regions, with lower exports from the supply regions mentioned above, in the 2.0 °C Scenario. Another assumption is that, consistent with the regional 1.5 °C Scenarios, the biomass consumption for energy supply will decrease in the long term, whereas power-to-liquid will continue to increase as the main option for international aviation and navigation. Finally, the expansion of the power-to-liquid infrastructure for the generation of bunker fuel will be closely associated with the assumed development of regional synthetic fuel demand and generation for transportation in each world region. Figure 8.15 also shows the resulting cumulative CO2 emissions from bunker fuel consumption between 2015 and 2050, which amount to around 70 Gt in the 5.0 °C case, 30 Gt in the 2.0 °C Scenario, and 21 Gt in the 1.5 °C Scenario. Table 8.5 provides more-detailed data for the three bunker fuel scenarios.
Table 8.5
Global: projection of bunker fuel demands for aviation and navigation by fuel in the scenarios
World bunkers 5.0 °C scenario
Unit
2015
2020
2025
2030
2035
2040
2045
2050
Total final energy consumption
PJ/year
15,985
17,976
20,090
22,593
25,443
28,293
31,462
34,987
thereof aviation
PJ/year
7408
8385
9431
10,674
12,097
13,537
15,148
16,950
thereof navigation
PJ/year
8576
9591
10,658
11,919
13,346
14,756
16,314
18,037
fossil fuels
PJ/year
15,985
17,976
20,090
22,593
25,443
28,293
31,462
34,987
biofuels
PJ/year
0
0
0
0
0
0
0
0
synthetic liquid fuels
PJ/year
0
0
0
0
0
0
0
0
Primary energy demand
crude oil
PJ/year
17,663
19,754
21,956
24,558
27,506
30,423
33,650
37,220
CO2 emissions
Mt/year
1296
1450
1611
1802
2018
2232
2468
2730
World bunkers 2.0 °C Scenario
unit
2015
2020
2025
2030
2035
2040
2045
2050
Total final energy consumption
PJ/year
15,985
17,538
16,836
15,274
15,053
14,826
14,483
14,014
thereof aviation
PJ/year
7408
8594
8418
7713
7602
7487
7314
7077
thereof navigation
PJ/year
8576
8944
8418
7561
7451
7339
7169
6937
fossil fuels
PJ/year
15,985
17,270
16,180
13,748
10,537
5189
3621
0
biofuels
PJ/year
0
268
657
1526
3146
5417
6381
7430
synthetic liquid fuels
PJ/year
0
0
0
0
1370
4220
4481
6584
Assumed regional structure of synthetic bunker production
Africa
PJ/year
0
0
0
0
846
2607
2768
4067
Middle East
PJ/year
0
0
0
0
183
564
598
879
OECD Pacific
PJ/year
0
0
0
0
341
1050
1115
1638
Primary energy demand
crude oil
PJ/year
17,663
18,978
17,683
14,943
11,391
5580
3872
0
biomass
PJ/year
0
400
952
2150
4369
7420
8623
9907
RES electricity demand for PtL
TWh/year
0
0
0
0
961
2880
3058
4375
CO2 emissions
Mt/year
1296
1391
1296
1095
835
409
284
0
World bunkers 1.5 °C Scenario
unit
2015
2020
2025
2030
2035
2040
2045
2050
Total final energy consumption
PJ/year
15,985
17,538
15,995
13,747
12,795
12,602
12,311
11,912
thereof aviation
PJ/year
7408
8594
7997
6942
6462
6364
6217
6016
thereof navigation
PJ/year
8576
8944
7997
6805
6334
6238
6094
5896
fossil fuels
PJ/year
15,985
17,538
15,179
7836
2559
0
0
0
biofuels
PJ/year
0
0
816
4536
6398
6931
5540
4527
synthetic liquid fuels
PJ/year
0
0
0
1375
3839
5671
6771
7385
Assumed regional structure of synthetic bunker production
Africa
PJ/year
0
0
0
717
2002
2863
3093
2882
Middle East
PJ/year
0
0
0
155
433
619
669
873
OECD Pacific
PJ/year
0
0
0
289
836
1265
1622
1697
OECD North America
PJ/year
0
0
0
213
568
798
924
977
OECD Europe
PJ/year
0
0
0
0
0
126
262
557
Eurasia
PJ/year
0
0
0
0
0
0
200
400
Primary energy demand
crude oil
PJ/year
17,663
19,273
16,589
8517
2766
0
0
0
biomass
PJ/year
0
0
1182
6389
8885
9495
7486
6035
RES electricity demand for PtL
TWh/year
0
0
0
964
2693
3870
4621
4896
CO2 emissions
Mt/year
1296
1413
1216
624
203
0
0
0
The production of synthetic fuels will cause significant additional electricity demand and a corresponding expansion of the renewable power generation capacities. In the case of liquid bunker fuels, these additional renewable power generation capacities will amount to 1100 GW in the 2.0 °C Scenario and more than 1200 GW in the 1.5 °C Scenario if a flexible utilization rate of 4000 full-load hours per year can be achieved. However, such a situation will require high amounts of electrolyser capacity and hydrogen storage to allow not only flexibility in the power system, but also high utilization rates of the downstream synthesis processes (e.g., via Fischer-Tropsch plants). Other options for renewable synthetic fuel production are solar thermal chemical processes, which directly use high-temperature solar heat.

8.3 Global: Utilization of Solar and Wind Potential

The economic potential, under space constraints, of utility solar PV, concentrated solar power (CSP), and onshore wind was analysed with the methodology described in Sect. 3.​3 of Chap. 3.
The 2.0 °C Scenario utilizes only a fraction of the available economic potential of the assumed suitable land for utility-scale solar PV and concentrated solar power plants. This estimate does not include solar PV roof-top systems, which have significant additional potential. India (2.0 °C) will have the highest solar utilization rate of 8.5%, followed by Europe (2.0 °C) and the Middle East (2.0 °C), with 5.9% and 4.6%, respectively.
Onshore wind potential has been utilized to a larger extent than solar potential. In the 2.0 °C Scenario, space-constrained India will utilize more than half of onshore wind, followed by Europe with 20%. This wind potential excludes offshore wind, which has significant potential but the mapping for the offshore wind potential was beyond the scope of this analysis (Table 8.6).
Table 8.6
Economic potential within a space-constrained scenario and utilization rates for the 2.0 °C and 1.5 °C scenarios
Economic Potential within available space
SOLAR
Installed capacity by 2050
Utilization rate
WIND
Installed capacity by 2050
Utilization rate
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Tech. space potential
PV
CSP
PV
CSP
  
Onshore wind
[GW]
[GW]
[%]
[GW]
[GW]
[%]
OECD North America
445,954
1688
208
1816
236
0.4%
0.5%
86,846
847
833
1.0%
1.0%
Latin America
148,664
317
66
425
79
0.3%
0.3%
29,736
220
237
0.7%
0.8%
OECD Europe
14,364
793
54
918
57
5.9%
6.8%
2873
577
636
20.1%
22.1%
Middle East
24,451
881
252
742
216
4.6%
3.9%
470
455
434
96.8%
92.4%
Africa
914,180
767
247
930
257
0.1%
0.1%
190,711
485
509
0.3%
0.3%
Eurasia
Not available
658
22
657
34
  
Not available
564
544
  
Non-OECD-Asia
44,064
1065
274
1005
224
3.0%
2.8%
4740
515
506
10.9%
10.7%
India
1323
1257
209
1129
209
8.5%
7.7%
1974
1139
983
57.7%
49.8%
China
176,916
1756
762
1772
614
1.4%
1.3%
17,848
1180
1345
6.6%
7.5%
OECD Pacific
124,178
665
57
745
67
0.6%
0.7%
24,447
244
303
1.0%
1.2%
The 1.5 °C Scenario is based on the accelerated deployment of all renewables and the more ambitious implementation of efficiency measures. Therefore, the total installed capacity of solar and wind generators by 2050 is not necessarily larger than it is in the 2.0 °C Scenario, and the utilization rate is in the same order of magnitude. The increased deployment of renewable capacity in OECD Pacific (Australia), the Middle East, and OECD North America (USA) will be due to the production of synthetic bunker fuels from hydrogen to supply global transport energy for international shipping and aviation.

8.4 Global: Power Sector Analysis

The long-term global and regional energy results were used to conduct a detailed power sector analysis with the methodology described in Sect. 3.​5 of Chap. 3. Both the 2.0 °C and 1.5 °C Scenarios rely on high shares of variable solar and wind generation. The aim of the power sector analysis was to gain insight into the power system stability for each region (subdivided into up to eight sub-regions) and to gauge the extent to which power grid interconnections, dispatch generation services, and storage technologies are required. The results presented in this chapter are projections calculated from publicly available data. Detailed load curves for some of the sub-regions and countries discussed in this chapter were not available and, in some cases, the relevant information is classified. Therefore, the outcomes of the [R]E 24/7 model are estimates and require further research with more detailed localized data, especially regarding the available power grid infrastructure. Furthermore, power sector projections for developing countries, especially in Africa and Asia, assume unilateral access to energy services for the residential sector by 2050, and they require transmission and distribution grids in regions where there are none at the time of writing. Further research—in cooperation with local utilities and government representatives—is required to develop a more detailed understanding of power infrastructure needs.

8.4.1 Global: Development of Power Plant Capacities

The size of the global market for renewable power plants will increase significantly under the 2.0 °C Scenario. The annual market for solar PV power must increase from close to 100 GW in 2017 (REN21-GSR 2018) by a factor of 4.5 to an average of 454 GW by 2030. The onshore wind market must expand to 172 GW by 2025, about three times higher than in 2017 (REN21-GSR 2018). The offshore wind market will continue to increase in importance within the renewable power sector. By 2050, offshore wind installations will increase to 32 GW annually—11 times higher than in 2017 (GWEC 2018). Concentrated solar power plants will play an important role in dispatchable solar electricity generation for the supply of bulk power, especially for industry, and will provide secured capacity to power systems. By 2030, the annual CSP market must increase to 78 GW, compared with 3 GW in 2020 and only 0.1 GW in 2017 (REN21-GSR2018) (Table 8.7).
Table 8.7
World: average annual change in the installed power plant capacity
Global power generation: average annual change of installed capacity [GW/a]
2015–2025
2026–2035
2036–2050
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Hard coal
2
−107
−96
−119
−68
−12
Lignite
−25
−34
−16
−9
−3
−1
Gas
41
70
44
72
−199
−28
Hydrogen-gas
1
17
12
57
240
246
Oil/diesel
−18
−32
−29
−28
−6
−2
Nuclear
−15
−27
−23
−24
−7
−10
Biomass
24
40
26
29
25
21
Hydro
19
10
7
7
7
8
Wind (onshore)
121
307
273
333
242
158
Wind (offshore)
16
64
75
91
64
45
PV (roof top)
170
413
368
437
399
324
PV (utility scale)
57
138
123
146
133
108
Geothermal
5
16
22
24
28
23
Solar thermal power plants
9
57
93
109
102
85
Ocean energy
4
10
20
20
28
23
Renewable fuel based co-generation
13
31
27
31
25
20
In the 1.5 °C Scenario, the phase-out of coal and lignite power plants is accelerated and a total capacity of 618 GW—equivalent to approximately 515 power stations1—must end operation by 2025. The replacement power must come from a variety of renewable power generators, both variable and dispatchable. The annual market for solar PV must be around 30% higher in 2050 than it was in 2025, as in the 2.0 °C Scenario. While the onshore wind market also has an accelerated trajectory under the 1.5 °C Scenario as well, the offshore wind market is assumed to be almost identical to that in the 2.0 °C pathway because of the longer lead times for these projects. The same is assumed for CSP plants, which are utility-scale projects and significantly higher deployment seems unlikely in the time remaining until 2025.

8.4.2 Global: Utilization of Power-Generation Capacities

On a global scale, in the 2.0 °C and 1.5 °C Scenarios, the shares of variable renewable power generation will increase from 4% in 2015 to 39% and 47%, respectively, by 2030, and to 64% and 60%, respectively, by 2050. The reason for the variations in the two cases is their different assumptions regarding efficiency measures, which may lead to lower overall demand in the 1.5 °C Scenario than in the 2.0 °C Scenario. During the same period, dispatchable renewables—CSP plants, biofuel generation, geothermal energy, and hydropower—will remain around 32% until 2030 on a global average and decrease slightly to 29% in the 2.0 °C Scenario (and to 27% in the 1.5 °C Scenario) by 2050. The shares of dispatchable conventional generation—mainly coal, oil, gas, and nuclear—will decline from a global average of 60% in 2015 to only 14% in 2040. By 2050, the remaining dispatchable conventional gas power plants will have been converted to operate with hydrogen and synthetic fuels, to avoid stranded investments and to achieve higher quantities of dispatch power capacity. Table 8.8 shows the increasing shares of variable renewable power generation—solar PV and wind power—under the 2.0 °C and 1.5 °C Scenarios over the entire modelling period. The main difference between the two scenarios is the time horizon until variable renewable power generation is implemented, with more rapid implementation in the 1.5 °C Scenario. Again, increased variable shares—mainly in the USA, the Middle East region, and Australia—will produce synthetic fuels for the export market, as fuel for both renewable power plants and the transport sector.
Table 8.8
Global: power system shares by technology group
Power generation structure in 10 world regions
 
2.0 °C
1.5 °C
World
Variable renewables
Dispatch renewables
Dispatch fossil
Variable renewables
Dispatch renewables
Dispatch fossil
OECD North America
2015
7%
35%
58%
7%
41%
52%
2030
48%
30%
23%
59%
27%
15%
2050
68%
19%
13%
68%
21%
11%
Latin America
2015
3%
63%
34%
3%
62%
35%
2030
24%
51%
25%
36%
61%
3%
2050
39%
45%
16%
40%
46%
13%
Europe
2015
15%
47%
38%
15%
47%
38%
2030
44%
44%
12%
51%
39%
10%
2050
67%
28%
4%
69%
27%
4%
Middle East
2015
0%
12%
88%
0%
13%
87%
2030
51%
19%
31%
56%
18%
27%
2050
81%
19%
0%
70%
16%
13%
Africa
2015
2%
26%
73%
2%
17%
81%
2030
47%
21%
32%
52%
13%
35%
2050
73%
27%
0%
64%
15%
21%
Eurasia
2015
1%
35%
63%
1%
35%
63%
2030
36%
43%
21%
40%
46%
14%
2050
69%
23%
7%
65%
25%
10%
Non-OECD Asia
2015
1%
35%
64%
1%
35%
64%
2030
26%
35%
39%
36%
34%
30%
2050
52%
28%
19%
55%
28%
17%
India
2015
4%
32%
64%
4%
32%
64%
2030
45%
26%
29%
60%
21%
19%
2050
72%
27%
1%
58%
26%
16%
China
2015
6%
35%
59%
6%
21%
73%
2030
30%
24%
46%
39%
30%
31%
2050
49%
47%
5%
49%
42%
9%
OECD Pacific
2015
4%
34%
61%
4%
34%
61%
2030
40%
31%
30%
45%
29%
27%
2050
71%
26%
2%
64%
22%
14%
Global average
2015
4%
35%
60%
4%
34%
62%
2030
39%
32%
29%
47%
32%
21%
2050
64%
29%
7%
60%
27%
13%
Note: Variable renewable generation shares in long term energy pathways and power sector analysis differ due to different calculation methods. The power sector analysis results are based on the sum of up to eight sub-regional simulations, while the long term energy pathway is based on the regional average generation excluding variations in solar and wind resources within that region
Table 8.9 provides an overview of the capacity factor developments by technology group for the 2.0 °C and 1.5 °C Scenarios. The operational hours shown are the result of [R]E 24/7 modelling under the ‘Dispatch case’, which assumes that the highest priority is given to the dispatch of power from variable sources, followed by dispatchable renewables. Conventional power generation will only provide power for electricity demand that cannot be met by renewables and storage technologies. Only imports via interconnections will be assigned a lower priority than conventional power. The reason that interconnections are placed last in the supply cascade is the high level of uncertainty about whether these interconnections can actually be implemented in time. Experience with power grid projects—especially transmission lines—indicates that planning and construction can take many years or fail entirely, leaving large-scale utility-based renewable power projects unbuilt.
Table 8.9
Global: capacity factors for variable and dispatchable power generation
Utilization of variable and dispatchable power generation:
 
2015
2020
2020
2030
2030
2040
2040
2050
2050
World
 
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Capacity factor – average
[%/yr]
49.5%
37%
37%
33%
31%
34%
30%
33%
31%
Limited dispatchable: fossil and nuclear
[%/yr]
58.7%
34%
34%
24%
16%
25%
10%
17%
9%
Limited dispatchable: renewable
[%/yr]
36.9%
45%
45%
42%
36%
58%
31%
39%
34%
Dispatchable: fossil
[%/yr]
42.9%
28%
28%
19%
15%
33%
15%
19%
19%
Dispatchable: renewable
[%/yr]
43.1%
56%
56%
54%
47%
42%
39%
51%
43%
Variable: renewable
[%/yr]
14.6%
14%
14%
28%
26%
28%
26%
29%
27%
On the global level, the average capacity factor across all power-generation technologies is around 45%. For this analysis, we created five different power plant categories based on their current usual operation times and areas of use:
  • Limited dispatchable fossil and nuclear power plants: coal, lignite, and nuclear power plants with limited ability to respond to changes in demand. These power plants are historically categorized as ‘baseload power plants’. Power systems dominated by renewable energy usually contain high proportions of variable generation, and therefore quick reaction times (to ramp up and down) are required. Limited dispatchable power plants cannot deliver these services and are therefore being phased-out.
  • Limited dispatchable renewable systems are CSP plants with integrated storage and co-generation systems with renewable fuels (including geothermal heat). They cannot respond quickly enough to adapt to minute-by-minute changes in demand, but can still be used as dispatch power plants for ‘day ahead’ planning.
  • Dispatchable fossil fuel power plants are gas power plants that have very quick reaction times and therefore provide valid power system services.
  • Dispatchable renewable power plants are hydropower plants (although they are dependent on the climatic conditions in the region where the plant is used), biogas power plants, and former gas power plants converted to hydrogen and/or synthetic fuel. This technology group is responsible for most of the required load-balancing services and is vital for the stability of the power system, as storage systems, interconnections, and, if possible, demand-side management.
  • Variable renewables are solar PV plants, onshore and offshore wind farms, and ocean energy generators. A sub-category of ocean energy plants—tidal energy plants—is very predictable.
Table 8.9 shows the development of the utilization of limited and fully dispatchable power generators—both fossil and renewable fuels—and variable power generation. In the 2.0 °C Scenario, conventional power generation in the baseload mode—currently with an annual operation time of around 6000 h per year or more—will decline sharply after 2030 and the annual operation time will be halved, whereas medium-load and dispatch power plants will predominate. The system share of dispatchable renewables will remain around 45%–50% throughout the entire modelling period.

8.4.3 Global: Development of Load, Generation, and Residual Load

Table 8.10 shows the development of the maximum and average loads for the 10 world regions, the average and maximum power generation in each region in megawatts, and the residual loads under both alternative scenarios. The residual load in this analysis is the load remaining after variable renewable power generation. Negative values indicate that the power generation from solar and wind exceeds the actual load and must be exported to other regions, stored, or curtailed. In each region, the average generation should be on the same level as the average load. The maximum loads and maximum generations shown do not usually occur at the same time, so surplus production of electricity can appear and this should be exported or stored as much as possible. In rare individual cases, solar or wind generation plants can also temporarily reduce their output to a lower load, or some plants can be shut down. Any reduced generation from solar and wind in response to low demand is defined as curtailment.
Table 8.10
Global: load, generation, and residual load development
Power generation structure in 10 world regions
 
2.0 °C
1.5 °C
World
Max demand [GW]
Max generation [GW]
Max residual load [GW]
Max load development (Base 2020) [GW]
Max demand [GW]
Max generation [GW]
Max residual load [GW]
Max load development (Base 2020) [GW]
OECD North America
2020
753
723
57
100%
755
989
58
100%
2030
864
1159
145
115%
919
1532
194
122%
2050
1356
2779
469
180%
1362
2900
496
180%
Latin America
2020
218
214
30
100%
218
274
18
100%
2030
343
377
74
157%
312
418
25
143%
2050
533
601
154
244%
550
696
122
252%
OECD Europe
2020
574
584
121
100%
574
583
125
100%
2030
620
718
95
108%
639
936
104
111%
2050
862
1530
417
150%
900
1727
448
157%
Middle East
2020
174
181
−29
100%
174
180
−26
100%
2030
229
297
−20
132%
237
346
−13
136%
2050
551
1164
−67
317%
522
1018
−161
300%
Africa
2020
164
125
47
100%
164
135
37
100%
2030
280
261
101
171%
296
305
105
181%
2050
875
1363
647
534%
915
1562
412
559%
Eurasia
2020
257
163
107
100%
257
171
106
100%
2030
316
332
147
123%
330
416
139
129%
2050
630
1338
271
245%
632
1296
275
246%
Non-OECD Asia
2020
248
135
122
100%
248
133
124
100%
2030
415
389
256
167%
423
465
296
171%
2050
935
1459
728
377%
841
1394
656
339%
India
2020
288
266
44
100%
288
249
61
100%
2030
493
624
112
171%
491
861
148
170%
2050
1225
1880
854
425%
1207
1865
558
419%
China
2020
957
935
74
100%
953
946
57
100%
2030
1233
1249
173
129%
1219
1613
179
128%
2050
1967
2724
1415
206%
1990
3203
−609
209%
OECD Pacific
2020
354
322
47
100%
354
318
47
100%
2030
308
468
21
87%
318
544
36
90%
2050
410
997
196
116%
471
1140
173
133%
Figure 8.16 illustrates the development of the maximum loads across all 10 world regions under the 2.0 °C and 1.5 °C Scenarios. The most significant increase appears in Africa, where the maximum load surges over the entire modelling period by 534% in response to favourable economic development and increased access to energy services by households. In OECD Pacific, efficiency measures will lead to a reduction in the maximum load to 87% of the base year value by 2030 and will increase to 116% by 2050 with the expansion of electric mobility and the increased electrification of the process heat supply in the industry sector. The 1.5 °C Scenario has slightly higher loads in response to the accelerated electrification of the industry, heating, and business sectors, except in three regions (the Middle East, India, and Non OECD Asia), where early action on efficiency measures will lead to an overall lower demand at the end of the modelling period, with the same GDP and population growth rates.

8.4.4 Global System-Relevant Technologies—Storage and Dispatch

The global results of introducing system-relevant technologies are shown in Table 8.8. The first part of this section documents the required power plant markets, the changes and configurations of power-generation systems, and the development of loads in response to high electrification rates in the industry, heating, and transport sectors. The next step in the analysis documents the storage and dispatch demands and possible technology utilization. It is important to note that the results presented here are not cost-optimized. The mixture of battery storage and pumped hydropower plants with hydrogen- and synthetic-fuel-based dispatch power plants presented here represents only one option of many.
Significant simplification is required for the computer simulations of large regions, to reduce the data volumes (and calculation times) or simply because there is not yet any data, because several regions still have no electricity infrastructure in place. Detailed modelling requires access to detailed data. Although the modelling tools used for this analysis could be used to develop significantly more-detailed regional analyses, this is beyond the scope of this research.
The basic concept for the management of power system generation is based on four principles:
1.
Diversity;
 
2.
Flexibility;
 
3.
Inter-sectorial connectivity;
 
4.
Resource efficiency.
 
Diversity
in the locally deployed renewable power-generation structure. For example, a combination of onshore and offshore wind with solar PV and CSP plants will reduce storage and dispatch demands.
Flexibility
involves a significant number of fast-reacting dispatch power plants operated with fuels produced from renewable electricity (hydrogen and synthetic fuels). The existing gas infrastructure can be further utilized to avoid stranded investments, and the actual fuel production can also be used—with some technical limitations—for load management, which again will reduce the need for storage technologies.
Inter-sectorial connectivity
involves the connection of the heating (including process heat) and transport sectors. Neither the transport sector nor the heating sector will undergo complete electrification. To supply industrial process heat, the capacity of co-generation plants—operated with bio-, geothermal, or hydrogen fuels—will be increased by a factor of 2.5 in the 1.5 °C Scenario. Co-generation heating systems with heat storage capacities and heat pumps operated with renewable electricity will lead to more flexibility in the management of both load and demand. However, an analysis of the full potential for these heating systems was not within the scope of this project, so they have not been included in the modelling. Further research with localized data is required.
Resource efficiency
In addition to energy and GHG modelling, a resource assessment of selected metals has been undertaken (see Chap. 11). A variety of technologies—especially storage technologies—can be used to reduce the pressure on resource requirements, namely for cobalt and lithium for batteries and electric mobility and the silver required for solar technologies. Therefore, the choice of storage technologies has taken the specific requirements for metals into account.
Table 8.11 shows the storage volumes (in GWh per year) required to avoid the curtailment of variable renewable power generation and the utilization of storage capacities for batteries and pumped hydro for charging with variable renewable electricity in the calculated scenarios. The total storage throughput, including the hydrogen production and the amount of hydrogen-based dispatch power plants, is also shown.
Table 8.11
Global: storage and dispatch
Storage and dispatch
 
2.0 °C
1.5 °C
World
Required to avoid curtailment
Utilization battery
-charge-
Utilization PSH
-charge-
Total (incl. H2)
Dispatch H2
Required to avoid curtailment
Utilization battery
-charge-
Utilization PSH
-charge-
Total (incl. H2)
Dispatch
H2
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
OECD North America
2020
0
0
0
0
0
0
0
0
0
0
2030
62,369
341
192
1065
11,181
243,235
243,235
475
2405
11,181
2050
853,401
21,805
868
45,331
238,730
999,704
999,704
924
46,766
238,730
Latin America
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
34
1207
1207
99
318
34
2050
1314
640
34
1347
127,226
30,526
30,526
621
12,875
127,226
OECD Europe
2020
0
0
0
0
0
0
0
0
0
0
2030
6238
315
5265
11,161
60,223
38,504
38,504
20,566
42,827
60,223
2050
212,060
30,546
58,368
177,632
814,585
301,234
301,234
72,812
215,641
814,585
Middle East
2020
0
0
0
0
0
0
0
0
0
0
2030
18,088
2
943
1890
0
44,945
44,945
1469
2943
0
2050
752,882
109
4636
9180
0
554,222
554,222
4371
8618
0
Africa
2020
0
0
0
0
0
0
0
0
0
0
2030
4877
118
2244
4726
0
11,264
11,264
2672
5591
0
2050
367,201
6514
8977
30,974
212,902
585,423
585,423
9282
31,210
212,902
Eurasia
2020
0
0
0
0
0
0
0
0
0
0
2030
736
1
169
341
14,106
6031
6031
644
1295
14,106
2050
296,490
948
8396
18,661
401,044
249,984
249,984
7258
16,303
401,044
Non-OECD Asia
2020
0
0
0
0
0
0
0
0
0
0
2030
137
2
15
34
0
6848
6848
311
646
0
2050
171,973
2478
2261
9465
386,454
228,160
228,160
2943
8789
386,454
India
2020
0
0
0
0
0
0
0
0
0
0
2030
59,399
52
2983
6069
1759
182,561
182,561
8577
17,487
1759
2050
372,809
2125
6715
17,678
28,113
437,884
437,884
6595
17,199
28,113
China
2020
0
0
0
0
0
0
0
0
0
0
2030
1102
19
394
827
2582
45,217
45,217
7266
14,957
2582
2050
102,042
57,483
2966
120,899
623,254
264,729
264,729
20,885
60,022
623,254
OECD Pacific
2020
16
0
0
0
0
16
16
0
0
0
2030
84,079
623
4601
10,403
831
146,440
146,440
6688
14,855
831
2050
654,287
70,404
14,815
170,431
81,215
760,962
760,962
14,865
169,093
81,215
Total global
2020
16
0
0
0
0
16
0
0
0
0
2030
237,026
1474
16,808
36,517
90,716
726,252
2945
48,767
103,323
90,716
2050
3,784,459
193,051
108,037
601,598
2,913,522
4,412,827
153,528
140,555
586,516
2,913,522
Pumped hydropower will remain the backbone of the storage concept until 2030, when batteries start to overtake pumped hydropower by volume. The model does not distinguish between different battery or pumped hydro technologies. Hydrogen-based dispatch will remain the largest contributor to systems services after 2030 until the end of the modelling period.

8.4.5 Global: Required Storage Capacities for the Stationary Power Sector

The world market for storage and dispatch technologies and services will increase significantly in the 2.0 °C Scenario. The annual market for new hydro pump storage plants will grow on average by 6 GW per year to a total capacity of 244 GW in 2030. During the same period, the total installed capacity for batteries will grow to 12 GW, requiring an annual market of 1 GW. Between 2030 and 2050, the energy service sector for storage and storage technologies must accelerate further. The battery market must grow by an annual installation rate of 22 GW, and as a result, it will overtake the global capacity of pumped hydro between 2040 and 2050. The conversion of the gas infrastructure from natural gas to hydrogen and synthetic fuels will start slowly between 2020 and 2030, with the conversion of power plants with an annual capacity of around 2 GW. However, after 2030, the transformation of the global gas industry to hydrogen will accelerate significantly, with a total of 197 GW of gas power plants and gas co-generation capacity converted each year. In parallel, the average capacity factor for gas and hydrogen plants will decrease from 29% (2578 h/year) in 2030 to 11% (975 h/year) by 2050, turning the gas sector from a supply-driven to a service-driven industry.
At around 2030, the 1.5 °C Scenario requires more storage throughput than does the 2.0 °C Scenario, but storage demands for the two scenarios will be equal at the end of the modelling period. It is assumed that this higher throughput can be managed with equally high installed capacities, leading to annual capacity factors for battery and hydro pump storage of around 5–6% by 2050 (Table 8.12).
Table 8.12
Required increases in storage capacities until 2050
 
Global storage and H2-dispatch market volume under 2 scenarios
Batteries
Storage technology share
Pumped hydro
Storage technology share
Hydrogen
-production + dispatch
[Through-put]
Cumulative capacity
[Through-put]
Cumulative capacity
[Through-put]
Cumulative capacity
[GWh/year]
[GW]
[%]
[GWh/year]
[GW]
[%]
[GWh/year]
[GW]
2015
 
No data
2
1
No data
153
99
 
No data
2030
2.0 °C
1474
12
8
16,808
244
92
90,716
35
2030
1.5 °C
2945
13
6
48,767
255
94
351,496
137
2050
2.0 °C
193,051
347
64
108,037
267
36
2,913,522
2990
2050
1.5 °C
153,528
340
52
140,555
278
48
2,075,533
3423
Table 8.13 shows the average global investment costs for the battery and hydro pump storage capacities in the 2.0 °C and 1.5 °C Scenarios. Both pathways have equal storage capacities and cost projections, especially for batteries, but are highly uncertain in the years beyond 2025. Therefore, the costs are only estimates and require research.
Table 8.13
Estimated average global investment costs for batty and hydro pump storage
Estimated storage investment costs (In $ billion)
2015–2020
Average annual
2021–2030
Average annual
2031–2040
Average annual
2041–2050
Average annual
2015–2050
Average annual
Storage
Battery
4.8
0.967
44.5
4.4
148.1
14.8
655.8
65.6
853.3
24.4
Hydro pump storage
0
0
38.7
3.9
42.7
4.3
47.2
4.7
128.6
3.7
Total
4.8
0.967
83.2
8.3
190.8
19.1
703.0
70.3
981.9
28.1

8.5 OECD North America

8.5.1 OECD North America: Long-Term Energy Pathways

8.5.1.1 OECD North America: Final Energy Demand by Sector

Combining the assumptions for population growth, GDP growth, and energy intensity will result in the development pathways for OECD North America’s final energy demand shown in Fig. 8.17 under the 5.0 °C, 2.0 °C, and 1.5 °C Scenarios. Under the 5.0 °C Scenario, the total final energy demand will increase by 10% from the current 70,500 PJ/year to 77,800 PJ/year in 2050. In the 2.0 °C Scenario, the final energy demand will decrease by 47% compared with current consumption and will reach 37,300 PJ/year by 2050. The final energy demand in the 1.5 °C Scenario will reach 33,700 PJ, 52% below the 2015 demand level. In the 1.5 °C Scenario, the final energy demand in 2050 will be 10% lower than in the 2.0 °C Scenario. The electricity demand for ‘classical’ electrical devices (without power-to-heat or e-mobility) will decrease from 4230 TWh/year in 2015 to 3340 TWh/year (2.0 °C) or 2950 TWh/year (1.5 °C) by 2050. Compared with the 5.0 °C case (6050 TWh/year in 2050), the efficiency measures in the 2.0 °C and 1.5 °C Scenarios will save a maximum of 2710 TWh/year and 3100 TWh/year, respectively.
Electrification will lead to a significant increase in the electricity demand by 2050. The 2.0 °C Scenario will require approximately 1400 TWh/year of electricity for electric heaters and heat pumps, and in the transport sector, it will require approximately 3300 TWh/year for electric mobility. The generation of hydrogen (for transport and high-temperature process heat) and the manufacture of synthetic fuels (mainly for transport) will add an additional power demand of 3000 TWh/year. Therefore, the gross power demand will rise from 5300 TWh/year in 2015 to 9500 TWh/year in 2050 in the 2.0 °C Scenario, 30% higher than in the 5.0 °C case. In the 1.5 °C Scenario, the gross electricity demand will increase to a maximum of 9400 TWh/year in 2050 for similar reasons.
The efficiency gains in the heating sector will be similar in magnitude to those in the electricity sector. Under the 2.0 °C and 1.5 °C Scenarios, a final energy consumption equivalent to about 7000 PJ/year and 9400 PJ/year, respectively, will be avoided by 2050 through efficiency gains compared with the 5.0 °C Scenario.

8.5.1.2 OECD North America: Electricity Generation

The development of the power system is characterized by a dynamically growing renewable energy market and an increasing proportion of total power from renewable sources. In the 2.0 °C Scenario, 100% of the electricity produced in OECD North America will come from renewable energy sources by 2050. ‘New’ renewables—mainly wind, solar, and geothermal energy—will contribute 85% of the total electricity generated. Renewable electricity’s share of the total production will be 68% by 2030 and 89% by 2040. The installed capacity of renewables will reach about 1880 GW by 2030 and 3810 GW by 2050. In the 1.5 °C Scenario, the share of renewable electricity generation in 2030 is assumed to be 84%. The 1.5 °C Scenario projects a generation capacity from renewable energy of about 3920 GW in 2050.
Table 8.14 shows the development of the installed capacities of different renewable technologies in OECD North America over time. Figure 8.18 provides an overview of the overall power-generation structure in OECD North America. From 2020 onwards, the continuing growth of wind and PV—to 1090 GW and 2130 GW, respectively—is complemented by up to 210 GW of solar thermal generation, as well as limited biomass, geothermal, and ocean energy, in the 2.0 °C Scenario. Both the 2.0 °C and 1.5 °C Scenarios will lead to a high proportion of variable power generation (PV, wind, and ocean) of 49% and 59%, respectively, by 2030, and 73% and 74%, respectively, by 2050.
Table 8.14
OECD North America: development of renewable electricity generation capacity in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Hydro
5.0 °C
194
202
207
216
217
2.0 °C
194
199
202
206
206
1.5 °C
194
199
202
203
203
Biomass
5.0 °C
22
25
27
30
35
2.0 °C
22
27
32
42
52
1.5 °C
22
35
39
43
45
Wind
5.0 °C
87
157
172
197
253
2.0 °C
87
323
540
812
1092
1.5 °C
87
358
656
924
1059
Geothermal
5.0 °C
5
5
6
9
12
2.0 °C
5
6
9
23
37
1.5 °C
5
5
8
25
37
PV
5.0 °C
29
133
162
220
358
2.0 °C
29
534
991
1419
2129
1.5 °C
29
659
1097
1783
2269
CSP
5.0 °C
2
2
3
4
12
2.0 °C
2
22
87
168
209
1.5 °C
2
39
148
257
236
Ocean
5.0 °C
0
0
1
2
4
2.0 °C
0
3
15
59
85
1.5 °C
0
2
13
52
66
Total
5.0 °C
338
523
577
678
891
2.0 °C
338
1115
1878
2729
3810
1.5 °C
338
1298
2163
3288
3916

8.5.1.3 OECD North America: Future Costs of Electricity Generation

Figure 8.19 shows the development of the electricity-generation and supply costs over time, including CO2 emission costs, in all scenarios. The calculated electricity-generation costs in 2015 (referring to full costs) were around 4.9 ct/kWh. In the 5.0 °C case, the generation costs will increase until 2050, when they reach 10.1 ct/kWh. The generation costs in the 2.0 °C Scenario will increase in a similar way until 2030, when they reach 8.3 ct/kWh, and then drop to 6.8 ct/kWh by 2050. In the 1.5 °C Scenario, they will increase to 8.8 ct/kWh and then drop to 7.1 ct/kWh by 2050. In the 2.0 °C Scenario, the generation costs in 2050 are 3.3 ct/kWh lower than in the 5.0 °C case. In the 1.5 °C Scenario, the generation costs in 2050 are 3.1 ct/kWh lower than in the 5.0 °C case. Note that these estimates of generation costs do not take into account integration costs such as power grid expansion, storage, or other load-balancing measures.
Under the 5.0 °C case, the growth in demand and increasing fossil fuel prices will result in an increase in total electricity supply costs from today’s $270 billion/year to more than $760 billion/year in 2050. In both alternative scenarios, the total supply costs in 2050 will be around $690 billion/year The long-term costs for electricity supply in 2050 will be 8%–9% lower than in the 5.0 °C Scenario as a result of the estimated generation costs and the electrification of heating and mobility.
Compared with these results, the generation costs when the CO2 emission costs are not considered will increase in the 5.0 °C case to 7.5 ct/kWh. In the 2.0 °C Scenario, they will increase until 2030, when they reach 7.3 ct/kWh, and then drop to 6.8 ct/kWh by 2050. In the 1.5 °C Scenario, they will increase to 8.4 ct/kWh in 2030, and then drop to 7.1 ct/kWh by 2050. In the 2.0 °C Scenario, the generation costs will be, at maximum, 1 ct/kWh higher than in the 5.0 °C case, and this will occur in 2030. In the 1.5 °C Scenario, compared with the 5.0 °C Scenario, the maximum difference in generation costs will be 2 ct/kWh in 2030. If the CO2 costs are not considered, the total electricity supply costs in the 5.0 °C case will increase to $570 billion/year in 2050.

8.5.1.4 OECD North America: Future Investments in the Power Sector

An investment of around $7600 billion will be required for power generation between 2015 and 2050 in the 2.0 °C Scenario—including additional power plants for the production of hydrogen and synthetic fuels and investments in plant replacement after the end of their economic lifetimes. This value is equivalent to approximately $211 billion per year on average, which is $4400 billion more than in the 5.0 °C case ($3200 billion). In the 1.5 °C Scenario, an investment of around $8180 billion for power generation will be required between 2015 and 2050. On average, this is an investment of $227 billion per year. In the 5.0 °C Scenario, the investment in conventional power plants will be around 48% of the total cumulative investments, whereas approximately 52% will be invested in renewable power generation and co-generation (Fig. 8.20). However, under the 2.0 °C (1.5 °C) Scenario, OECD North America will shift almost 93% (93%) of its entire investment to renewables and co-generation. By 2030, the fossil fuel share of the power sector investment will mainly focus on gas power plants that can also be operated with hydrogen.
Because renewable energy has no fuel costs, other than biomass, the cumulative fuel cost savings in the 2.0 °C Scenario will reach a total of $3240 billion in 2050, equivalent to $90 billion per year. Therefore, the total fuel cost savings will be equivalent to 70% of the total additional investments compared to the 5.0 °C Scenario. The fuel cost savings in the 1.5 °C Scenario will add up to $3910 billion, or $109 billion per year.

8.5.1.5 OECD North America: Energy Supply for Heating

The final energy demand for heating will increases in the 5.0 °C Scenario by 32%, from 19,700 PJ/year in 2015 to 26,000 PJ/year in 2050. Energy efficiency measures will help to reduce the energy demand for heating by 27% by 2050 in the 2.0 °C Scenario relative to the 5.0 °C case, and by 36% in the 1.5 °C Scenario. Today, renewables supply around 11% of OECD North America’s final energy demand for heating, with the main contribution from biomass. Renewable energy will provide 38% of OECD North America’s total heat demand in 2030 in the 2.0 °C Scenario and 61% in the 1.5 °C Scenario. In both scenarios, renewables will provide 100% of the total heat demand in 2050.
Figure 8.21 shows the development of different technologies for heating in OECD North America over time, and Table 8.15 provides the resulting renewable heat supply for all scenarios. Until 2030, biomass will remain the main contributor. The growing use of solar, geothermal, and environmental heat will lead, in the long term, to a biomass share of 25% under the 2.0 °C Scenario and 19% under the 1.5 °C Scenario. Heat from renewable hydrogen will further reduce the dependence on fossil fuels under both scenarios. Hydrogen consumption in 2050 will be around 3000 PJ/year in the 2.0 °C Scenario and 2700 PJ/year in the 1.5 °C Scenario. The direct use of electricity for heating will also increase by a factor of 4.6–4.9 between 2015 and 2050 and will have a final energy share of 21% in 2050 in the 2.0 °C Scenario and 26% in the 1.5 °C Scenario.
Table 8.15
OECD North America: development of renewable heat supply in the scenarios (excluding the direct use of electricity)
in PJ/year
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
1868
2142
2334
2787
3279
2.0 °C
1868
2758
3019
3493
3686
1.5 °C
1868
2707
3149
3191
2378
Solar heating
5.0 °C
107
210
277
451
695
2.0 °C
107
887
1772
2639
2962
1.5 °C
107
1290
2169
2839
3128
Geothermal heat and heat pumps
5.0 °C
17
17
18
18
19
2.0 °C
17
875
1378
3031
5257
1.5 °C
17
1076
2185
3463
4152
Hydrogen
5.0 °C
0
0
0
0
0
2.0 °C
0
144
276
1014
3045
1.5 °C
0
22
677
2100
2666
Total
5.0 °C
1991
2369
2629
3256
3994
2.0 °C
1991
4664
6445
10,176
14,949
1.5 °C
1991
5095
8180
11,592
12,324

8.5.1.6 OECD North America: Future Investments in the Heating Sector

The roughly estimated investments in renewable heating technologies up to 2050 will amount to around $2580 billion in the 2.0 °C Scenario (including investments for plant replacement after their economic lifetimes) or approximately $72 billion per year. The largest share of investment in OECD North America is assumed to be for heat pumps (around $1300 billion), followed by solar collectors and biomass technologies. The 1.5 °C Scenario assumes an even faster expansion of renewable technologies, resulting in a lower average annual investment of around $78 billion per year (Table 8.16, Fig. 8.22).
Table 8.16
OECD North America: installed capacities for renewable heat generation in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
292
315
330
366
411
2.0 °C
292
381
387
355
272
1.5 °C
292
360
384
334
179
Geothermal
5.0 °C
0
0
0
0
0
2.0 °C
0
17
30
44
52
1.5 °C
0
34
57
82
109
Solar heating
5.0 °C
29
58
76
124
191
2.0 °C
29
232
466
697
780
1.5 °C
29
331
557
728
793
Heat pumps
5.0 °C
3
3
3
3
3
2.0 °C
3
123
188
393
677
1.5 °C
3
143
292
479
568
Totala
5.0 °C
324
375
410
494
605
2.0 °C
324
752
1071
1489
1781
1.5 °C
324
868
1290
1622
1649
a Excluding direct electric heating

8.5.1.7 OECD North America: Transport

Energy demand in the transport sector in OECD North America is expected to decrease by 8% in the 5.0 °C Scenario, from around 31,000 PJ/year in 2015 to 28,600 PJ/year in 2050. In the 2.0 °C Scenario, assumed technical, structural, and behavioural changes will save 73% (20,970 PJ/year) in 2050 compared with the 5.0 °C case. Additional modal shifts, technology switches, and a reduction in transport demand will lead to even higher energy savings in the 1.5 °C Scenario, of 74% (or 21,100 PJ/year) in 2050 compared with the 5.0 °C case (Table 8.17, Fig. 8.23).
Table 8.17
OECD North America: projection of the transport energy demand by mode in the scenarios
in PJ/year
Case
2015
2025
2030
2040
2050
Rail
5.0 °C
674
628
609
570
529
2.0 °C
674
660
655
523
516
1.5 °C
674
743
730
773
806
Road
5.0 °C
26,686
25,691
24,838
24,222
23,414
2.0 °C
26,686
21,257
15,933
7731
5124
1.5 °C
26,686
18,612
11,973
6717
5251
Domestic aviation
5.0 °C
2421
2978
3274
3398
3186
2.0 °C
2421
2309
2026
1530
1242
1.5 °C
2421
2167
1689
1063
840
Domestic navigation
5.0 °C
461
482
493
514
535
2.0 °C
461
481
489
489
473
1.5 °C
461
479
484
483
473
Total
5.0 °C
30,241
29,779
29,214
28,704
27,664
2.0 °C
30,241
24,707
19,104
10,273
7354
1.5 °C
30,241
22,000
14,875
9036
7370
By 2030, electricity will provide 11% (620 TWh/year) of the transport sector’s total energy demand in the 2.0 °C Scenario, and in 2050, the share will be 44% (930 TWh/year). In 2050, up to 2090 PJ/year of hydrogen will be used in the transport sector as a complementary renewable option. In the 1.5 °C Scenario, the annual electricity demand will be 1030 TWh in 2050. The 1.5 °C Scenario also assumes a hydrogen demand of 2020 PJ/year by 2050.
Biofuel use is limited in the 2.0 °C Scenario to a maximum of 2540 PJ/year Therefore, around 2030, synthetic fuels based on power-to-liquid will be introduced, with a maximum amount of 270 PJ/year in 2050. Because the reduction in fossil fuel for transport will be faster, biofuel use will increase in the 1.5 °C Scenario to a maximum of 5900 PJ/year. The demand for synthetic fuels will decrease to zero by 2050 in the 1.5 °C Scenario because of the lower overall energy demand by transport.

8.5.1.8 OECD North America: Development of CO2 Emissions

In the 5.0 °C Scenario, OECD North America’s annual CO2 emissions will decrease by 9% from 6170 Mt. in 2015 to 5612 Mt. in 2050. Stringent mitigation measures in both the alternative scenarios will lead to reductions in annual emissions to 930 Mt. in 2040 in the 2.0 °C Scenario and to 120 Mt. in the 1.5 °C Scenario, with further reductions to almost zero by 2050. In the 5.0 °C case, the cumulative CO2 emissions from 2015 until 2050 will add up to 216 Gt. In contrast, in the 2.0 °C and 1.5 °C Scenarios, the cumulative emissions for the period from 2015 until 2050 will be 99 Gt and 72 Gt, respectively.
Therefore, the cumulative CO2 emissions will decrease by 54% in the 2.0 °C Scenario and by 67% in the 1.5 °C Scenario compared with the 5.0 °C case. A rapid decrease in the annual emissions will occur under both alternative scenarios. In the 2.0 °C Scenario, the reduction will be greatest in ‘Power generation’, followed by the ‘Transport’ and ‘Residential and other’ sectors (Fig. 8.24).

8.5.1.9 OECD North America: Primary Energy Consumption

Taking into account the assumptions discussed above, the levels of primary energy consumption under the three scenarios are shown in Fig. 8.25. In the 2.0 °C Scenario, the primary energy demand will decrease by 46%, from around 111,600 PJ/year in 2015 to 60,600 PJ/year in 2050. Compared with the 5.0 °C Scenario, the overall primary energy demand will decrease by 50% by 2050 in the 2.0 °C Scenario (5.0 °C: 121,000 PJ in 2050). In the 1.5 °C Scenario, the primary energy demand will be even lower (56,600 PJ in 2050) because the final energy demand and conversion losses will be lower.
Both the 2.0 °C and 1.5 °C Scenarios aim to rapidly phase-out coal and oil. As a result, renewable energy will have a primary energy share of 34% in 2030 and 91% in 2050 in the 2.0 °C Scenario. In the 1.5 °C Scenario, renewables will have a primary share of more than 91% in 2050 (including non-energy consumption, which will still include fossil fuels). Nuclear energy will be phased-out by 2040 under both the 2.0 °C and the 1.5 °C Scenarios. The cumulative primary energy consumption of natural gas in the 5.0 °C case will add up to 1290 EJ, the cumulative coal consumption to about 470 EJ, and the crude oil consumption to 1300 EJ. In contrast, in the 2.0 °C Scenario, the cumulative gas demand will amount to 730 EJ, the cumulative coal demand to 120 EJ, and the cumulative oil demand to 640 EJ. Even lower cumulative fossil fuel use will be achieved in the 1.5 °C Scenario: 480 EJ for natural gas, 80 EJ for coal, and 440 EJ for oil.

8.5.2 Regional Results: Power Sector Analysis

The key results for all 10 world regions and their sub-regions are presented in this section, with standardized tables to make them comparable for the reader. Regional differences and particularities are summarized. It is important to note that the electricity loads for the sub-regions—which are in several cases also countries—are calculated (see Chap. 3) and are not real measured values. When information was available, the model results are compared with published peak loads and adapted as far as possible. However, deviations of 10% or more for the base year are in the range of the probability. The interconnection capacities between sub-regions are simplified assumptions based on current practices in liberalized power markets, and include cross-border trade (e.g., between Canada and the USA) (C2ES 2017) or within the European Union (EU). The EU set a target of 10% interconnection capacity between their member states in 2002 (EU-EG 2017). The interconnection capacities for sub-regions that are not geographically connected are set to zero for the entire modelling period, even when there is current discussion about the implementation of new interconnections, such as for the ASEAN Power Grid (ASEAN-CE 2018).

8.5.3 OECD North America: Power Sector Analysis

The OECD North America region includes Canada, the USA, and Mexico, and therefore contains more than one large electricity market. Although the power sector is liberalized in all three countries, the state of implementation and the market rules in place vary significantly. Even within the USA, each state has different market rules and grid regulations. Therefore, the calculated scenarios assume the priority dispatch of all renewables and priority grid connections for new renewable power plants, and a streamlined process for required construction permits. The power sector analysis for all regions is based on technical, not political, considerations.

8.5.3.1 OECD North America: Development of Power Plant Capacities

The size of the renewable power market in OECD North America will increase significantly in the 2.0 °C Scenario. The annual market for solar PV must increase from 22.76 GW in 2020 by a factor of 5 to an average of 95 GW by 2030. The onshore wind market must expand to 35 GW by 2025, an increase from around 13 GW 5 years earlier. By 2050, offshore wind generation will increase to 9.7 GW annually, by a factor of 7 compared with the base year (2015). Concentrated solar power plants will play an important role in dispatchable solar electricity generation to supply bulk power, especially for industry and industrial process heat. The annual market in 2030 will increase to 16 GW, compared with 1.7 GW in 2020. The 1.5 °C Scenario accelerates both the phase-out of fossil-fuel-based power generation and the deployment of renewables—mainly solar PV and wind in the first decade—about 5–7 years faster than the 2.0 °C Scenario (Table 8.18).
Table 8.18
OECD North America: average annual change in installed power plant capacity
Power generation: average annual change of installed capacity [GW/a]
2015–2025
2026–2035
2036–2050
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Hard coal
−7
−16
−6
−8
−4
0
Lignite
−14
−18
−7
0
0
0
Gas
6
9
12
1
−55
−4
Hydrogen-gas
1
10
4
24
55
39
Oil/diesel
−5
−7
−3
−4
−1
0
Nuclear
−4
−9
−10
−10
0
−1
Biomass
1
2
1
1
1
0
Hydro
−5
−3
0
0
0
2
Wind (onshore)
24
48
36
36
24
19
Wind (offshore)
2
19
11
19
10
3
PV (roof top)
39
94
64
68
61
55
PV (utility scale)
13
31
21
23
20
18
Geothermal
0
0
1
1
2
2
Solar thermal power plants
3
18
15
18
6
4
Ocean energy
1
2
4
4
4
3
Renewable fuel based co-generation
1
2
2
2
2
0

8.5.3.2 OECD North America: Utilization of Power-Generation Capacities

Table 8.19 shows the increasing shares of variable renewable power generation across all North American regions. Whereas Alaska and Canada are dominated by variable wind power generation, Mexico and the sunny mid-west of the USA have significant contributions from CSP. Solar PV is distributed evenly across the entire region. Onshore and offshore wind penetration is highest in rural areas, whereas solar roof-top power generation is highest in suburban regions where roof space and electricity demand from residential buildings correlate best. The south-west of the USA will have the highest share of variable renewables—mainly solar PV for residual homes and office buildings, connected to battery systems. There are no structural differences between the 2.0 °C and 1.5 °C Scenarios, except faster implementation in the latter. It is assumed that all regions will have an interconnection capacity of 20% of the regional average load, with which to exchange renewable and dispatch electricity to neighbouring regions.
Table 8.19
OECD North America and sub-regions: power system shares by technology group
Power generation structure and interconnection
 
2.0 °C
1.5 °C
OECD North America
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
USA Alaska
2015
4%
35%
61%
10%
    
2030
29%
31%
40%
15%
36%
30%
34%
15%
2050
42%
23%
35%
20%
42%
26%
32%
20%
Canada West
2015
6%
35%
59%
10%
    
2030
43%
30%
27%
15%
53%
28%
19%
15%
2050
63%
21%
16%
20%
63%
23%
14%
20%
Canada East
2015
7%
35%
59%
10%
    
2030
45%
30%
25%
15%
56%
27%
16%
15%
2050
66%
21%
13%
20%
66%
23%
11%
20%
USA North East
2015
7%
35%
58%
10%
    
2030
47%
31%
22%
15%
58%
28%
14%
15%
2050
69%
20%
11%
20%
69%
22%
9%
20%
USA North West
2015
4%
35%
61%
10%
    
2030
36%
32%
32%
15%
47%
30%
23%
15%
2050
59%
23%
18%
20%
59%
25%
16%
20%
USA South West
2015
7%
35%
58%
10%
    
2030
53%
28%
19%
15%
64%
25%
11%
15%
2050
73%
17%
10%
20%
73%
18%
8%
20%
USA South East
2015
8%
35%
58%
10%
    
2030
53%
28%
19%
15%
63%
25%
12%
15%
2050
71%
18%
11%
20%
71%
20%
9%
20%
Mexico
2015
5%
35%
61%
10%
    
2030
37%
30%
32%
15%
46%
28%
26%
15%
2050
56%
23%
22%
20%
55%
25%
19%
20%
OECD North America
2015
7%
35%
58%
     
2030
48%
30%
23%
 
59%
27%
15%
 
2050
68%
19%
13%
 
68%
21%
11%
 
Capacity factors for the five generation types and the resulting average utilization are shown in Table 8.20. Compared with the global average, North America will start with a capacity factor for limited dispatchable generation of about 10% over the global average. By 2050, the average capacity factor across all power-generation types will be 29% for both scenarios. A low average capacity factor requires flexible power plants and a power market framework that incentivizes them.
Table 8.20
OECD North America: capacity factors by generation type
Utilization of variable and dispatchable power generation:
 
2015
2020
2020
2030
2030
2040
2040
2050
2050
OECD North America
 
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Capacity Factor – average
[%/yr]
53.1%
35%
33%
29%
28%
34%
28%
29%
29%
Limited dispatchable: fossil and nuclear
[%/yr]
68.6%
40%
10%
28%
2%
20%
6%
10%
10%
Limited dispatchable: renewable
[%/yr]
45.9%
46%
57%
37%
39%
59%
36%
36%
35%
Dispatchable: fossil
[%/yr]
39.7%
23%
21%
11%
5%
30%
8%
12%
11%
Dispatchable: renewable
[%/yr]
44.0%
52%
68%
49%
52%
47%
44%
49%
45%
Variable: renewable
[%/yr]
18.9%
12%
12%
25%
26%
34%
27%
28%
28%

8.5.3.3 OECD North America: Development of Load, Generation, and Residual Load

Table 8.21 shows the development of the maximum load, generation, and resulting residual load (the load remaining after variable renewable generation). With increased shares of variable solar PV and wind power, the minimum residual load can become negative. If this happens, the surplus generation can either be exported to other regions, stored, or curtailed. The export of load to other regions requires transmission lines. If the theoretical utilization rate of transmission cables (= interconnection) exceeds 100%, the transport capacity must be increased. We assume that the entire load need not be exported, and that surplus generation capacities can be curtailed because interconnections are costly and require a certain level of utilization to make them economically viable. An analysis of the economic viability of new interconnections and their optimal transmission capacities is beyond the scope of this research project.
Table 8.21
OECD North America: load, generation, and residual load development
Power generation structure
 
2.0 °C
1.5 °C
OEC D North America
Max demand
Max generation
Max Residual Load
Max interconnection requirements
Max demand
Max generation
Max residual load
Max interconnection requirements
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
NA – USA Alaska
2020
1.4
1.4
0.0
 
1.4
18.8
0.1
 
2030
1.5
1.5
0.1
0
1.6
13.5
0.3
12
2050
2.4
11.8
0.5
9
2.4
11.5
0.5
9
NA – Canada West
2020
21.1
21.1
0.0
 
21.2
34.0
0.3
 
2030
23.0
31.2
5.7
3
24.5
39.8
4.6
11
2050
37.2
73.1
15.2
21
37.3
76.4
15.3
24
NA – Canada East
2020
53.0
53.0
0.0
 
53.1
117.3
0.8
 
2030
58.0
88.0
14.6
15
61.6
117.5
15.3
40
2050
94.3
213.7
41.2
78
94.6
223.0
41.0
87
NA – USA North East
2020
258.6
243.6
29.9
 
259.5
273.2
21.8
 
2030
288.5
355.7
47.7
20
304.2
468.8
63.5
101
2050
433.0
853.7
175.3
246
434.6
891.6
176.7
280
NA – USA North West
2020
25.6
25.6
0.0
 
25.7
81.1
2.2
 
2030
28.5
30.6
5.9
0
30.1
40.8
6.0
5
2050
42.5
74.3
16.0
16
42.7
77.7
16.1
19
NA – USA South West
2020
109.4
109.1
4.6
 
109.8
167.5
9.3
 
2030
121.8
163.0
11.8
29
128.5
208.8
20.0
60
2050
181.8
384.2
38.3
164
182.4
402.3
42.0
178
NA – USA South East
2020
217.7
217.7
0.4
 
217.4
232.1
15.3
 
2030
255.8
372.6
38.0
79
270.9
490.7
64.7
155
2050
393.3
890.9
102.6
395
394.5
927.6
122.3
411
Mexico
2020
66.6
51.3
22.3
     
2030
87.2
116.1
21.3
8
97.6
151.9
19.8
35
2050
171.9
277.1
80.5
25
173.3
289.7
81.9
34
In Alaska in the 2.0 °C Scenario, for example, generation and demand are balanced in 2020 and 2030, but peak generation is substantially higher than demand in 2050. In the 1.5 °C Scenario, a significant level of overproduction is achieved by 2030. In the two scenarios, the surplus peak generation is equally high. These results have been calculated under the assumption that surplus generation will be stored in a cascade of batteries and pumped-storage hydroelectricity (PSH) or used to produce hydrogen and/or synthetic fuels. Therefore, the maximal interconnection requirements shown in this chapter represent the maximum surplus generation capacity. To avoid curtailment, these overcapacities have mainly been used for hydrogen production. Therefore, Alaska could remain an energy exporter but switch from oil to wind-generated synthetic gas and/or hydrogen.
Table 8.22 provides an overview of the calculated storage and dispatch power requirements by sub-region. To store or export the entire electricity output during each production peak would require significant additional investment. Therefore, it is assumed that not all surplus solar and wind generation must be stored, and that up to 5% (in 2030) and 10% (in 2050) of the annual production can be curtailed without significant economic disadvantage. We assume that regions with favourable wind and solar potentials, and advantages regarding available space, will use their overcapacities to export electricity via transmission lines and/or to produce synthetic and/or hydrogen fuels.
Table 8.22
OECD North America: storage and dispatch service requirements
Storage and dispatch
 
2.0 °C
1.5 °C
OECD North America
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total Storage demand (incl. H2)
Dispatch Hydrogen-based
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
USA Alaska
2020
0
0
0
0
0
0
0
0
0
0
2030
11
0
0
0
136
68
1
1
2
136
2050
328
38
1
39
542
407
41
1
42
542
Canada West
2020
0
0
0
0
0
0
0
0
0
0
2030
1011
14
7
21
1957
4078
31
18
49
1957
2050
14,665
1044
34
1078
7776
17,557
1100
38
1137
7776
Canada East
2020
0
0
0
0
0
0
0
0
0
0
2030
3014
38
20
58
4482
13,352
82
53
135
4482
2050
42,780
2545
91
2636
18,129
50,077
2623
97
2720
18,129
USA North East
2020
0
0
0
0
0
0
0
0
0
0
2030
9092
148
73
221
17,290
50,047
404
239
643
17,290
2050
212,448
13,990
509
14,499
60,398
252,243
14,457
546
15,004
60,398
USA North West
2020
0
0
0
0
0
0
0
0
0
0
2030
90
4
1
5
2394
1854
26
13
39
2394
2050
11,806
1013
33
1046
8707
14,933
1085
37
1122
8707
USA South West
2020
0
0
0
0
0
0
0
0
0
0
2030
10,722
121
68
189
6370
47,636
238
172
410
6370
2050
172,771
6661
301
6962
22,741
201,316
6894
316
7210
22,741
USA South East
2020
0
0
0
0
0
0
0
0
0
0
2030
35,827
320
195
516
15,281
115,409
579
402
981
15,281
2050
372,747
15,600
690
16,290
53,958
429,227
15,734
725
16,459
53,958
Mexico
2020
0
0
0
0
0
0
0
0
0
0
2030
2604
37
18
55
7792
10,790
95
52
147
7792
2050
25,855
2706
75
2781
32,716
33,945
2985
86
3071
32,716
OECD North America
2020
0
0
0
0
0
0
0
0
0
0
2030
62,369
682
384
1065
55,702
243,235
1456
949
2405
55,702
2050
853,401
43,597
1735
45,331
204,967
999,704
44,919
1846
46,766
204,967
The southern part of the USA will achieve a significant solar PV share by 2050 and storage demand will be highest in this region. Storage and dispatch demand will increase in all sub-regions between 2025 and 2035. Before 2025, storage demand will be zero in all regions.

8.6 Latin America

8.6.1 Latin America: Long-Term Energy Pathways

8.6.1.1 Latin America: Final Energy Demand by Sector

Combining the assumptions on population growth, GDP growth, and energy intensity will produce the future development pathways for Latin America’s final energy demand shown in Fig. 8.26 for the 5.0 °C, 2.0 °C, and 1.5 °C Scenarios. Under the 5.0 °C Scenario, the total final energy demand will increase by 70% from the current 19,200 PJ/year to 32,600 PJ/year in 2050. In the 2.0 °C Scenario, the final energy demand will decrease by 11% compared with current consumption and will reach 17,000 PJ/year by 2050. The final energy demand in the 1.5 °C Scenario will fall to 15,800 PJ in 2050, 18% below the 2015 demand. In the 1.5 °C Scenario, the final energy demand in 2050 will be 7% lower than in the 2.0 °C Scenario. The electricity demand for ‘classical’ electrical devices (without power-to-heat or e-mobility) will increase from 740 TWh/year in 2015 to around 1560 TWh/year in 2050 in both alternative scenarios, around 300 TWh/year lower than in the 5.0 °C Scenario (1860 TWh/year in 2050).
Electrification will lead to a significant increase in the electricity demand by 2050. In the 2.0 °C Scenario, the electricity demand for heating will be about 600 TWh/year due to electric heaters and heat pumps, and in the transport sector an increase of approximately 1700 TWh/year will be caused by electric mobility. The generation of hydrogen (for transport and high-temperature process heat) and the manufacture of synthetic fuels (mainly for transport) will add an additional power demand of 600 TWh/year. The gross power demand will thus increase from 1300 TWh/year in 2015 to 3500 TWh/year in 2050 in the 2.0 °C Scenario, 25% higher than in the 5.0 °C case. In the 1.5 °C Scenario, the gross electricity demand will increase to a maximum of 3800 TWh/year in 2050.
Efficiency gains in the heating sector could be even larger than in the electricity sector. Under the 2.0 °C and 1.5 °C Scenarios, a final energy consumption equivalent to about 4300 PJ/year will be avoided through efficiency gains in both scenarios by 2050 compared with the 5.0 °C Scenario.

8.6.1.2 Latin America: Electricity Generation

The development of the power system is characterized by a dynamically growing renewable energy market and an increasing proportion of total power coming from renewable sources. By 2050, 100% of the electricity produced in Latin America will come from renewable energy sources in the 2.0 °C Scenario. ‘New’ renewables—mainly wind, solar, and geothermal energy—will contribute 63% of the total electricity generation. Renewable electricity’s share of the total production will be 87% by 2030 and 96% by 2040. The installed capacity of renewables will reach about 530 GW by 2030 and 1030 GW by 2050. The share of renewable electricity generation in 2030 in the 1.5 °C Scenario will be 91%. In the 1.5 °C Scenario, the generation capacity from renewable energy will be approximately 1210 GW in 2050.
Table 8.23 shows the development of different renewable technologies in Latin America over time. Figure 8.27 provides an overview of the overall power-generation structure in Latin America. From 2020 onwards, the continuing growth of wind and PV, up to 230 GW and 410 GW, respectively, will be complemented by up to 60 GW solar thermal generation, as well as limited biomass, geothermal, and ocean energy, in the 2.0 °C Scenario. Both the 2.0 °C and 1.5 °C Scenarios will lead to a high proportion of variable power generation (PV, wind, and ocean) of 31% and 39%, respectively, by 2030, and 52% and 57%, respectively, by 2050.
Table 8.23
Latin America: development of renewable electricity-generation capacity in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Hydro
5.0 °C
161
200
222
269
302
2.0 °C
161
180
180
183
184
1.5 °C
161
180
180
183
184
Biomass
5.0 °C
18
23
25
29
34
2.0 °C
18
43
57
75
89
1.5 °C
18
43
61
75
81
Wind
5.0 °C
11
31
38
50
66
2.0 °C
11
56
95
199
234
1.5 °C
11
67
134
272
285
Geothermal
5.0 °C
1
1
2
3
4
2.0 °C
1
3
5
12
18
1.5 °C
1
3
5
12
15
PV
5.0 °C
2
14
19
29
42
2.0 °C
2
108
175
295
409
1.5 °C
2
133
237
529
537
CSP
5.0 °C
0
1
1
2
3
2.0 °C
0
4
20
51
63
1.5 °C
0
4
20
76
78
Ocean
5.0 °C
0
0
0
0
4
2.0 °C
0
1
2
20
37
1.5 °C
0
1
2
20
30
Total
5.0 °C
193
270
306
382
456
2.0 °C
193
395
534
834
1034
1.5 °C
193
432
640
1167
1209

8.6.1.3 Latin America: Future Costs of Electricity Generation

Figure 8.28 shows the development of the electricity-generation and supply costs over time, including CO2 emission costs, under all scenarios. The calculated electricity-generation costs in 2015 (referring to full costs) were around 4.5 ct/kWh. In the 5.0 °C case, the generation costs will increase until 2050, when they reach 8.3 ct/kWh. The generation costs in the 2.0 °C Scenario will increase until 2030, when they reach 7 ct/kWh, and will then drop to 5.9 ct/kWh by 2050. In the 1.5 °C Scenario, they will increase to 6.7 ct/kWh, and then drop to 5.6 ct/kWh by 2050. In the 2.0 °C Scenario, the generation costs in 2050 will be 2.4 ct/kWh lower than in the 5.0 °C case. In the 1.5 °C Scenario, the maximum difference in generation costs will be 2.6 ct/kWh in 2050. Note that these estimates of generation costs do not take into account integration costs such as power grid expansion, storage, or other load-balancing measures.
In the 5.0 °C case, the growth in demand and increasing fossil fuel prices will result in an increase in total electricity supply costs from today’s $70 billion/year to more than $240 billion/year in 2050. In the 2.0 °C Scenario, the total supply costs will be $230 billion/year and in the 1.5 °C Scenario, they will be $240 billion/year in 2050. The long-term costs for electricity supply will be more than 5% lower in the 2.0 °C Scenario than in the 5.0 °C Scenario as a result of the estimated generation costs and the electrification of heating and mobility. Further electrification and synthetic fuel generation in the 1.5 °C Scenario will result in total power generation costs that are similar to the 5.0 °C case.
Compared with these results, the generation costs when the CO2 emission costs are not considered will increase in the 5.0 °C case to 7.1 ct/kWh. In the 2.0 °C Scenario, they will increase until 2030, when they will reach 6.6 ct/kWh, and then drop to 5.9 ct/kWh by 2050. In the 1.5 °C Scenario, they will increase to 6.5 ct/kWh and then drop to 5.6 ct/kWh by 2050. In the 2.0 °C Scenario, the generation costs will be maximum, at 0.25 ct/kWh higher than in the 5.0 °C case, in 2030 (0.1 ct/kWh in the 1.5 °C Scenario). The generation costs in 2050 will again be lower in the alternative scenarios than in the 5.0 °C case: 1.2 ct/kWh in the 2.0 °C Scenario and 1.5 ct/kWh in the 1.5 °C Scenario. If CO2 costs are not considered, the total electricity supply costs in the 5.0 °C case will increase to about $210 billion/year in 2050.

8.6.1.4 Latin America: Future Investments in the Power Sector

An investment of about $1920 billion will be required for power generation between 2015 and 2050 in the 2.0 °C Scenario, including additional power plants for the production of hydrogen and synthetic fuels and investments in plant replacement after the ends of their economic lives. This value is equivalent to approximately $53 billion per year, on average, which is $880 billion more than in the 5.0 °C case ($1040 billion). An investment of around $2190 billion for power generation will be required between 2015 and 2050 in the 1.5 °C Scenario. On average, this will be an investment of $61 billion per year. Under the 5.0 °C Scenario, the investment in conventional power plants will be around 25% of the total cumulative investments, whereas approximately 75% will be invested in renewable power generation and co-generation (Fig. 8.29).
However, under the 2.0 °C (1.5 °C) Scenario, Latin America will shift almost 94% (95%) of its entire investment to renewables and co-generation. By 2030, the fossil fuel share of the power sector investment will predominantly focus on gas power plants that can also be operated with hydrogen.
Because renewable energy has no fuel costs, other than biomass, the cumulative fuel cost savings in the 2.0 °C Scenario will reach a total of $820 billion in 2050, equivalent to $23 billion per year. Therefore, the total fuel cost savings will be equivalent to 90% of the total additional investments compared to the 5.0 °C Scenario. The fuel cost savings in the 1.5 °C Scenario will add up to $900 billion, or $25 billion per year.

8.6.1.5 Latin America: Energy Supply for Heating

The final energy demand for heating will increase in the 5.0 °C Scenario by 72%, from 7800 PJ/year in 2015 to 13,300 PJ/year in 2050. In the 2.0 °C and 1.5 °C Scenarios, energy efficiency measures will help to reduce the energy demand for heating by 32% in 2050, relative to that in the 5.0 °C Scenario. Today, renewables supply around 42% of Latin America’s final energy demand for heating, with the main contribution from biomass. Renewable energy will provide 68% of Latin America’s total heat demand in 2030 in the 2.0 °C Scenario and 75% in the 1.5 °C Scenario. In both scenarios, renewables will provide 100% of the total heat demand in 2050.
Figure 8.30 shows the development of different technologies for heating in Latin America over time, and Table 8.24 provides the resulting renewable heat supply for all scenarios. Biomass will remain the main contributor. The growing use of solar, geothermal, and environmental heat will supplement mainly fossil fuels. This will lead in the long term to a biomass share of 65% under the 2.0 °C Scenario and 50% under the 1.5 °C Scenario.
Table 8.24
Latin America: development of renewable heat supply in the scenarios (excluding the direct use of electricity)
in PJ/year
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
2684
2760
2888
3335
3622
2.0 °C
2684
3550
3895
4412
4654
1.5 °C
2684
3632
4007
4023
2767
Solar heating
5.0 °C
32
64
88
146
227
2.0 °C
32
394
712
1217
1418
1.5 °C
32
394
783
1265
1445
Geothermal heat and heat pumps
5.0 °C
0
0
0
0
0
2.0 °C
0
133
206
458
910
1.5 °C
0
133
204
452
930
Hydrogen
5.0 °C
0
0
0
0
0
2.0 °C
0
0
4
169
220
1.5 °C
0
0
88
473
404
Total
5.0 °C
2715
2824
2976
3480
3849
2.0 °C
2715
4077
4817
6255
7202
1.5 °C
2715
4159
5082
6213
5546
Heat from renewable hydrogen will further reduce the dependence on fossil fuels in both scenarios. Hydrogen consumption in 2050 will be around 200 PJ/year in the 2.0 °C Scenario and 400 PJ/year in the 1.5 °C Scenario. The direct use of electricity for heating will also increase by a factor of 2–4 between 2015 and 2050 and will attain a final energy share of 20% in 2050 in the 2.0 °C Scenario and 39% in the 1.5 °C Scenario.

8.6.1.6 Latin America: Future Investments in the Heating Sector

The roughly estimated investments in renewable heating technologies up to 2050 will amount to around $580 billion in the 2.0 °C Scenario (including investments in plant replacement after their economic lifetimes), or approximately $16 billion per year. The largest share of investment in Latin America is assumed to be for solar collectors (more than $200 billion), followed by biomass technologies and heat pumps. The 1.5 °C Scenario assumes an even faster expansion of renewable technologies, but due to the lower heat demand, the average annual investment will again be around $16 billion per year (Fig. 8.31, Table 8.25).
Table 8.25
Latin America: installed capacities for renewable heat generation in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
549
531
536
552
542
2.0 °C
549
730
742
657
603
1.5 °C
549
770
752
513
179
Geothermal
5.0 °C
0
0
0
0
0
2.0 °C
0
2
4
12
16
1.5 °C
0
2
4
12
17
Solar heating
5.0 °C
7
15
20
34
52
2.0 °C
7
91
164
281
327
1.5 °C
7
91
181
292
333
Heat pumps
5.0 °C
0
0
0
0
0
2.0 °C
0
13
18
36
88
1.5 °C
0
13
18
36
89
Totala
5.0 °C
556
546
556
585
594
2.0 °C
556
835
929
986
1034
1.5 °C
556
876
955
853
619
a Excluding direct electric heating

8.6.1.7 Latin America: Transport

Energy demand in the transport sector in Latin America is expected to increase by 63% under the 5.0 °C Scenario, from around 7100 PJ/year in 2015 to 11,700 PJ/year in 2050. In the 2.0 °C Scenario, assumed technical, structural, and behavioural changes will save 69% (8090 PJ/year) by 2050 relative to the 5.0 °C Scenario. Additional modal shifts, technology switches, and a reduction in transport demand will lead to even greater energy savings in the 1.5 °C Scenario of 77% (or 9040 PJ/year) in 2050 compared with the 5.0 °C case (Table 8.26, Fig. 8.32).
Table 8.26
Latin America: projection of transport energy demand by mode in the scenarios
in PJ/year
Case
2015
2025
2030
2040
2050
Rail
5.0 °C
90
110
122
145
163
2.0 °C
90
113
133
157
192
1.5 °C
90
130
145
163
224
Road
5.0 °C
6662
7486
8102
9754
10,610
2.0 °C
6662
6424
5799
4107
3112
1.5 °C
6662
5196
3971
2744
2161
Domestic aviation
5.0 °C
211
348
453
593
638
2.0 °C
211
228
213
175
139
1.5 °C
211
218
196
137
104
Domestic navigation
5.0 °C
101
104
107
113
117
2.0 °C
101
104
107
113
117
1.5 °C
101
104
107
113
117
Total
5.0 °C
7064
8047
8783
10,605
11,529
2.0 °C
7064
6868
6251
4551
3559
1.5 °C
7064
5648
4419
3157
2605
By 2030, electricity will provide 6% (110 TWh/year) of the transport sector’s total energy demand under the 2.0 °C Scenario, whereas in 2050, the share will be 47% (470 TWh/year). In 2050, up to 480 PJ/year of hydrogen will be used in the transport sector as a complementary renewable option. In the 1.5 °C Scenario, the annual electricity demand will be 390 TWh in 2050. The 1.5 °C Scenario also assumes a hydrogen demand of 430 PJ/year by 2050.
Biofuel use is limited in the 2.0 °C Scenario to a maximum of 1340 PJ/year Around 2030, synthetic fuels based on power-to-liquid will be introduced, with a maximum of 190 PJ/year by 2050. Due to the lower overall energy demand in transport, biofuel use will be reduced in the 1.5 °C Scenario to a maximum of 1030 PJ/year The maximum synthetic fuel demand will amount to 350 PJ/year.

8.6.1.8 Latin America: Development of CO2 Emissions

In the 5.0 °C Scenario, Latin America’s annual CO2 emissions will increase by 48%, from 1220 Mt. in 2015 to 1806 Mt. in 2050. The stringent mitigation measures in both alternative scenarios will cause the annual emissions to fall to 240 Mt. in 2040 in the 2.0 °C Scenario and to 50 Mt. in the 1.5 °C Scenario, with further reductions to almost zero by 2050. In the 5.0 °C case, the cumulative CO2 emissions from 2015 until 2050 will add up to 56 Gt. In contrast, in the 2.0 °C and 1.5 °C Scenarios, the cumulative emissions for the period from 2015 until 2050 will be 21 Gt and 17 Gt, respectively.
Therefore, the cumulative CO2 emissions will decrease by 63% in the 2.0 °C Scenario and by 70% in the 1.5 °C Scenario compared with the 5.0 °C case. A rapid reduction in annual emissions will occur in both alternative scenarios. In the 2.0 °C Scenario, the reduction will be greatest in ‘Power generation’, followed by the ‘Residential and other’ and ‘Industry’ sectors (Fig. 8.33).

8.6.1.9 Latin America: Primary Energy Consumption

The levels of primary energy consumption under the three scenarios when the assumptions discussed above are taken into account are shown in Fig. 8.34. In the 2.0 °C Scenario, the primary energy demand will decrease by 2%, from around 28,400 PJ/year in 2015 to 27,900 PJ/year in 2050. Compared with the 5.0 °C Scenario, the overall primary energy demand will decrease by 38% in 2050 in the 2.0 °C Scenario (5.0 °C: 45000 PJ in 2050). In the 1.5 °C Scenario, the primary energy demand will be even lower (25,700 PJ in 2050) because the final energy demand and conversion losses will be lower.
Both the 2.0 °C and 1.5 °C Scenarios aim to rapidly phase-out coal and oil. This will cause renewable energy to have a primary energy share of 55% in 2030 and 94% in 2050 in the 2.0 °C Scenario. In the 1.5 °C Scenario, renewables will also have a primary energy share of more than 94% in 2050 (including non-energy consumption, which will still include fossil fuels). Nuclear energy will be phased-out by 2035 under both the 2.0 °C and the 1.5 °C Scenarios. The cumulative primary energy consumption of natural gas in the 5.0 °C case will add up to 290 EJ, the cumulative coal consumption to about 60 EJ, and the crude oil consumption to 460 EJ. In contrast, in the 2.0 °C Scenario, the cumulative gas demand will amount to 130 EJ, the cumulative coal demand to 20 EJ, and the cumulative oil demand to 200 EJ. Even lower fossil fuel use will be achieved in the 1.5 °C Scenario: 110 EJ for natural gas, 10 EJ for coal, and 150 EJ for oil.

8.6.2 Latin America: Power Sector Analysis

The Latin American region is extremely diverse. It borders Mexico in the north and its southern tip is in the South Pacific. It also includes all the Caribbean islands and Central America. The power-generation situation is equally diverse, and the sub-regional breakdown tries to reflect this diversity to some extent. In the Caribbean, which contains 28 island nations and more than 7000 islands, the calculated storage demand will almost certainly be higher than the region’s average, because a regional power exchange grid between the islands seems impractical. To calculate the detailed storage demand, island-specific analyses would be required, as has recently been done for Barbados (Hohmeyer 2015). The mainland of South America has been subdivided into the large economic centres of Chile, Argentina, and Brazil, and Central America and the northern part of South America have been clustered into two parts.

8.6.2.1 Latin America: Development of Power Plant Capacities

The most important future renewable technologies for Latin America are solar PV and onshore wind, followed by CSP (which will be especially suited to the Atacama Desert in Chile) and offshore wind, mainly in the coastal areas of Brazil and Argentina. The annual market for solar PV must increase from 6.5 GW in 2020 by a factor of three to an average of 15.5 GW by 2030 under the 2.0 °C Scenario and to around 23 GW under the 1.5 °C Scenario. The onshore wind market in the 1.5 °C Scenario must increase to 15 GW by 2025, compared with the average annual onshore wind market of around 3 GW between 2014 and 2017 (GWEC 2018). By 2050, offshore wind will have increased to a moderate annual new installation capacity of around 2–3 GW from 2025 to 2050 in both scenarios. Concentrated solar power plants will be limited to the desert regions of South America, especially Chile. The market for biofuels for electricity generation will play an important role in all agricultural areas, including the Caribbean and Central America, where most geothermal resources are located (Table 8.27).
Table 8.27
Latin America: average annual change in installed power plant capacity
Latin Power Generation: average annual change of installed capacity [GW/a]
2015–2025
2026–2035
2036–2050
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Hard coal
0
−1
0
−1
−1
0
Lignite
0
0
0
0
0
0
Gas
4
2
1
6
−9
5
Hydrogen-gas
0
1
1
4
11
14
Oil/diesel
−1
−4
−4
−3
0
0
Nuclear
0
0
0
0
0
0
Biomass
3
5
3
4
4
3
Hydro
2
0
0
0
0
0
Wind (onshore)
5
11
11
17
6
3
Wind (offshore)
0
1
2
2
3
2
PV (roof top)
9
18
14
25
9
8
PV (utility scale)
3
6
5
8
3
3
Geothermal
0
1
1
1
1
1
Solar thermal power plants
0
2
4
5
2
3
Ocean energy
0
0
1
1
2
2
Renewable fuel based co-generation
1
2
2
2
2
1

8.6.2.2 Latin America: Utilization of Power-Generation Capacities

Table 8.28 shows that our modelling assumes that for the entire modelling period, there will be no interconnection capacity between the Caribbean, Central America, and South America, whereas the interconnection capacity in the rest of South America will increase to 15% by 2030 and to 20% by 2050. The shares of variable renewables are almost identical in the 2.0 °C and 1.5 °C Scenarios. The lowest rates of variable renewables are in central South America and Central America because the onshore wind potential is limited by average wind speeds that are lower than elsewhere. Compared with all the other world regions, Latin America has the highest share of dispatchable renewables, mainly attributable to existing hydropower plants.
Table 8.28
Latin America: power system shares by technology group
Power generation structure and interconnection
 
2.0 °C
1.5 °C
Latin America
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
Caribbean
2015
3%
63%
34%
0%
    
2030
25%
62%
12%
0%
25%
62%
12%
0%
2050
44%
53%
3%
0%
44%
53%
3%
0%
Central America
2015
2%
64%
35%
0%
    
2030
21%
64%
14%
0%
21%
64%
14%
0%
2050
40%
58%
2%
0%
40%
58%
2%
0%
North L. America
2015
2%
64%
34%
10%
    
2030
20%
41%
39%
15%
20%
41%
39%
15%
2050
30%
40%
30%
20%
30%
40%
30%
20%
Central L. America
2015
1%
64%
36%
10%
    
2030
16%
52%
32%
15%
16%
52%
32%
15%
2050
29%
49%
22%
20%
29%
49%
22%
20%
Brazil
2015
4%
63%
33%
10%
    
2030
30%
54%
16%
15%
30%
54%
16%
15%
2050
47%
44%
8%
20%
47%
44%
8%
20%
Uruguay
2015
2%
61%
37%
10%
    
2030
21%
57%
22%
15%
21%
57%
22%
15%
2050
37%
52%
11%
20%
37%
52%
11%
20%
Argentina
2015
2%
62%
36%
10%
    
2030
19%
42%
38%
15%
19%
42%
38%
15%
2050
31%
40%
29%
20%
31%
40%
29%
20%
Chile
2015
2%
64%
35%
10%
    
2030
18%
45%
37%
15%
18%
45%
37%
15%
2050
33%
47%
19%
20%
33%
47%
19%
20%
Latin America
2015
3%
63%
34%
     
2030
24%
51%
25%
 
24%
51%
25%
 
2050
39%
45%
16%
 
39%
45%
16%
 
Compared with other regions of the world, Latin America currently has a small fleet of coal and nuclear power plants, but they are operated with a high capacity factor (Table 8.29). The dispatch order for all world regions in all cases is assumed to be the same, to make the results comparable. Therefore, the capacity factors of these dispatch power plants (mainly gas) will increase at the expense of those for coal and nuclear power plants, which explains the rapid reduction in the capacity factor in 2020. Therefore, this effect is the result of the assumed dispatch order, rather than of an increase in variable power generation.
Table 8.29
Latin America: capacity factors by generation type
Utilization of variable and dispatchable power generation:
 
2015
2020
2020
2030
2030
2040
2040
2050
2050
Latin America
 
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Capacity factor – average
[%/yr]
48.9%
31%
25%
36%
21%
41%
18%
34%
24%
Limited dispatchable: fossil and nuclear
[%/yr]
73.4%
14%
3%
17%
0%
45%
0%
13%
4%
Limited dispatchable: renewable
[%/yr]
26.0%
53%
48%
46%
19%
56%
23%
47%
33%
Dispatchable: fossil
[%/yr]
53.2%
24%
11%
31%
2%
37%
6%
31%
11%
Dispatchable: renewable
[%/yr]
45.6%
37%
28%
46%
26%
43%
25%
46%
35%
Variable: renewable
[%/yr]
12.2%
12%
12%
21%
14%
31%
15%
22%
15%

8.6.2.3 Latin America: Development of Load, Generation and Residual Load

The sub-regions of Latin America are highly diverse in their geographic features and population densities, so the maximum loads in the different sub-regions vary widely. Table 8.30 shows that the sub-region with the smallest calculated maximum load is Uruguay, with only 2.3 GW, which seems realistic because the maximum load was 1.7 GW in 2012 according to IDB (2013). Brazil, Uruguay’s direct neighbour, has the largest load of close to 100 GW, which will increase by a factor of 2.5 to around 250 GW by 2050 under both scenarios. Brazil’s maximum generation will increase accordingly, without significant overproduction peaks. The calculated maximum increase in interconnection required is only 10 GW. In Argentina, peak generation matches peak demand because Argentina has one of the best wind resources in the world in Patagonia. Surplus wind power can either be exported after a significant increase in transmission capacity or, as assumed in our scenario, it can be used to produce synthetic and hydrogen fuels.
Table 8.30
Latin America: load, generation, and residual load development
Power generation structure
 
2.0 °C
1.5 °C
Latin America
Max demand
Max generation
Max residual load
Max interconnection requirements
Max demand
Max generation
Max residual load
Max interconnection requirements
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
Caribbean
2020
14.9
4.9
10.4
 
14.8
7.4
8.1
 
2030
23.4
23.1
8.9
0
21.0
27.5
1.5
5
2050
36.6
38.6
14.8
0
36.9
48.4
6.9
5
Central America
2020
13.1
13.0
3.3
 
13.1
20.0
0.5
 
2030
20.7
23.6
7.8
0
18.8
31.8
1.4
12
2050
33.3
42.6
14.3
0
33.2
47.3
7.2
7
North Latin America
2020
37.5
41.5
1.4
 
37.4
67.9
1.4
 
2030
59.1
76.7
7.1
11
53.1
80.9
5.0
23
2050
92.9
117.2
15.8
9
94.7
108.3
24.9
0
Central South America
2020
16.8
9.9
6.9
 
16.8
14.7
2.1
 
2030
26.2
29.4
5.7
0
24.1
39.9
2.3
14
2050
42.0
46.3
11.3
0
42.9
59.5
11.5
5
Brazil
2020
99.0
96.4
5.7
 
98.9
102.3
4.7
 
2030
153.8
150.1
38.4
0
140.7
145.2
9.9
0
2050
241.0
247.5
74.1
0
250.7
306.1
45.5
10
Uruguay
2020
2.3
2.9
0.4
 
2.3
4.4
0.1
 
2030
3.4
4.0
1.1
0
3.1
5.3
0.2
2
2050
4.9
6.6
1.7
0
5.1
7.8
1.0
2
Argentina
2020
25.5
26.2
1.0
 
25.5
35.7
1.0
 
2030
40.1
176.4
3.1
133
36.6
176.4
3.6
136
2050
56.4
71.8
14.0
2
59.4
82.7
18.2
5
Chile
2020
9.3
19.2
0.4
     
2030
16.5
21.0
1.7
3
15.0
23.5
1.4
7
2050
26.1
30.7
7.7
0
27.7
35.5
7.2
1
Table 8.31 provides an overview of the calculated storage and dispatch power requirements by sub-region. As indicated in the introduction to the Latin America results, the storage requirements for the Caribbean might be high because the region cannot exchange solar or wind electricity with other sub-regions. However, all other sub-regions contain either several countries or larger provinces, so they are more suited to the integration of variable electricity. Compared with other world regions, Latin America has one of the lowest storage capacities and one of the lowest needs for additional dispatch. This is because the region’s installed capacity of hydropower is high. However, this research does not include a water resource assessment for hydropower plants. Droughts may increase the demand for storage and/or hydrogen dispatch.
Table 8.31
Latin America: storage and dispatch service requirements in the 2.0 °C and 1.5 °C Scenarios
Storage and dispatch
 
2.0 °C
1.5 °C
Latin America
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
Caribbean
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
6
81
6
11
17
0
2050
100
46
3
49
15,282
1816
534
59
594
1808
Central America
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
5
57
5
8
13
0
2050
34
47
2
49
15,010
1462
560
59
619
5843
North Latin America
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
0
3
1
1
1
0
2050
0
0
0
0
7086
1047
633
57
690
0
Central L. America
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
3
82
9
14
23
0
2050
36
41
1
42
16,031
2768
1032
104
1136
40
Brazil
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
19
774
83
138
221
0
2050
475
666
27
693
63,131
18,024
6977
769
7746
1103
Uruguay
2020
77
0
0
0
0
511
0
0
0
0
2030
0
0
0
0
0
20
1
2
3
0
2050
42
20
2
22
1591
279
78
9
86
65
Argentina
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
0
177
14
23
37
0
2050
617
446
32
478
315
4969
1727
180
1908
0
Chile
2020
2
0
0
0
0
2669
1
0
1
0
2030
0
0
0
0
1
13
1
2
3
0
2050
10
14
1
15
8781
162
91
7
97
58
Latin America
2020
79
0
0
0
0
3180
2
0
2
0
2030
0
0
0
0
34
1207
121
197
318
1
2050
1314
1279
68
1347
127,226
30,526
11,633
1243
12,875
8917

8.7 OECD Europe

8.7.1 OECD Europe: Long-Term Energy Pathways

8.7.1.1 OECD Europe: Final Energy Demand by Sector

Combining the assumptions on population growth, GDP growth, and energy intensity produces the future development pathways for OECD Europe’s final energy demand shown in Fig. 8.35 for the 5.0 °C, 2.0 °C, and 1.5 °C Scenarios. In the 5.0 °C Scenario, the total final energy demand will increase by 9%, from the current 46,000 PJ/year to 50,000 PJ/year in 2050. In the 2.0 °C Scenario, the final energy demand will decrease by 39% compared with current consumption and will reach 28,000 PJ/year by 2050. The final energy demand in the 1.5 °C Scenario will reach 25,200 PJ, 45% below the 2015 demand. In the 1.5 °C Scenario, the final energy demand in 2050 will be 10% lower than in the 2.0 °C Scenario. The electricity demand for ‘classical’ electrical devices (without power-to-heat or e-mobility) will decrease from 2300 TWh/year in 2015 to 2040 TWh/year by 2050 in both alternative scenarios. Compared with the 5.0 °C case (3200 TWh/year in 2050), the efficiency measures implemented in the 2.0 °C and 1.5 °C Scenarios will save 1160 TWh/year in 2050.
Electrification will cause a significant increase in the electricity demand by 2050. In the 2.0 °C Scenario, the electricity demand for heating will increase to approximately 1300 TWh/year due to electric heaters and heat pumps, and in the transport sector, the demand will increase to approximately 2600 TWh/year in response to increased electric mobility. The generation of hydrogen (for transport and high-temperature process heat) and the manufacture of synthetic fuels (mainly for transport) will add an additional power demand of 1600 TWh/year The gross power demand will thus rise from 3600 TWh/year in 2015 to 6000 TWh/year by 2050 in the 2.0 °C Scenario, 28% higher than in the 5.0 °C case. In the 1.5 °C Scenario, the gross electricity demand will increase to a maximum of 6400 TWh/year by 2050.
Efficiency gains could be even larger in the heating sector than in the electricity sector. Under the 2.0 °C and 1.5 °C Scenarios, a final energy consumption equivalent to about 6200 PJ/year and 8200 PJ/year, respectively, are avoided by efficiency gains by 2050 compared with the 5.0 °C Scenario.

8.7.1.2 OECD Europe: Electricity Generation

The development of the power system is characterized by a dynamically growing renewable energy market and an increasing proportion of total power from renewable sources. By 2050, 100% of the electricity produced in OECD Europe will come from renewable energy sources in the 2.0 °C Scenario. ‘New’ renewables—mainly wind, solar, and geothermal energy—will contribute 75% of the total electricity generation. Renewable electricity’s share of the total production will be 68% by 2030 and 89% by 2040. The installed capacity of renewables will reach about 1200 GW by 2030 and 2270 GW by 2050. The share of renewable electricity generation in 2030 in the 1.5 °C Scenario is assumed to be 74%. The 1.5 °C Scenario will have a generation capacity from renewable energy of approximately 2480 GW in 2050.
Table 8.32 shows the development of different renewable technologies in OECD Europe over time. Figure 8.36 provides an overview of the overall power-generation structure in OECD Europe. From 2020 onwards, the continuing growth of wind and PV, up to 790 GW and 1000 GW, respectively, will be complemented by generation from biomass (ca. 110 GW) CSP and ocean energy (more than 50 GW each), in the 2.0 °C Scenario. Both the 2.0 °C and 1.5 °C Scenarios will lead to high proportions of variable power generation (PV, wind, and ocean) of 38% and 45%, respectively, by 2030 and 67% and 68%, respectively, by 2050.
Table 8.32
OECD Europe: development of renewable electricity-generation capacity in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Hydro
5.0 °C
207
224
231
238
248
2.0 °C
207
218
219
221
225
1.5 °C
207
218
219
221
225
Biomass
5.0 °C
40
51
56
60
65
2.0 °C
40
78
105
115
113
1.5 °C
40
84
111
113
113
Wind
5.0 °C
138
216
254
296
347
2.0 °C
138
279
409
655
787
1.5 °C
138
299
468
778
847
Geothermal
5.0 °C
2
3
3
3
4
2.0 °C
2
6
11
27
39
1.5 °C
2
6
11
27
39
PV
5.0 °C
95
137
157
172
191
2.0 °C
95
264
422
745
996
1.5 °C
95
364
598
1028
1151
CSP
5.0 °C
2
3
4
7
11
2.0 °C
2
7
17
38
54
1.5 °C
2
7
22
48
57
Ocean
5.0 °C
0
1
1
4
8
2.0 °C
0
7
16
42
53
1.5 °C
0
7
16
42
53
Total
5.0 °C
484
635
706
780
873
2.0 °C
484
859
1198
1842
2267
1.5 °C
484
985
1444
2256
2485

8.7.1.3 OECD Europe: Future Costs of Electricity Generation

Figure 8.37 shows the development of the electricity-generation and supply costs over time, including the CO2 emission costs, in all scenarios. The calculated electricity generation costs in 2015 (referring to full costs) were around 7 ct/kWh. In the 5.0 °C case, generation costs will increase until 2050, when they will reach 10.4 ct/kWh. The generation costs in both alternative scenarios will increase until 2030, when they will reach 10.3 ct/kWh, and they will drop by 2050 to 8.9 ct/kWh and 8.8 ct/kWh, respectively, 1.5–1.6 ct/kWh lower than in the 5.0 °C case. Note that these estimates of generation costs do not take into account integration costs such as power grid expansion, storage, or other load-balancing measures.
In the 5.0 °C case, the growth in demand and increasing fossil fuel prices will result in an increase in total electricity supply costs from today’s $270 billion/year to more than $550 billion/year in 2050. In the 2.0 °C Scenario, the total supply costs will be $560 billion/year and in the 1.5 °C Scenario, they will be $590 billion/year The long-term costs for electricity supply will be more than 2% higher in the 2.0 °C Scenario than in the 5.0 °C Scenario as a result of the estimated generation costs and the electrification of heating and mobility. Further electrification and synthetic fuel generation in the 1.5 °C Scenario will result in total power generation costs that are 8% higher than in the 5.0 °C case.
Compared with these results, the generation costs when the CO2 emission costs are not considered will increase in the 5.0 °C Scenario to 8.8 ct/kWh by 2050. In the 2.0 °C Scenario, they will increase until 2030 when they reach 9.5 ct/kWh, and then drop to 8.9 ct/kWh by 2050. In the 1.5 °C Scenario, they will increase to 9.7 ct/kWh, and then drop to 8.8 ct/kWh by 2050. In the 2.0 °C Scenario, the generation costs will reach a maximum of 1 ct/kWh higher than in the 5.0 °C case in 2030. In the 1.5 °C Scenario, the maximum difference in generation costs compared with the 5.0 °C Scenario will be 1.2 ct/kWh, which will occur in 2040. If the CO2 costs are not considered, the total electricity supply costs in the 5.0 °C case will rise to about $470 billion/year in 2050.

8.7.1.4 OECD Europe: Future Investments in the Power Sector

An investment of around $4900 billion will be required for power generation between 2015 and 2050 in the 2.0 °C Scenario—including additional power plants for the production of hydrogen and synthetic fuels and investments to replace plants at the ends of their economic lives. This value is equivalent to approximately $136 billion per year on average, which is $2150 billion more than in the 5.0 °C case ($2750 billion). An investment of around $5340 billion for power generation will be required between 2015 and 2050 under the 1.5 °C Scenario. On average, this will be an investment of $148 billion per year. In the 5.0 °C Scenario, investment in conventional power plants will be around 26% of the total cumulative investments, whereas approximately 74% will be invested in renewable power generation and co-generation (Fig. 8.38).
However, in the 2.0 °C (1.5 °C) Scenario, OECD Europe will shift almost 96% (97%) of its entire investments to renewables and co-generation. By 2030, the fossil fuel share of the power sector investments will predominantly focus on gas power plants that can also be operated with hydrogen.
Because renewable energy has no fuel costs, other than biomass, the cumulative fuel cost savings in the 2.0 °C Scenario will reach a total of $2340 billion in 2050, equivalent to $65 billion per year. Therefore, the total fuel cost savings will be equivalent to 110% of the total additional investments compared to the 5.0 °C Scenario. The fuel cost savings in the 1.5 °C Scenario will add up to $2600 billion, or $72 billion per year.

8.7.1.5 OECD Europe: Energy Supply for Heating

The final energy demand for heating will increase in the 5.0 °C Scenario by 16%, from 20,600 PJ/year in 2015 to 24,000 PJ/year in 2050. Energy efficiency measures will help to reduce the energy demand for heating by 26% in 2050 in the 2.0 °C Scenario relative to that in the 5.0 °C case, and by 34% in the 1.5 °C Scenario. Today, renewables supply around 19% of OECD Europe’s final energy demand for heating, with the main contribution from biomass. Renewable energy will provide 44% of OECD Europe’s total heat demand in 2030 under the 2.0 °C Scenario and 53% under the 1.5 °C Scenario. In both scenarios, renewables will provide 100% of the total heat demand in 2050.
Figure 8.39 shows the development of different technologies for heating in OECD Europe over time, and Table 8.33 provides the resulting renewable heat supply for all scenarios. Up to 2030, biomass will remain the main contributor. The growing use of solar, geothermal, and environmental heat will lead in the long term to a biomass share of 27% in the 2.0 °C Scenario and 28% in the 1.5 °C Scenario.
Table 8.33
OECD Europe: development of renewable heat supply in the scenarios (excluding the direct use of electricity)
in PJ/year
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
2681
3115
3343
3713
4153
2.0 °C
2681
3109
3295
3483
3772
1.5 °C
2681
3046
3096
3220
3433
Solar heating
5.0 °C
119
216
251
345
454
2.0 °C
119
1043
1788
2904
3243
1.5 °C
119
1013
1464
2182
2327
Geothermal heat and heat pumps
5.0 °C
203
291
336
479
717
2.0 °C
203
968
1731
3572
5080
1.5 °C
203
878
1430
2933
4147
Hydrogen
5.0 °C
0
0
0
0
0
2.0 °C
0
0
1
788
1895
1.5 °C
0
0
162
1595
2227
Total
5.0 °C
3003
3623
3931
4537
5325
2.0 °C
3003
5121
6815
10,748
13,989
1.5 °C
3003
4937
6152
9930
12,134
Heat from renewable hydrogen will further reduce the dependence on fossil fuels in both scenarios. Hydrogen consumption in 2050 will be around 1900 PJ/year in the 2.0 °C Scenario and 2200 PJ/year in the 1.5 °C Scenario. The direct use of electricity for heating will also increase by a factor of 1.5–1.6 between 2015 and 2050, and will have a final energy share of 22% in 2050 in the 2.0 °C Scenario and 23% in the 1.5 °C Scenario.

8.7.1.6 OECD Europe: Future Investments in the Heating Sector

The roughly estimated investments in renewable heating technologies up to 2050 will amount to around $2410 billion in the 2.0 °C Scenario (including investments for plant replacement at the ends of their economic lifetimes), or approximately $67 billion per year. The largest share of investments in OECD Europe is assumed to be for heat pumps (around $1200 billion), followed by solar collectors ($1080 billion). The 1.5 °C Scenario assumes an even faster expansion of renewable technologies. However, the lower heat demand (compared with the 2.0 °C Scenario) will results in a lower average annual investment of around $51 billion per year (Fig. 8.40, Table 8.34).
Table 8.34
OECD Europe: installed capacities for renewable heat generation in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
434
467
486
507
519
2.0 °C
434
407
339
293
289
1.5 °C
434
381
276
256
242
Geothermal
5.0 °C
5
7
7
7
3
2.0 °C
5
15
24
49
48
1.5 °C
5
14
16
21
11
Solar heating
5.0 °C
36
65
76
104
137
2.0 °C
36
298
510
790
885
1.5 °C
36
291
423
624
685
Heat pumps
5.0 °C
29
40
46
62
84
2.0 °C
29
134
228
417
566
1.5 °C
29
121
183
336
444
Totala
5.0 °C
504
579
615
681
744
2.0 °C
504
855
1101
1548
1789
1.5 °C
504
807
897
1237
1383
a Excluding direct electric heating

8.7.1.7 OECD Europe: Transport

Energy demand in the transport sector in OECD Europe is expected to decrease by 3% in the 5.0 °C Scenario, from around 14,000 PJ/year in 2015 to 13,600 PJ/year in 2050. In the 2.0 °C Scenario, assumed technical, structural, and behavioural changes will save 69% (9460 PJ/year) by 2050 compared with the 5.0 °C Scenario. Additional modal shifts, technology switches, and a reduction in the transport demand will lead to even higher energy savings in the 1.5 °C Scenario of 76% (or 10,300 PJ/year) in 2050 compared with the 5.0 °C case (Table 8.35, Fig. 8.41).
Table 8.35
OECD Europe: projection of the transport energy demand by mode in the scenarios
in PJ/year
Case
2015
2025
2030
2040
2050
Rail
5.0 °C
323
334
335
337
344
2.0 °C
323
362
409
509
643
1.5 °C
323
383
458
453
400
Road
5.0 °C
13,087
12,699
12,633
12,529
12,464
2.0 °C
13,087
10,163
7540
4196
3097
1.5 °C
13,087
8197
4404
3215
2556
Domestic aviation
5.0 °C
300
397
448
485
474
2.0 °C
300
294
254
182
142
1.5 °C
300
273
198
105
82
Domestic navigation
5.0 °C
227
236
240
248
259
2.0 °C
227
236
240
247
258
1.5 °C
227
236
240
247
258
Total
5.0 °C
13,938
13,665
13,656
13,598
13,541
2.0 °C
13,938
11,055
8443
5134
4140
1.5 °C
13,938
9090
5300
4020
3296
By 2030, electricity will provide 18% (430 TWh/year) of the transport sector’s total energy demand in the 2.0 °C Scenario, whereas in 2050, the share will be 64% (740 TWh/year). In 2050, up to 840 PJ/year of hydrogen will be used in the transport sector as a complementary renewable option. In the 1.5 °C Scenario, the annual electricity demand will be 580 TWh in 2050. The 1.5 °C Scenario also assumes a hydrogen demand of 730 PJ/year by 2050.
Biofuel use is limited in the 2.0 °C Scenario to a maximum of 600 PJ/year Therefore, around 2030, synthetic fuels based on power-to-liquid will be introduced, with a maximum amount of 130 PJ/year in 2050. Biofuel use will be reduced in the 1.5 °C Scenario to a maximum of 590 PJ/year. The maximum synthetic fuel demand will reach 170 PJ/year.

8.7.1.8 OECD Europe: Development of CO2 Emissions

In the 5.0 °C Scenario, OECD Europe’s annual CO2 emissions will decrease by 15% from 3400 Mt. in 2015 to 2876 Mt. in 2050. The stringent mitigation measures in both alternative scenarios will cause the annual emissions to fall to 570 Mt. in 2040 in the 2.0 °C Scenario and to 270 Mt. in the 1.5 °C Scenario, with further reductions to almost zero by 2050. In the 5.0 °C case, the cumulative CO2 emissions from 2015 until 2050 will add up to 116 Gt. In contrast, in the 2.0 °C and 1.5 °C Scenarios, the cumulative emissions for the period from 2015 until 2050 will be 55 Gt and 44 Gt, respectively.
Therefore, the cumulative CO2 emissions will decrease by 53% in the 2.0 °C Scenario and by 62% in the 1.5 °C Scenario compared with the 5.0 °C case. A rapid reduction in the annual emissions will occur in both alternative scenarios. In the 2.0 °C Scenario, this reduction will be greatest in ‘Power generation’, followed by the ‘Transport’ and the ‘Residential and other’ sectors (Fig. 8.42).

8.7.1.9 OECD Europe: Primary Energy Consumption

The levels of primary energy consumption in the three scenarios when the assumptions discussed above are taken into account are shown in Fig. 8.43. In the 2.0 °C Scenario, the primary energy demand will decrease by 44%, from around 71,200 PJ/year in 2015 to 40,100 PJ/year in 2050. Compared with the 5.0 °C Scenario, the overall primary energy demand will decrease by 43% by 2050 in the 2.0 °C Scenario (5.0 °C: 70,700 PJ in 2050). In the 1.5 °C Scenario, the primary energy demand will be even lower (39,000 PJ in 2050) because the final energy demand and conversion losses will be lower.
Both the 2.0 °C and 1.5 °C Scenarios aim to rapidly phase-out coal and oil. This will cause renewable energy to have primary energy shares of 39% in 2030 and 92% in 2050 in the 2.0 °C Scenario. In the 1.5 °C Scenario, renewables will have a primary energy share of more than 92% in 2050 (including non-energy consumption, which will still include fossil fuels). Nuclear energy will be phased-out by 2040 under both the 2.0 °C and the 1.5 °C Scenarios. The cumulative primary energy consumption of natural gas in the 5.0 °C case will add up to 670 EJ, the cumulative coal consumption to about 300 EJm, and the crude oil consumption to 660 EJ. In contrast, in the 2.0 °C case, the cumulative gas demand will amount to 420 EJ, the cumulative coal demand to 100 EJ, and the cumulative oil demand to 320 EJ. Even lower fossil fuel use will be achieved in the 1.5 °C Scenario: 340 EJ for natural gas, 70 EJ for coal, and 240 EJ for oil.

8.7.2 OECD Europe: Power Sector Analysis

The European power sector is liberalized across the EU and cross-border trade in electricity has a long tradition and is very well documented. The European Network of Transmission System Operators for Electricity (ENTSO-E) publishes detailed data about the annual cross-border trade (ENTSO-E 2018) and produces the Ten-Year-Network Development Plan (TYNDP), which aims to integrate 60% renewable electricity by 2040 (TYNDP 2016). While the extent to which the power sector is liberalised and open for competition for generation and supply varies significantly across the EU, at the time of the writing of this book all 28-member states had renewable electricity and energy efficiency targets and policies to implement them. However, the OECD Europe region covers not only the EU but also neighbouring countries such as Norway, Switzerland and Turkey, which are not members of the EU, but are connected to the EU grid and are also involved in the cross-border electricity trade. The region also includes Iceland, Malta, and a significant number of islands in the coastal waters of the European continent and the Mediterranean Sea. The storage demand for all the islands and island nations cannot be calculated with a regional approach, and doing so was beyond the scope of this research. Israel is also part of OECD Europe in the IEA world regions used for this analysis. However, because of its geographic position, and to reflect current and possible future interconnections with its neighbours, Israel has been taken out of the energy balance of OECD Europe and integrated into the Middle East region.

8.7.2.1 OECD Europe: Development of Power Plant Capacities

The annual market for solar PV must increase from 11 GW in 2020 by a factor of 2 to an average of 40 GW by 2030. The onshore wind market must expand to 18 GW by 2025 under the 2.0 °C Scenario. This is only a minor increase on the average European wind market of 10–14 GW between 2009 and 2016 and 16.8 GW in 2017. However, the 1.5 °C Scenario requires that the size of the onshore wind market double between 2020 and 2025. The offshore wind market for both scenarios is similar and must increase from 3 GW (GWEC 2018) in 2017 to around 10 GW per year throughout the entire modelling period until 2050. All European lignite power plants will have stopped operations by 2035, and the last hard coal power plant will have gone offline by 2040 under the 2.0 °C Scenario. The 1.5 °C pathway requires the phase-out 5 years earlier (Table 8.36).
Table 8.36
OECD Europe: average annual change in installed power plant capacity
OECD Europe power generation: average annual change of installed capacity [GW/a]
2015–2025
2026–2035
2036–2050
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Hard coal
−5
−9
−8
−4
0
0
Lignite
−5
−6
−3
−2
0
0
Gas
2
1
0
−5
−22
−19
Hydrogen-gas
0
1
2
6
14
14
Oil/diesel
−7
−5
−1
−2
0
0
Nuclear
−6
−9
−6
−6
−2
−2
Biomass
5
7
4
3
1
1
Hydro
1
0
0
0
0
0
Wind (onshore)
13
28
22
32
13
10
Wind (offshore)
4
9
10
11
8
8
PV (roof top)
16
43
30
42
25
21
PV (utility scale)
5
14
10
14
8
7
Geothermal
0
1
2
2
2
2
Solar thermal power plants
1
2
2
4
2
2
Ocean energy
1
2
3
3
2
2
Renewable fuel based co-generation
3
6
4
4
1
1

8.7.2.2 OECD Europe: Utilization of Power-Generation Capacities

The UK, Ireland, and the Iberian Peninsula are the least interconnected sub-regions of OECD Europe, and they already have relatively high shares of variable renewables, as shown in Table 8.37.
Table 8.37
OECD Europe: power system shares by technology group
Power generation structure and interconnection
 
2.0 °C
1.5 °C
OECD Europe
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
Central
2015
12%
47%
41%
20%
    
2030
38%
47%
15%
20%
45%
43%
12%
20%
2050
62%
33%
5%
20%
64%
31%
5%
20%
UK & Islands
2015
25%
47%
28%
10%
    
2030
63%
31%
6%
20%
71%
25%
5%
20%
2050
84%
15%
2%
20%
85%
13%
2%
20%
Iberian Peninsula
2015
26%
47%
26%
10%
    
2030
67%
30%
3%
20%
76%
22%
3%
20%
2050
86%
13%
1%
20%
88%
12%
1%
20%
Balkans + Greece
2015
17%
47%
35%
10%
    
2030
53%
42%
6%
20%
60%
35%
5%
20%
2050
73%
24%
3%
20%
74%
23%
3%
20%
Baltic
2015
15%
47%
38%
10%
    
2030
44%
45%
12%
20%
50%
40%
10%
20%
2050
67%
29%
4%
20%
68%
28%
4%
20%
Nordic
2015
13%
47%
39%
10%
    
2030
39%
46%
14%
20%
46%
43%
11%
20%
2050
65%
31%
4%
20%
67%
29%
4%
20%
Turkey
2015
10%
47%
42%
5%
    
2030
35%
48%
17%
5%
40%
44%
16%
5%
2050
59%
35%
6%
5%
60%
34%
6%
5%
OECD Europe Central
2015
15%
47%
38%
     
2030
44%
44%
12%
 
51%
39%
10%
 
2050
67%
28%
4%
 
69%
27%
4%
 
Table 8.37 shows that the Nordic countries, especially Norway and Sweden, have very high shares of hydropower, including pumped hydropower. Therefore, an increased interconnection capacity with other sub-regions by 2030 will contribute to the integration of larger shares of wind and solar in other European regions. Across the EU, it is assumed that the average interconnection capacities will increase to 20% of the regional peak load.
Both alternative scenarios assume that limited dispatchable power generation—namely coal, lignite, and nuclear—will not have priority dispatch and will be last in the dispatch queue. Therefore, the average calculated capacity factor will decrease from 57.5% in 2015 to only 14% in 2020, as shown in Table 8.38.
Table 8.38
OECD Europe: capacity factors by generation type
Utilization of variable and dispatchable power generation:
 
2015
2020
2020
2030
2030
2040
2040
2050
2050
World
 
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Capacity factor – average
[%/yr]
45.2%
37%
37%
48%
44%
35%
36%
39%
38%
Limited dispatchable: fossil and nuclear
[%/yr]
57.5%
14%
14%
3%
2%
19%
1%
20%
9%
Limited dispatchable: renewable
[%/yr]
54.0%
60%
60%
52%
48%
60%
39%
41%
40%
Dispatchable: fossil
[%/yr]
32.0%
20%
20%
7%
7%
30%
10%
15%
16%
Dispatchable: renewable
[%/yr]
43.7%
67%
67%
67%
61%
39%
49%
52%
50%
Variable: renewable
[%/yr]
22.5%
22%
22%
40%
38%
29%
35%
36%
35%
Table 8.38 shows that by 2020, most of the installed coal and nuclear capacity will not be required to secure power supply. Instead, dispatchable renewable power plants will fill the gap and their capacity factors will increase.

8.7.2.3 OECD Europe: Development of Load, Generation, and Residual Load

The loads of the European sub-regions will not increase until 2030 in the two alternative scenarios, as shown in Table 8.39. The only exception is Turkey, which will have a constantly increasing load. This is attributed to Turkey’s assumed economic development and increasing per capita electricity demand, which is currently lower than in most EU countries (WB-DB 2018). The calculated load will increase in all sub-regions between 2030 and 2050 due to the increased deployment of electric mobility. Central Europe has a very high requirement for increased transmission interconnection—or storage, see Table 8.40—because of increases in variable generation, including offshore wind in the North Sea and Baltic Sea. Central Europe, the Iberian Peninsula, and the UK have the highest storage demands, as shown in Table 8.40. This corresponds to the calculated results for increased interconnections. To avoid curtailment, renewably produced hydrogen will be used to store surplus generation for dispatch when required. Finding the optimal mix of battery capacity, pumped hydro capacity, hydrogen production, and expansion of transmission capacity was beyond the scope of this analysis, and further research is required on this issue.
Table 8.39
OECD Europe: load, generation, and residual load development
Power generation structure
 
2.0 °C
1.5 °C
OECD Europe
Max demand
Max generation
Max residual load
Max interconnection requirements
Max demand
Max generation
Max residual load
Max interconnection requirements
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
Central
2020
328.9
322.3
73.6
 
328.9
322.3
77.8
 
2030
350.7
397.4
44.5
2
360.3
520.4
47.4
113
2050
491.9
842.8
243.1
108
511.2
954.3
259.0
184
UK & Islands
2020
66.1
73.5
33.2
 
66.1
73.4
33.1
 
2030
71.6
87.6
21.0
0
73.7
112.9
23.4
16
2050
98.0
187.9
51.5
38
102.2
210.7
55.1
53
Iberian Peninsula
2020
47.0
56.1
10.3
 
47.0
56.1
10.3
 
2030
50.8
62.3
7.3
4
52.6
80.8
7.9
20
2050
70.8
133.2
31.7
31
74.3
149.4
34.6
41
Balkans + Greece
2020
37.9
38.2
1.4
 
37.9
37.9
1.4
 
2030
39.5
49.3
6.3
4
41.6
63.1
6.8
15
2050
55.6
105.4
24.1
26
59.8
117.8
27.5
30
Baltic
2020
4.6
4.5
0.1
 
4.6
4.5
0.1
 
2030
4.9
6.1
0.7
1
5.1
7.9
0.7
2
2050
6.8
13.1
3.2
3
7.2
14.7
3.5
4
Nordic
2020
52.0
50.8
1.3
 
52.0
50.8
1.3
 
2030
54.4
65.9
8.7
3
55.2
86.0
10.4
20
2050
71.0
140.3
30.0
39
72.6
158.5
31.0
55
Turkey
2020
37.5
38.5
0.8
 
37.5
38.2
0.8
 
2030
48.4
49.1
6.9
0
50.8
64.4
7.5
6
2050
68.2
107.4
33.1
6
73.0
121.5
37.4
11
Table 8.40
OECD Europe: storage and dispatch service requirements
Storage and dispatch
 
2.0 °C
1.5 °C
OECD Europe
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
Central
2020
0
0
0
0
0
0
0
0
0
0
2030
425
67
728
796
38,043
6947
515
7996
8511
139,501
2050
59,495
28,998
32,425
61,423
546,511
99,134
35,542
48,679
84,222
549,376
UK & Islands
2020
0
0
0
0
0
0
0
0
0
0
2030
3419
293
5808
6101
4148
12,239
440
13,977
14,417
13,195
2050
57,089
9507
34,158
43,665
41,134
72,011
9738
38,301
48,039
40,932
Iberian Peninsula
2020
0
0
0
0
0
0
0
0
0
0
2030
1688
186
2763
2949
2712
12,555
407
11,672
12,079
8127
2050
52,580
7952
27,526
35,478
22,000
69,483
8273
30,928
39,201
22,448
Balkans + Greece
2020
0
0
0
0
0
0
0
0
0
0
2030
523
62
895
957
3274
3699
172
3996
4168
11,349
2050
19,794
5717
10,649
16,366
39,208
25,680
6267
12,033
18,300
42,798
Baltic
2020
0
0
0
0
0
0
0
0
0
0
2030
27
2
41
42
482
190
7
174
181
1775
2050
1071
360
542
902
6365
1504
413
677
1090
6636
Nordic
2020
0
0
0
0
0
0
0
0
0
0
2030
149
16
274
291
6276
2111
95
2237
2332
23,031
2050
14,144
4425
6905
11,330
80,577
22,171
5219
9360
14,580
78,294
Turkey
2020
0
0
0
0
0
0
0
0
0
0
2030
8
4
21
25
5287
762
72
1067
1139
20,038
2050
7887
4120
4348
8467
78,788
11,251
4744
5467
10,211
82,142
OECD Europe
2020
0
0
0
0
0
0
0
0
0
0
2030
6238
630
10,531
11,161
60,223
38,504
1710
41,118
42,827
217,016
2050
212,060
61,078
116,554
177,632
814,585
301,234
70,196
145,445
215,641
822,626

8.8 Africa

8.8.1 Africa: Long-Term Energy Pathways

8.8.1.1 Africa: Final Energy Demand by Sector

The development pathways for Africa’s final energy demand when the assumptions on population growth, GDP growth, and energy intensity are combined are shown in Fig. 8.44 for the 5.0 °C, 2.0 °C, and 1.5 °C Scenarios. In the 5.0 °C Scenario, the total final energy demand will increase by 103% from the current 23,200 PJ/year to 47,100 PJ/year in 2050. In the 2.0 °C Scenario, the final energy demand will increase at a much slower rate, by 39% compared with current consumption, and will reach 32,300 PJ/year by 2050. The final energy demand under the 1.5 °C Scenario will reach 30,100 PJ, 30% above the 2015 demand level. In the 1.5 °C Scenario, the final energy demand in 2050 will be 7% lower than in the 2.0 °C Scenario. The electricity demand for ‘classical’ electrical devices (without power-to-heat or e-mobility) will increase from 540 TWh/year in 2015 to around 2590 TWh/year in 2050 in both alternative scenarios, which will be 590 TWh/year higher than in the 5.0 °C case. Although efficiency measures will reduce the specific energy consumption by appliances, the scenarios consider higher consumption to achieve higher living standards.
Electrification will lead to a significant increase in the electricity demand by 2050. In the 2.0 °C Scenario, the electricity demand for heating will increase to approximately 1200 TWh/year due to electric heaters and heat pumps, and in the transport sector, the demand will increase to approximately 1300 TWh/year in response to increased electric mobility. The generation of hydrogen (for transport and high-temperature process heat) and the manufacture of synthetic fuels (mainly for transport) will add an additional power demand of 1100 TWh/year The gross power demand will thus increase from 800 TWh/year in 2015 to 5700 TWh/year in 2050 in the 2.0 °C Scenario, 119% higher than in the 5.0 °C case. In the 1.5 °C Scenario, the gross electricity demand will increase to a maximum of 6300 TWh/year in 2050.
The efficiency gains in the heating sector could be even larger than in the electricity sector. In the 2.0 °C and 1.5 °C Scenarios, a final energy consumption equivalent to about 3600 PJ/year is avoided through efficiency gains by 2050 compared with the 5.0 °C Scenario.

8.8.1.2 Africa: Electricity Generation

The development of the power system is characterized by a dynamically growing renewable energy market and an increasing proportion of total power from renewable sources. By 2050, 100% of the electricity produced in Africa will come from renewable energy sources in the 2.0 °C Scenario. ‘New’ renewables—mainly wind, solar, and geothermal energy—will contribute 92% of the total electricity generation. Renewable electricity’s share of total production will be 61% by 2030 and 96% by 2040. The installed capacity of renewables will reach about 360 GW by 2030 and 2040 GW by 2050. In the 1.5 °C Scenario, the share of renewable electricity generation in 2030 is assumed to be 73%. The 1.5 °C Scenario will have a generation capacity from renewable energy of approximately 2280 GW in 2050.
Table 8.41 shows the development of different renewable technologies in Africa over time. Figure 8.45 provides an overview of the overall power-generation structure in Africa. From 2020 onwards, the continuing growth of wind and PV, up to 610 GW and 980 GW, respectively, will be complemented by up to 230 GW of solar thermal generation, as well as limited biomass, geothermal, and ocean energy, in the 2.0 °C Scenario. Both the 2.0 °C and 1.5 °C Scenarios will lead to high proportions of variable power generation (PV, wind, and ocean) of 40% and 49%, respectively, by 2030, and 71% by 2050.
Table 8.41
Africa: development of renewable electricity-generation capacity in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Hydro
5.0 °C
28
47
58
84
117
2.0 °C
28
46
49
51
54
1.5 °C
28
46
48
51
54
Biomass
5.0 °C
1
2
4
8
13
2.0 °C
1
8
17
33
48
1.5 °C
1
8
25
42
72
Wind
5.0 °C
3
11
14
20
29
2.0 °C
3
42
132
415
609
1.5 °C
3
87
197
453
633
Geothermal
5.0 °C
1
2
3
7
14
2.0 °C
1
7
16
33
64
1.5 °C
1
7
16
33
64
PV
5.0 °C
2
17
27
52
89
2.0 °C
2
38
134
611
983
1.5 °C
2
70
166
757
1162
CSP
5.0 °C
0
2
3
10
17
2.0 °C
0
0
1
80
235
1.5 °C
0
2
19
108
257
Ocean
5.0 °C
0
0
0
0
0
2.0 °C
0
2
10
20
43
1.5 °C
0
2
10
20
43
Total
5.0 °C
35
81
110
180
279
2.0 °C
35
144
359
1243
2036
1.5 °C
35
223
481
1464
2284

8.8.1.3 Africa: Future Costs of Electricity Generation

Figure 8.46 shows the development of the electricity-generation and supply costs over time, including the CO2 emission costs, in all scenarios. The calculated electricity-generation costs in 2015 (referring to full costs) were around 5.4 ct/kWh. In the 5.0 °C case, generation costs will increase until 2030, when they reach 11 ct/kWh, and will then stabilize at 10.8 ct/kWh by 2050. In the 2.0 °C and 1.5 °C Scenarios, the generation costs will increase until 2030, when they reach 8.4 ct/kWh and 8.2 ct/kWh, respectively. They will then drop to 5.6 ct/kWh by 2050 in both scenarios, 5.2 ct/kWh lower than in the 5.0 °C case. Note that these estimates of generation costs do not take into account integration costs such as power grid expansion, storage, or other load-balancing measures.
In the 5.0 °C case, the growth in demand and increasing fossil fuel prices will cause the total electricity supply costs to increase from today’s $40 billion/year to more than $290 billion/year in 2050. In the 2.0 °C Scenario, the total supply costs will be $350 billion/year, and in the 1.5 °C Scenario, they will be $380 billion/year The long-term costs of electricity supply will be more than 23% higher under the 2.0 °C Scenario than under the 5.0 °C Scenario as a result of the estimated generation costs and the electrification of heating and mobility. Further electrification and synthetic fuel generation in the 1.5 °C Scenario will result in total power generation costs that are 34% higher than in the 5.0 °C case.
Compared with these results, the generation costs when the CO2 emission costs are not considered will increase in the 5.0 °C case to 8.1 ct/kWh. In the 2.0 °C Scenario, they will increase until 2030, when they reach 6.8 ct/kWh, and then drop to 5.6 ct/kWh by 2050. In the 1.5 °C Scenario, they will increase to 7.2 ct/kWh and then drop to 5.6 ct/kWh by 2050. Therefore, the generation costs in both alternative scenarios are, at maximum, 2.5 ct/kWh lower than in the 5.0 °C case. If the CO2 costs are not considered, the total electricity supply costs in the 5.0 °C case will increase to about $220 billion/year in 2050.

8.8.1.4 Africa: Future Investments in the Power Sector

An investment of around $3500 billion will be required for power generation between 2015 and 2050 in the 2.0 °C Scenario—including additional power plants for the production of hydrogen and synthetic fuels and investments in plant replacement at the ends of their economic lives. This value is equivalent to approximately $97 billion per year, on average, and is $2590 billion more than in the 5.0 ° C case ($910 billion). An investment of around $3910 billion for power generation will be required between 2015 and 2050 in the 1.5 °C Scenario. On average, this is an investment of $109 billion per year. In the 5.0 °C Scenario, the investment in conventional power plants will be around 45% of the total cumulative investments, and approximately 55% will be invested in renewable power generation and co-generation (Fig. 8.47).
However, in the 2.0 °C (1.5 °C) Scenario, Africa will shift almost 93% (94%) of its entire investments to renewables and co-generation. By 2030, the fossil fuel share of power sector investments will focus predominantly on gas power plants that can also be operated with hydrogen.
Because renewable energy has no fuel costs, other than biomass, the cumulative fuel cost savings in the 2.0 °C Scenario will reach a total of $1510 billion in 2050, equivalent to $42 billion per year. Therefore, the total fuel cost savings will be equivalent to 60% of the total additional investments compared to the 5.0 °C Scenario. The fuel cost savings in the 1.5 °C Scenario will add up to $1610 billion, or $45 billion per year.

8.8.1.5 Africa: Energy Supply for Heating

The final energy demand for heating will increase in the 5.0 °C Scenario by 166%, from 7600 PJ/year in 2015 to 20,200 PJ/year in 2050. Energy efficiency measures will help to reduce the energy demand for heating by 18% in 2050 in both alternative scenarios, relative to the 5.0 °C case. Today, renewables supply around 61% of Africa’s final energy demand for heating, with the main contribution from biomass. Renewable energy will provide 71% of Africa’s total heat demand in 2030 under the 2.0 °C Scenario and 79% under the 1.5 °C Scenario. In both scenarios, renewables will provide 100% of the total heat demand from renewable energy in 2050.
Figure 8.48 shows the development of different technologies for heating in Africa over time, and Table 8.42 provides the resulting renewable heat supply for all scenarios. Biomass will remain the main contributor. The growing use of solar, geothermal, and environmental heat will lead, in the long term, to a reduced biomass share of 51% in the 2.0 °C Scenario and 40% in the 1.5 °C Scenario.
Table 8.42
Africa: development of renewable heat supply in the scenarios (excluding the direct use of electricity)
in PJ/year
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
4586
5761
6317
7211
8203
2.0 °C
4586
5308
6047
7039
6551
1.5 °C
4586
5748
6448
6938
4222
Solar heating
5.0 °C
7
37
86
228
481
2.0 °C
7
204
786
2066
3416
1.5 °C
7
203
783
2109
3416
Geothermal heat and heat pumps
5.0 °C
0
0
0
0
0
2.0 °C
0
86
215
559
2106
1.5 °C
0
86
213
591
2106
Hydrogen
5.0 °C
0
0
0
0
0
2.0 °C
0
0
0
397
720
1.5 °C
0
0
0
429
720
Total
5.0 °C
4593
5797
6404
7440
8684
2.0 °C
4593
5598
7047
10,061
12,793
1.5 °C
4593
6037
7444
10,067
10,464
Heat from renewable hydrogen will further reduce the dependence on fossil fuels in both scenarios. Hydrogen consumption in 2050 will be around 720 PJ/year in both the 2.0 °C Scenario and 1.5 °C Scenario. The direct use of electricity for heating will also increase by a factor of 21–34 between 2015 and 2050, and will attain a final energy share of 23% in 2050 in the 2.0 °C Scenario and 37% in the 1.5 °C Scenario.

8.8.1.6 Africa: Future Investments in the Heating Sector

The roughly estimated investments in renewable heating technologies up to 2050 will amount to around $790 billion in the 2.0 °C Scenario (including investments in plant replacement after their economic lifetimes), or approximately $22 billion per year. The largest share of investment in Africa is assumed to be for heat pumps (around $370 billion), followed by solar collectors and biomass technologies. The 1.5 °C Scenario assumes an even faster expansion of renewable technologies. However, the lower heat demand (compared with the 2.0 °C Scenario) will result in a lower average annual investment of around $21 billion per year (Table 8.43, Fig. 8.49).
Table 8.43
Africa: installed capacities for renewable heat generation in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Biomass
5 0 °C
3655
4036
4100
3973
3870
2 0 °C
3655
3276
3063
2792
2251
1 5 °C
3655
3562
3069
2440
1307
Geothermal
5 0 °C
0
0
0
0
0
2 0 °C
0
5
9
15
37
1 5 °C
0
5
8
15
37
Solar heating
5 0 °C
1
7
16
44
92
2 0 °C
1
39
150
396
654
1 5 °C
1
39
150
404
654
Heat pumps
5 0 °C
0
0
0
0
0
2 0 °C
0
3
16
51
227
1 5 °C
0
3
16
54
227
Totala
5 0 °C
3656
4043
4116
4017
3962
2 0 °C
3656
3324
3239
3253
3169
1 5 °C
3656
3610
3244
2912
2225
a Excluding direct electric heating

8.8.1.7 Africa: Transport

The energy demand in the transport sector in Africa is expected to increase by 131% in the 5.0 °C Scenario, from around 4400 PJ/year in 2015 to 10,100 PJ/year in 2050. In the 2.0 °C Scenario, assumed technical, structural, and behavioural changes will save 53% (5410 PJ/year) by 2050 compared with the 5.0 °C Scenario. Additional modal shifts, technology switches, and a reduction in the transport demand will lead to even higher energy savings in the 1.5 °C Scenario of 63% (or 6360 PJ/year) in 2050 compared with the 5.0 °C case (Table 8.44, Fig. 8.50).
Table 8.44
Africa: projection of transport energy demand by mode in the scenarios
in PJ/year
Case
2015
2025
2030
2040
2050
Rail
5.0 °C
46
52
58
67
74
2.0 °C
46
58
71
96
110
1.5 °C
46
69
88
125
186
Road
5.0 °C
4182
5000
5812
7522
9635
2.0 °C
4182
4688
4828
4651
4488
1.5 °C
4182
4493
4422
3925
3482
Domestic aviation
5.0 °C
105
159
198
256
272
2.0 °C
105
114
110
90
71
1.5 °C
105
110
102
74
54
Domestic navigation
5.0 °C
32
35
37
40
44
2.0 °C
32
35
37
40
44
1.5 °C
32
35
37
40
44
Total
5.0 °C
4366
5246
6105
7885
10,027
2.0 °C
4366
4895
5045
4877
4714
1.5 °C
4366
4707
4648
4164
3765
By 2030, electricity will provide 4% (50 TWh/year) of the transport sector’s total energy demand in the 2.0 °C Scenario, whereas by 2050, the share will be 28% (370 TWh/year). In 2050, up to 410 PJ/year of hydrogen will be used in the transport sector as a complementary renewable option. In the 1.5 °C Scenario, the annual electricity demand will be 360 TWh in 2050. The 1.5 °C Scenario also assumes a hydrogen demand of 340 PJ/year by 2050.
Biofuel use is limited in the 2.0 °C Scenario to a maximum of 2300 PJ/year. Therefore, around 2030, synthetic fuels based on power-to-liquid will be introduced, with a maximum amount of 700 PJ/year in 2050. With the lower overall energy demand by transport, biofuel use will be reduced in the 1.5 °C Scenario to a maximum of 1700 PJ/year The maximum synthetic fuel demand will amount to 470 PJ/year.

8.8.1.8 Africa: Development of CO2 Emissions

In the 5.0 °C Scenario, Africa’s annual CO2 emissions will increase by 126%, from 1140 Mt. in 2015 to 2585 Mt. in 2050. The stringent mitigation measures in both alternative scenarios will cause annual emissions to fall to 400 Mt. in 2040 in the 2.0 °C Scenario and to 200 Mt. in the 1.5 °C Scenario, with further reductions to almost zero by 2050. In the 5.0 °C case, the cumulative CO2 emissions from 2015 until 2050 will add up to 66 Gt. In contrast, in the 2.0 °C and 1.5 °C Scenarios, the cumulative emissions for the period from 2015 until 2050 will be 27 Gt and 22 Gt, respectively.
Therefore, the cumulative CO2 emissions will decrease by 59% in the 2.0 °C Scenario and by 67% in the 1.5 °C Scenario compared with the 5.0 °C case. A rapid reduction in annual emissions will occur in both alternative scenarios. In the 2.0 °C Scenario, this reduction will be greatest in ‘Power generation’, followed by the ‘Industry’ and ‘Residential and other’ sectors (Fig. 8.51).

8.8.1.9 Africa: Primary Energy Consumption

The levels of primary energy consumption in the three scenarios when the assumptions discussed above are taken into account are shown in Fig. 8.52. In the 2.0 °C Scenario, the primary energy demand will increase by 50% from around 33,200 PJ/year in 2015 to around 50,000 PJ/year in 2050. Compared with the 5.0 °C Scenario, the overall primary energy demand will decrease by 26% by 2050 in the 2.0 °C Scenario (5.0 °C: 67700 PJ in 2050). In the 1.5 °C Scenario, the primary energy demand will be even lower (48,000 PJ in 2050) because the final energy demand and conversion losses will be lower.
Both the 2.0 °C and 1.5 °C Scenarios aim to rapidly phase-out coal and oil. This will cause renewable energy to have a primary energy share of 56% in 2030 and 98% in 2050 in the 2.0 °C Scenario. In the 1.5 °C Scenario, renewables will have a primary energy share of more than 98% in 2050 (including non-energy consumption, which will still include fossil fuels). Nuclear energy will be phased-out by 2035 under both the 2.0 °C Scenario and 1.5 °C Scenario. The cumulative primary energy consumption of natural gas in the 5.0 °C case will add up to 290 EJ, the cumulative coal consumption to about 210 EJ, and the crude oil consumption to 390 EJ. In contrast, in the 2.0 °C Scenario, the cumulative gas demand will amount to 130 EJ, the cumulative coal demand to 70 EJ, and the cumulative oil demand to 180 EJ. Even lower fossil fuel use will achieved in the 1.5 °C Scenario: 110 EJ for natural gas, 50 EJ for coal, and 150 EJ for oil.

8.8.2 Africa: Power Sector Analysis

The African continent has 54 countries and its geographic, economic, and climatic diversity are significant. Its regional breakdown into sub-regions tries to reflect this diversity, but still requires a level of simplification. There is no pan-African power grid yet, although it is currently under discussion. The African Clean Energy Corridor (ACEC) is the most prominent regional initiative and aims to connect the Eastern Africa Power Pool (EAPP) with the Southern Africa Power Pool (SAPP). It was politically endorsed in January 2014 at the Assembly of the International Renewable Energy Agency (IRENA 2014).

8.8.2.1 Africa: Development of Power Plant Capacities

In 2050, Africa’s most important renewable power-generation technology in both scenarios will be solar PV. In the 1.5 °C Scenario, solar PV will provide just over 40% of the total generation capacity, followed by onshore wind (with 24%), hydrogen power (15%), and CSP plants (located in the desert regions), with 10% of the total capacity. All other renewable power plant technologies will have only 2%–3% shares. The 2.0 °C Scenario will arrive at similar capacities by 2050, although the transition times in the two scenarios differ. Africa must build up solar PV and onshore wind markets equal to the market sizes in China in 2017: 50 GW of solar PV installation (REN21-GSR2018) and 23 GW of onshore wind (GWEC 2018). The market for CSP plants must reach about 1 GW per year by 2025, increasing rapidly to 3 GW per year in 2029 and 15 GW per year in 2035 (Table 8.45).
Table 8.45
Africa: average annual change in installed power plant capacity
Africa power generation: average annual change of installed capacity [GW/a]
2015–2025
2026–2035
2036–2050
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Hard coal
2
0
−2
−7
−4
0
Lignite
0
0
0
0
0
0
Gas
6
3
10
16
13
14
Hydrogen-gas
0
0
1
3
15
32
Oil/diesel
−1
−2
−2
−2
−1
−1
Nuclear
0
0
0
0
0
0
Biomass
1
3
2
3
2
3
Hydro
2
1
1
1
0
0
Wind (onshore)
5
20
21
21
23
21
Wind (offshore)
0
2
5
10
7
4
PV (roof top)
3
12
29
31
41
48
PV (utility scale)
1
4
10
10
14
16
Geothermal
1
2
2
2
3
3
Solar thermal power plants
0
2
4
9
18
16
Ocean energy
0
1
1
1
3
3
Renewable fuel based co-generation
1
2
2
2
1
1

8.8.2.2 Africa: Utilization of Power-Generation Capacities

Africa’s sub-regions are assumed to have an interconnection capacity of 5% at the beginning of the calculation period (2015). This capacity is not required for any exchange of variable electricity production, because currently, shares are only at or below 2% of the total generation capacity (Table 8.46). However, the variable generation capacity will increase rapidly towards 2030. We assume that the interconnection capacity between sub-regions will increase and that initiatives such as the African Clean Energy Corridor (ACEC) will be implemented successfully.
Table 8.46
Africa: power system shares by technology group
Power generation structure and interconnection
 
2.0 °C
1.5 °C
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
North Africa
2015
2%
25%
73%
5%
    
2030
56%
23%
21%
20%
60%
8%
32%
5%
2050
75%
25%
0%
25%
61%
10%
29%
20%
West Africa
2015
1%
26%
73%
5%
    
2030
38%
24%
38%
20%
41%
18%
41%
5%
2050
67%
33%
0%
25%
63%
23%
14%
20%
Central Africa
2015
0%
26%
74%
5%
    
2030
20%
29%
50%
20%
19%
30%
52%
5%
2050
42%
58%
0%
25%
39%
44%
17%
20%
East Africa
2015
2%
26%
72%
5%
    
2030
50%
22%
28%
20%
59%
10%
31%
5%
2050
75%
25%
0%
25%
68%
13%
18%
20%
Southern Africa
2015
1%
25%
73%
5%
    
2030
46%
20%
34%
20%
52%
17%
31%
5%
2050
81%
19%
0%
25%
70%
12%
17%
20%
South Africa
2015
2%
25%
73%
5%
    
2030
63%
0%
36%
20%
54%
8%
38%
5%
2050
67%
33%
0%
25%
49%
9%
42%
20%
Africa
2015
2%
26%
73%
     
2030
47%
21%
32%
 
52%
13%
35%
 
2050
73%
27%
0%
 
64%
15%
21%
 
The development of average capacity factors for each generation type will follow the same trend as in most world regions. Table 8.47 shows the significant drop in the capacity factors of limited dispatchable power plants under the 1.5 °C Scenario.
Table 8.47
Africa: capacity factors by generation type
Utilization of Variable and Dispatchable power generation:
 
 
2015
2020
2020
2030
2030
2040
2040
2050
2050
Africa
  
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Capacity factor – average
[%/yr]
54.7%
33%
33%
29%
25%
40%
23%
36%
23%
Limited dispatchable: fossil and nuclear
[%/yr]
69.4%
31%
5%
19%
8%
20%
4%
10%
5%
Limited dispatchable: renewable
[%/yr]
29.7%
52%
32%
35%
24%
51%
17%
36%
17%
Dispatchable: fossil
[%/yr]
49.2%
32%
37%
16%
23%
36%
15%
16%
17%
Dispatchable: renewable
[%/yr]
43.7%
39%
28%
27%
20%
41%
12%
49%
14%
Variable: renewable
[%/yr]
12.2%
12%
12%
38%
28%
34%
27%
35%
27%

8.8.2.3 Africa: Development of Load, Generation, and Residual Load

Table 8.48 shows that under the 2.0 °C Scenario, the transmission capacities need not exceed the assumed 25% interconnection capacity. If the exchange capacity between Africa’s sub-regions is 20%—as calculated under the 1.5 °C Scenario—additional capacity will be required. Therefore, a 25% interconnection capacity seems a good target for high renewable penetration scenarios in Africa. The load in all sub-regions—from North Africa to South Africa—will increase significantly. The greatest increase is calculated for Southern Africa, with the load increasing by a factor of 7, followed by Central Africa (a factor of 6.5), East Africa (6), West Africa (5.5), and North Africa (4). The load increase in the Republic of South Africa will follow the patterns of other industrialized countries, more than doubling, due mainly to increases in electric mobility. The load increases in other parts of Africa will be first and foremost due to universal access to energy services for all households and favourable economic development.
Table 8.48
Africa: load, generation, and residual load development
Power generation structure
 
2.0 °C
1.5 °C
Africa
Max demand
Max generation
Max residual load
Max interconnection requirements
Max demand
Max generation
Max residual load
Max interconnection requirements
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
North Africa
2020
23.8
19.3
8.4
 
23.8
20.2
7.8
 
2030
31.0
33.9
4.2
0
34.0
43.6
6.0
4
2050
99.3
161.9
63.6
0
109.8
186.1
28.5
48
West Africa
2020
38.7
19.5
19.7
 
38.6
22.9
16.5
 
2030
64.7
56.7
25.3
0
66.5
58.5
24.5
0
2050
214.4
310.3
164.6
0
216.1
355.7
118.0
22
Central Africa
2020
4.2
3.4
0.8
 
4.2
3.9
0.3
 
2030
8.2
7.3
2.6
0
8.5
7.7
2.6
0
2050
27.0
38.6
26.4
0
27.3
46.8
26.6
0
East Africa
2020
44.0
34.8
11.9
 
44.0
39.5
7.0
 
2030
86.5
75.0
30.0
0
88.5
82.9
28.5
0
2050
265.1
369.8
197.4
0
267.1
425.1
101.7
56
Southern Africa
2020
27.8
24.2
4.0
 
27.7
25.4
2.3
 
2030
67.2
57.9
35.9
0
68.3
74.5
36.6
0
2050
199.3
359.3
169.9
0
199.6
407.3
111.5
96
South Africa
2020
25.3
23.5
1.7
 
25.3
23.5
2.7
 
2030
22.4
30.0
3.3
4
30.4
37.5
7.0
0
2050
70.1
122.9
24.7
28
94.9
141.5
25.4
21
Table 8.49 provides an overview of the calculated storage and dispatch power requirements by African sub-region. East and West Africa will require the highest battery capacity, due to the very high share of solar PV battery systems in rural and residential areas with low power grid availability. Like the Middle East, Africa is one of the global renewable fuel production regions and it is assumed that all sub-regions of Africa have equal amounts of energy export potential. However, a more detailed examination of export energy is required, which is beyond the scope of this project.
Table 8.49
Africa: storage and dispatch service requirements
Storage and dispatch
 
2.0 °C
1.5 °C
Africa
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
North Africa
2020
0
0
0
0
0
0
0
0
0
0
2030
1456
44
857
901
0
4611
65
1500
1565
0
2050
59,499
1959
2904
4864
37,284
77,546
1976
2994
4969
2904
West Africa
2020
0
0
0
0
0
0
0
0
0
0
2030
0
1
11
12
0
18
10
126
136
0
2050
62,015
2525
3154
5679
41,842
125,281
2552
3797
6349
10,940
Central Africa
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
0
0
0
0
0
0
2050
4938
293
298
590
6107
10,557
323
391
714
3879
East Africa
2020
0
0
0
0
0
0
0
0
0
0
2030
54
45
827
872
0
1960
78
1787
1865
0
2050
104,983
3467
4976
8444
65,953
182,399
3573
5673
9246
6375
Southern Africa
2020
0
0
0
0
0
0
0
0
0
0
2030
609
33
640
673
0
3268
49
1053
1102
0
2050
110,532
2122
3371
5493
42,521
177,898
2189
3818
6008
19,886
South Africa
2020
0
0
0
0
0
0
0
0
0
0
2030
2757
113
2155
2268
0
1407
46
877
923
0
2050
25,233
2659
3245
5904
19,194
11,741
2038
1886
3924
0
Africa
2020
0
0
0
0
0
0
0
0
0
0
2030
4877
237
4489
4726
0
11,264
248
5343
5591
0
2050
367,201
13,026
17,948
30,974
212,902
585,423
12,651
18,558
31,210
43,984

8.9 The Middle East

8.9.1 The Middle East: Long-Term Energy Pathways

8.9.1.1 The Middle East: Final Energy Demand by Sector

The future development pathways for the Middle East’s final energy demand when the assumptions on population growth, GDP growth, and energy intensity are combined are shown in Fig. 8.53 for the 5.0 °C, 2.0 °C, and 1.5 °C Scenarios. In the 5.0 °C Scenario, the total final energy demand will increase by 133% from the current 17,100 PJ/year to around 40,000 PJ/year in 2050. In the 2.0 °C Scenario, the final energy demand will decrease by 8% compared with current consumption and will reach 15,800 PJ/year by 2050. The final energy demand in the 1.5 °C Scenario will reach 13,600 PJ, 20% below the 2015 demand level. In the 1.5 °C Scenario, the final energy demand in 2050 will be 14% lower than in the 2.0 °C Scenario. The electricity demand for ‘classical’ electrical devices (without power-to-heat or e-mobility) will increase from 650 TWh/year in 2015 to 1230 TWh/year (2.0 °C) and 1160 TWh/year (1.5 °C) by 2050. Compared with the 5.0 °C case (2330 TWh/year in 2050), the efficiency measures in the 2.0 °C and 1.5 °C Scenarios will save a maximum of 1100 TWh/year and 1170 TWh/year, respectively.
Electrification will lead to a significant increase in the electricity demand. In the 2.0 °C Scenario, the electricity demand for heating will rise to approximately 800 TWh/year due to electric heaters and heat pumps, and in the transport sector, the demand will rise to approximately 1700 TWh/year due to the increase in electric mobility. The generation of hydrogen (for transport and high-temperature process heat) and the manufacture of synthetic fuels (mainly for transport) will add an additional power demand of 1900 TWh/year. The gross power demand will thus rise from 1100 TWh/year in 2015 to 4700 TWh/year in 2050 in the 2.0 °C Scenario, 57% higher than in the 5.0 °C case. In the 1.5 °C Scenario, the gross electricity demand will increase to a maximum of 4100 TWh/year by 2045.
The efficiency gains could be even larger in the heating sector than in the electricity sector. In the 2.0 °C and 1.5 °C Scenarios, a final energy consumption equivalent to about 10,100 PJ/year and 10,500 PJ/year, respectively, will be avoided through efficiency gains by 2050 compared with the 5.0 °C Scenario.

8.9.1.2 The Middle East: Electricity Generation

The development of the power system is characterized by a dynamically growing renewable energy market and an increasing proportion of total power from renewable sources. By 2050, 100% of the electricity produced in the Middle East will come from renewable energy sources under the 2.0 °C Scenario. ‘New’ renewables—mainly wind, solar, and geothermal energy—will contribute 96% of the total electricity generation. Renewable electricity’s share of the total production will be 49% by 2030 and 91% by 2040. The installed capacity of renewables will reach about 430 GW by 2030 and 1910 GW by 2050. The share of renewable electricity generation in 2030 in the 1.5 °C Scenario is assumed to be 58%. In the 1.5 °C Scenario, the generation capacity from renewable energy will be approximately 1700 GW in 2050.
Table 8.50 shows the development of different renewable technologies in the Middle East over time. Figure 8.54 provides an overview of the overall power-generation structure in the Middle East. From 2020 onwards, the continuing growth of wind and PV, up to 480 GW and 1070 GW, respectively, will be complemented by up to 250 GW of solar thermal generation, as well as limited biomass, geothermal, and ocean energy, in the 2.0 °C Scenario. Both the 2.0 °C Scenario and 1.5 °C Scenario will lead to high proportions of variable power generation (PV, wind, and ocean) of 39% and 46%, respectively, by 2030, and 64% and 66%, respectively, by 2050.
Table 8.50
Middle East: development of renewable electricity-generation capacity in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Hydro
5.0 °C
16
20
22
25
29
2.0 °C
16
22
22
25
29
1.5 °C
16
22
22
25
29
Biomass
5.0 °C
0
0
1
3
7
2.0 °C
0
2
3
4
4
1.5 °C
0
3
3
4
4
Wind
5.0 °C
0
4
9
23
49
2.0 °C
0
54
156
371
481
1.5 °C
0
60
175
432
456
Geothermal
5.0 °C
0
0
0
0
0
2.0 °C
0
5
7
20
25
1.5 °C
0
5
7
20
21
PV
5.0 °C
0
7
10
21
40
2.0 °C
0
76
187
560
1069
1.5 °C
0
92
236
587
928
CSP
5.0 °C
0
2
3
6
7
2.0 °C
0
10
43
270
252
1.5 °C
0
10
47
342
216
Ocean
5.0 °C
0
0
0
0
0
2.0 °C
0
5
10
40
50
1.5 °C
0
5
10
40
45
Total
5.0 °C
16
32
45
79
132
2.0 °C
16
174
427
1290
1911
1.5 °C
16
197
500
1449
1699

8.9.1.3 The Middle East: Future Costs of Electricity Generation

Figure 8.55 shows the development of the electricity-generation and supply costs over time, including the CO2 emission costs, in all scenarios. The calculated electricity-generation costs in 2015 (referring to full costs) were around 7.1 ct/kWh. In the 5.0 °C case, the generation costs will increase until 2030, when they reach 14.8 ct/kWh, and then drop to 13.7 ct/kWh by 2050. The generation costs in the 2.0 °C Scenario will increase until 2030, when they reach 11.1 ct/kWh, and then drop to 6.1 ct/kWh by 2050. In the 1.5 °C Scenario, they will increase to 10.7 ct/kWh, and then drop to 7.3 ct/kWh by 2050. In the 2.0 °C Scenario, the generation costs in 2050 will be 7.6 ct/kWh lower than in the 5.0 °C case. In the 1.5 °C Scenario, the generation costs in 2050 will be 6.4 ct/kWh lower than in the 5.0 °C case. Note that these estimates of generation costs do not take into account integration costs such as power grid expansion, storage, or other load-balancing measures.
In the 5.0 °C case, growth in demand and increasing fossil fuel prices will cause the total electricity supply costs to rise from today’s $70 billion/year to more than $410 billion/year in 2050. In the 2.0 °C Scenario, the total supply costs will be $300 billion/year and in the 1.5 °C Scenario, they will be $310 billion/year. The long-term cost of electricity supply will be more than 27% lower in the 2.0 °C Scenario than in the 5.0 °C Scenario as a result of the estimated generation costs and the electrification of heating and mobility. Further demand reductions in the 1.5 °C Scenario will result in total power-generation costs that are 24% lower than in the 5.0 °C case.
The generation costs without the CO2 emission costs will increase in the 5.0 °C case to 11.1 ct/kWh by 2030, and then stabilize at 10.8 ct/kWh by 2050. In the 2.0 °C Scenario and the 1.5 °C Scenario, they will increase to a maximum of 9 ct/kWh in 2030, before they drop to 6.1 ct/kWh and 7.3 ct/kWh by 2050, respectively. In the 2.0 °C Scenario, the generation costs will be 4.7 ct/kWh lower than in the 5.0 °C case and this maximum difference will occur in 2050. In the 1.5 °C Scenario, the maximum difference in generation costs compared with the 5.0 °C case will be 3.5 ct/kWh in 2050. If the CO2 costs are not considered, the total electricity supply costs in the 5.0 °C case will rise to about $320 billion/year by 2050.

8.9.1.4 The Middle East: Future Investments in the Power Sector

An investment of around $3450 billion will be required for power generation between 2015 and 2050 in the 2.0 °C Scenario—including additional power plants for the production of hydrogen and synthetic fuels and investments in plant replacement at the ends of their economic lives. This value will be equivalent to approximately $96 billion per year on average, and this is $2720 billion more than in the 5.0 °C case ($730 billion). An investment of around $3470 billion for power generation will be required between 2015 and 2050 in the 1.5 °C Scenario, or on average, $96 billion per year. In the 5.0 °C Scenario, the investment in conventional power plants will be around 68% of the total cumulative investments, whereas approximately 32% will be invested in renewable power generation and co-generation (Fig. 8.56). However, in both alternative scenarios, the Middle East will shift almost 94% of its entire investments to renewables and co-generation. By 2030, the fossil fuel share of power sector investment will predominantly focus on gas power plants that can also be operated with hydrogen.
Because renewable energy has no fuel costs, other than biomass, the cumulative fuel cost savings in the 2.0 °C Scenario will reach a total of $2900 billion in 2050, equivalent to $81 billion per year. Therefore, the total fuel cost savings will be equivalent to 110% of the total additional investments compared to the 5.0 °C Scenario. The fuel cost savings in the 1.5 °C Scenario will add up to $3100 billion, or $86 billion per year.

8.9.1.5 The Middle East: Energy Supply for Heating

The final energy demand for heating will increase by 139% in the 5.0 °C Scenario, from 7100 PJ/year in 2015 to 17,100 PJ/year in 2050. Energy efficiency measures will help to reduce the energy demand for heating by 59% in 2050 in the 2.0 °C Scenario, relative to the 5.0 °C case, and by 62% in the 1.5 °C Scenario. Today, renewables supply almost none of the Middle East’s final energy demand for heating. Renewable energy will provide 23% of the Middle East’s total heat demand in 2030 in the 2.0 °C Scenario and 25% in the 1.5 °C Scenario. In both scenarios, renewables will provide 100% of the total heat demand in 2050.
Figure 8.57 shows the development of different technologies for heating in the Middle East over time, and Table 8.51 provides the resulting renewable heat supply for all scenarios. The growing use of solar, geothermal, and environmental heat will supplement electrification, with solar heat becoming the main direct renewable heat source in the 2.0 °C Scenario and 1.5 °C Scenario.
Table 8.51
Middle East: development of renewable heat supply in the scenarios (excluding the direct use of electricity)
in PJ/year
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
20
56
86
169
291
2.0 °C
20
101
132
200
196
1.5 °C
20
92
124
183
155
Solar heating
5.0 °C
8
92
284
778
1113
2.0 °C
8
404
932
1535
1961
1.5 °C
8
393
909
1475
1619
Geothermal heat and heat pumps
5.0 °C
0
0
0
0
0
2.0 °C
0
118
232
565
1387
1.5 °C
0
115
226
540
1057
Hydrogen
5.0 °C
0
0
0
0
0
2.0 °C
0
0
51
488
946
1.5 °C
0
0
48
828
915
Total
5.0 °C
28
149
370
947
1404
2.0 °C
28
624
1346
2788
4489
1.5 °C
28
601
1307
3025
3746
Heat from renewable hydrogen will further reduce the dependence on fossil fuels in both scenarios. Hydrogen consumption in 2050 will be around 950 PJ/year in the 2.0 °C Scenario and 920 PJ/year in the 1.5 °C Scenario. The direct use of electricity for heating will also increase by a factor of 9–10 between 2015 and 2050, and its final energy share will be 36% in 2050 in the 2.0 °C Scenario and 43% in the 1.5 °C Scenario (Fig. 8.57).

8.9.1.6 The Middle East: Future Investments in the Heating Sector

The roughly estimated investments in renewable heating technologies to 2050 will amount to less than $440 billion in the 2.0 °C Scenario (including investments for plant replacement after their economic lifetimes), or approximately $12 billion per year. The largest share of investments in the Middle East is assumed to be for heat pumps (more than $200 billion), followed by solar collectors and geothermal heat use. The 1.5 °C Scenario assumes an even faster expansion of renewable technologies. However, the lower heat demand (compared with the 2.0 °C Scenario) will result in a lower average annual investment of around $10 billion per year (Table 8.52, Fig. 8.58).
Table 8.52
Middle East: installed capacities for renewable heat generation in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
4
10
14
25
38
2.0 °C
4
13
15
18
14
1.5 °C
4
12
15
17
13
Geothermal
5.0 °C
0
0
0
0
0
2.0 °C
0
2
8
19
30
1.5 °C
0
2
8
18
35
Solar heating
5.0 °C
1
17
51
139
198
2.0 °C
1
72
142
217
252
1.5 °C
1
71
139
209
206
Heat pumps
5.0 °C
0
0
0
0
0
2.0 °C
0
12
17
43
122
1.5 °C
0
12
17
42
76
Totala
5.0 °C
6
26
65
164
237
2.0 °C
6
99
183
297
418
1.5 °C
6
96
178
286
330
a Excluding direct electric heating

8.9.1.7 The Middle East: transport

Energy demand in the transport sector in the Middle East is expected to increase in the 5.0 °C Scenario by 133%, from around 5700 PJ/year in 2015 to 13,300 PJ/year in 2050. In the 2.0 °C Scenario, assumed technical, structural, and behavioural changes will save 67% (8860 PJ/year) by 2050 compared with the 5.0 °C Scenario. Additional modal shifts, technology switches, and a reduction in the transport demand will lead to even higher energy savings in the 1.5 °C Scenario of 79% (or 10,400 PJ/year) in 2050 compared with the 5.0 °C case (Table 8.53, Fig. 8.59).
Table 8.53
Middle East: projection of transport energy demand by mode in the scenarios
in PJ/year
Case
2015
2025
2030
2040
2050
Rail
5.0 °C
184
38
48
65
75
2.0 °C
184
64
103
169
157
1.5 °C
184
89
117
161
194
Road
5.0 °C
5425
6613
7802
10,999
12,992
2.0 °C
5425
5928
5732
4510
4194
1.5 °C
5425
5246
4528
2899
2618
Domestic aviation
5.0 °C
57
83
103
136
146
2.0 °C
57
60
57
47
37
1.5 °C
57
57
52
36
28
Domestic navigation
5.0 °C
0
0
0
0
0
2.0 °C
0
0
0
0
0
1.5 °C
0
0
0
0
0
Total
5.0 °C
5666
6734
7954
11,200
13,213
2.0 °C
5666
6051
5893
4726
4388
1.5 °C
5666
5392
4697
3096
2840
By 2030, electricity will provide 4% (70 TWh/year) of the transport sector’s total energy demand in the 2.0 °C Scenario, whereas in 2050, the share will be 39% (480 TWh/year). In 2050, up to 620 PJ/year of hydrogen will be used in the transport sector as a complementary renewable option. In the 1.5 °C Scenario, the annual electricity demand will be 350 TWh in 2050. The 1.5 °C Scenario also assumes a hydrogen demand of 450 PJ/year by 2050.
Biofuel use is limited in the 2.0 °C Scenario to a maximum of 370 PJ/year. Therefore, around 2030, synthetic fuels based on power-to-liquid will be introduced, with a maximum consumption of 1670 PJ/year in 2050. Biofuel use in the 1.5 °C Scenario with have a maximum of 430 PJ/year. The maximum synthetic fuel demand will amount to 920 PJ/year.

8.9.1.8 The Middle East: Development of CO2 Emissions

In the 5.0 °C Scenario, the Middle East’s annual CO2 emissions will increase by 76% from 1760 Mt. in 2015 to 3094 Mt. in 2050. The stringent mitigation measures in both alternative scenarios will cause the annual emissions to fall to 510 Mt. in 2040 in the 2.0 °C Scenario and to 220 Mt. in the 1.5 °C Scenario, with further reductions to almost zero by 2050. In the 5.0 °C case, the cumulative CO2 emissions from 2015 until 2050 will add up to 90 Gt. In contrast, in the 2.0 °C and 1.5 °C Scenarios, the cumulative emissions for the period from 2015 until 2050 will be 38 Gt and 31 Gt, respectively.
Therefore, the cumulative CO2 emissions will decrease by 58% in the 2.0 °C Scenario and by 66% in the 1.5 °C Scenario compared with the 5.0 °C case. A rapid reduction in annual emissions will occur in both alternative scenarios. In the 2.0 °C Scenario, this reduction will be greatest in ‘Industry’ followed by the ‘Power generation’ and ‘Transport’ sectors (Fig. 8.60).

8.9.1.9 The Middle East: Primary Energy Consumption

The levels of primary energy consumption in the three scenarios when the assumptions discussed above are taken into account are shown in Fig. 8.61. In the 2.0 °C Scenario, the primary energy demand will decrease by 16%, from around 30,300 PJ/year in 2015 to 25,400 PJ/year in 2050. Compared with the 5.0 °C Scenario, the overall primary energy demand will decrease by 59% by 2050 in the 2.0 °C Scenario (5.0 °C: 61,700 PJ in 2050). In the 1.5 °C Scenario, the primary energy demand will be even lower (22,300 PJ in 2050) because the final energy demand and conversion losses will be lower.
Both the 2.0 °C and 1.5 °C Scenarios aim to rapidly phase-out coal and oil. This will cause renewable energy to have a primary energy share of 18% in 2030 and 88% in 2050 in the 2.0 °C Scenario. In the 1.5 °C Scenario, renewables will have a primary energy share of more than 86% in 2050 (including non-energy consumption, which will still include fossil fuels). Nuclear energy will be phased-out in 2035 in both the 2.0 °C and the 1.5 °C Scenarios. The cumulative primary energy consumption of natural gas in the 5.0 °C case will add up to 830 EJ, the cumulative coal consumption to about 10 EJ, and the crude oil consumption to 630 EJ. In the 2.0 °C Scenario, the cumulative gas demand will amount to 330 EJ, the cumulative coal demand to 1 EJ, and the cumulative oil demand to 310 EJ. Even lower fossil fuel use will be achieved in the 1.5 °C Scenario: 280 EJ for natural gas, 0.9 EJ for coal, and 270 EJ for oil.

8.9.2 The Middle East: Power Sector Analysis

The Middle East has significant renewable energy potential. The region’s solar radiation is among the highest in the world and it has good wind conditions in coastal areas and in its mountain ranges. The electricity market is fragmented, and policies differ significantly. However, most countries are connected to their neighbours by transmission lines. Saudi Arabia, the geographic centre of the region, has connections to most neighbouring countries. Both the 2.0 °C Scenario and the 1.5 °C Scenario assume that the Middle East will remain a significant player in the energy market, moving from oil and gas to solar, and that it will play an important role in producing synthetic fuels and hydrogen for export.

8.9.2.1 The Middle East: Development of Power Plant Capacities

The overwhelming majority of fossil-fuel-based power generation in the Middle East is from gas-fired power plants. Both scenarios assume that this gas capacity (in GW) will remain on the same level until 2050, but will be converted to hydrogen. The annual market for solar PV must increase to 2.5 GW in 2020 and to 28.5 GW by 2030 in the 2.0 °C Scenario, and to 35 GW in the 1.5 °C Scenario. The onshore wind market must expand to 10 GW by 2025 in both scenarios. This represents a very ambitious target because the market for wind power plants in the Middle East has never been higher than 117 MW (GWEC 2018) (in 2015). Parts of the offshore oil and gas industry can be transitioned into an offshore wind industry. The total capacity assumed for the Middle East by 2050 is 20–25 GW under both scenarios. For comparison, the UK had an installed capacity for offshore wind of 6.8 GW and Germany of 5.4 GW in 2017 (GWEC 2018). The vast solar resources in the Middle East make it suitable for CSP plants—the total capacity by 2050 is calculated to be 252 GW (2.0 °C Scenario), equal to the gas power plant capacity in the Middle East in 2017 (Table 8.54).
Table 8.54
Middle East: average annual change in installed power plant capacity
Middle East – power generation: average annual change of installed capacity [GW/a]
2015–2025
2026–2035
2036–2050
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Hard coal
0.0
0.0
0.0
0.0
0.0
0.0
Lignite
0.0
0.0
0.0
0.0
0.0
0.0
Gas
1.5
7.0
1.9
6.2
−19.1
3.0
Hydrogen-gas
0.0
0.3
1.5
1.7
20.3
24.2
Oil/Diesel
−0.1
−4.0
−8.9
−8.1
−0.8
−0.5
Nuclear
−0.1
0.0
−0.1
−0.1
0.0
0.0
Biomass
0.2
0.3
0.2
0.1
0.2
0.0
Hydro
1.0
0.5
0.2
0.2
0.5
0.5
Wind (onshore)
6.5
19.3
28.3
35.5
14.7
7.6
Wind (offshore)
0.2
0.5
0.8
0.8
1.4
1.2
PV (roof top)
7.3
19.0
26.2
29.9
46.4
32.3
PV (utility scale)
2.4
6.3
8.7
10.0
15.5
10.8
Geothermal
0.6
0.8
1.1
1.1
1.0
0.6
Solar thermal power plants
1.3
5.4
13.1
20.3
11.4
3.7
Ocean energy
0.3
1.3
1.3
2.5
1.0
1.7
Renewable fuel based co-generation
0.0
0.0
0.1
0.1
0.0
0.0

8.9.2.2 Middle East: Utilization of Power-Generation Capacities

In 2015, the base year of the scenario calculations, the Middle East had less than 0.5% variable power generation. Table 8.55 shows the rapidly increasing shares of variable renewable power generation across the Middle East. Israel is included in the Middle East region (as opposed to the IEA region used for the long-term scenario) to reflect its current and possible future interconnection with the regional power system. The current interconnection capacity between all sub-regions is assumed to be 5%, increasing to 20% in 2030 and 25% in 2050. Dispatchable renewables will have a stable market share of around 15%–20% over the entire modelling period in the 2.0 °C Scenario and 15%–20% in the 1.5 °C Scenario.
Table 8.55
Middle East: power system shares by technology group
Power generation structure and interconnection
 
2.0 °C
1.5 °C
Middle East
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
Israel
2015
0%
12%
88%
5%
    
2030
41%
18%
41%
20%
46%
18%
36%
15%
2050
81%
18%
0%
25%
64%
15%
21%
20%
North-ME
2015
0%
12%
88%
5%
    
2030
50%
20%
30%
20%
55%
19%
26%
15%
2050
83%
17%
0%
25%
74%
15%
10%
20%
Saudi Arabia-ME
2015
0%
12%
88%
5%
    
2030
51%
17%
32%
20%
55%
17%
28%
15%
2050
83%
17%
0%
25%
72%
16%
12%
20%
UAE-ME
2015
0%
12%
88%
5%
    
2030
36%
20%
45%
20%
40%
20%
40%
15%
2050
76%
24%
0%
25%
53%
18%
28%
20%
East-ME
2015
0%
12%
88%
5%
    
2030
42%
20%
38%
20%
47%
21%
32%
15%
2050
80%
20%
0%
25%
63%
17%
20%
20%
Iraq-ME
2015
0%
12%
88%
5%
    
2030
60%
18%
21%
20%
65%
17%
18%
15%
2050
82%
18%
0%
25%
76%
16%
7%
20%
Iran-ME
2015
0%
12%
88%
5%
    
2030
57%
19%
24%
20%
62%
18%
21%
15%
2050
81%
19%
0%
25%
73%
17%
9%
20%
Middle East
2015
0%
12%
88%
     
2030
51%
19%
31%
 
56%
18%
27%
 
2050
81%
19%
0%
 
70%
16%
13%
 
Average capacity factors correspond to the results for the other world regions. Table 8.56 shows that the limited dispatchable fossil and nuclear generation will drop quickly, whereas the significant gas power plant capacity within the region can increase capacity factors to take over their load and reduce carbon emissions at an early stage. The calculation results are attributed to the assumed dispatch order, which prioritizes gas over coal and nuclear.
Table 8.56
Middle East: capacity factors by generation type
Utilization of variable and dispatchable power generation:
 
2015
2020
2020
2030
2030
2040
2040
2050
2050
Middle East
 
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Capacity factor – average
[%/yr]
52.6%
45%
43%
27%
24%
34%
21%
29%
25%
Limited dispatchable: fossil and nuclear
[%/yr]
31.1%
13%
13%
5%
2%
19%
3%
10%
5%
Limited dispatchable: renewable
[%/yr]
26.3%
34%
34%
47%
42%
50%
21%
28%
30%
Dispatchable: fossil
[%/yr]
52.9%
41%
40%
15%
10%
45%
8%
17%
16%
Dispatchable: renewable
[%/yr]
38.9%
83%
83%
66%
57%
43%
20%
36%
38%
Variable: renewable
[%/yr]
6.6%
12%
12%
24%
23%
27%
23%
29%
25%

8.9.2.3 The Middle East: Development of Load, Generation, and Residual Load

The Middle East is assumed to be one of the exporters of solar electricity into the EU, so the calculated solar installation capacities throughout the region will be significantly higher than required for self-supply.
Table 8.57 shows a negative residual load in almost all sub-regions for every year and in both scenarios. This is attributable to substantial oversupply, so the production of renewables is almost constantly higher than the demand. This electricity has been calculated as exports from the Middle East and imports to Europe.
Table 8.57
Middle East: load, generation, and residual load development
Power generation structure
 
2.0 °C
1.5 °C
Middle East
Max demand
Max generation
Max residual load
Max interconnection requirements
Max demand
Max generation
Max residual load
Max interconnection requirements
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
Israel
2020
11.5
11.0
−2.9
 
11.5
11.9
−2.9
 
2030
14.0
17.3
−1.8
5
14.3
19.9
−1.4
7
2050
29.7
62.7
−3.7
37
29.3
55.2
−10.3
36
North-ME
2020
33.7
25.7
−12.1
 
33.8
29.4
−11.6
 
2030
39.7
44.6
−12.1
17
40.6
52.6
−11.2
23
2050
83.6
196.5
−11.5
124
77.5
172.8
−19.9
115
Saudi Arabia-ME
2020
59.5
45.9
−3.4
 
59.6
45.4
−2.4
 
2030
72.4
85.9
2.3
11
75.1
99.8
5.6
19
2050
173.6
380.9
−21.7
229
168.6
334.0
−59.4
225
UAE-ME
2020
21.2
29.8
−0.4
 
21.2
29.6
1.3
 
2030
26.0
44.1
2.2
16
27.0
50.7
3.4
20
2050
62.2
120.2
−7.4
65
61.3
105.4
−23.4
67
East-Middle East
2020
12.0
23.3
−2.5
 
12.0
22.6
−2.6
 
2030
14.8
31.3
−1.2
18
15.1
35.9
−0.8
22
2050
32.5
63.4
−3.9
35
31.2
55.6
−7.2
32
Iraq-ME
2020
20.1
13.8
−7.6
 
20.2
13.8
−7.3
 
2030
26.0
30.4
−7.4
12
26.8
35.8
−8.1
17
2050
64.3
137.5
−7.8
81
57.7
119.9
−20.0
82
Iran-ME
2020
49.4
56.9
−12.2
 
49.4
56.4
−12.2
 
2030
76.1
88.1
−14.3
26
78.3
103.9
−11.4
37
2050
188.5
399.1
−22.7
233
174.3
348.0
−40.5
214
The Middle East will be one of three dedicated renewable energy export regions. These exports are in the form of renewable fuels and electricity. The [R]E 24/7 model does not calculate electricity exchange in 1 h steps between the world regions, and therefore the amount of electricity exported accumulates from year to year. The load curves for the Middle East and European regions are not calculated separately.
Table 8.58 provides an overview of the calculated storage and dispatch power requirements by sub-region in the Middle East. Iran and Saudi Arabia West Africa will require the highest storage capacity, due to the very high share of solar PV systems in residential areas. Like the Africa, the Middle East is one of the global renewable fuel production regions and it is assumed that all sub-regions of the Middle East have equal amounts of energy export potential. However, a more detailed examination of export energy is required, which is beyond the scope of this project.
Table 8.58
Middle East: storage and dispatch service requirements
Storage and dispatch
 
2.0 °C
1.5 °C
Middle East
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
Israel
2020
0
0
0
0
0
0
0
0
0
0
2030
29
0
10
10
0
226
0
36
36
8
2050
24,725
11
379
390
0
14,244
11
320
331
529
North-ME
2020
0
0
0
0
0
0
0
0
0
0
2030
1164
0
193
194
0
3596
1
355
356
20
2050
109,498
32
1409
1441
0
84,974
31
1434
1465
1193
Saudi Arabia
2020
0
0
0
0
0
0
0
0
0
0
2030
3366
1
513
514
0
11,457
2
900
902
39
2050
231,140
73
2685
2757
0
159,949
74
2429
2503
2624
UAE
2020
0
0
0
0
0
0
0
0
0
0
2030
9
0
5
5
0
233
0
45
45
17
2050
35,463
24
679
703
0
17,093
23
507
531
1075
East-ME
2020
0
0
0
0
0
0
0
0
0
0
2030
2
0
3
3
0
117
0
29
29
9
2050
21,916
12
410
421
0
12,920
12
350
362
490
Iraq
2020
0
0
0
0
0
0
0
0
0
0
2030
3941
0
330
330
0
8185
0
446
447
10
2050
87,343
18
892
910
0
74,252
17
920
937
684
Iran
2020
0
0
0
0
0
0
0
0
0
0
2030
9576
1
831
833
0
21,130
1
1127
1128
30
2050
242,799
50
2508
2558
0
190,790
47
2443
2490
2036
Middle East
2020
0
0
0
0
0
0
0
0
0
0
2030
18,088
4
1886
1890
0
44,945
4
2939
2943
132
2050
752,882
218
8962
9180
0
554,222
215
8404
8618
8630

8.10 Eastern Europe/Eurasia

8.10.1 Eastern Europe/Eurasia: Long-Term Energy Pathways

8.10.1.1 Eastern Europe/Eurasia: Final Energy Demand by Sector

The future development pathways for Eastern Europe/Eurasia’s final energy demand when the assumptions on population growth, GDP growth, and energy intensity are combined are shown in Fig. 8.62 for the 5.0 °C, 2.0 °C, and 1.5 °C Scenarios. In the 5.0 °C Scenario, the total final energy demand will increase by 45%, from the current 25,500 PJ/year to 37,000 PJ/year in 2050. In the 2.0 °C Scenario, the final energy demand will decrease by 25% compared with current consumption and will reach 19,100 PJ/year by 2050. The final energy demand in the 1.5 °C Scenario will reach 17,800 PJ, 30% below the 2015 level. In the 1.5 °C Scenario, the final energy demand in 2050 will be 7% lower than in the 2.0 °C Scenario. The electricity demand for ‘classical’ electrical devices (without power-to-heat or e-mobility) will increase from 910 TWh/year in 2015 to 1000 TWh/year (2.0 °C) or 940 TWh/year (1.5 °C) by 2050. Compared with the 5.0 °C case (1600 TWh/year in 2050), the efficiency measures in the 2.0 °C and 1.5 °C Scenarios will save a maximum of 600 TWh/year and 660 TWh/year, respectively.
Electrification will lead to a significant increase in the electricity demand by 2050. In the 2.0 °C Scenario, the electricity demand for heating will be approximately 700 TWh/year due to electric heaters and heat pumps, and in the transport sector, the electricity demand will be approximately 2300 TWh/year due to increased electric mobility. The generation of hydrogen (for transport and high-temperature process heat) and the manufacture of synthetic fuels (mainly for transport) will add an additional power demand of 2300 TWh/year. Therefore, the gross power demand will rise from 1700 TWh/year in 2015 to 4900 TWh/year in 2050 in the 2.0 °C Scenario, 88% higher than in the 5.0 °C case. In the 1.5 °C Scenario, the gross electricity demand will increase to a maximum of 4800 TWh/year in 2050.
Efficiency gains could be even larger in the heating sector than in the electricity sector. In the 2.0 °C and 1.5 °C Scenarios, a final energy consumption equivalent to more than 10,700 PJ/year is avoided by 2050 compared with the 5.0 °C Scenario through efficiency gains.

8.10.1.2 Eastern Europe/Eurasia: Electricity Generation

The development of the power system is characterized by a dynamically growing renewable energy market and an increasing proportion of total power from renewable sources. By 2050, 100% of the electricity produced in Eastern Europe/Eurasia will come from renewable energy sources in the 2.0 °C Scenario. ‘New’ renewables—mainly wind, solar, and geothermal energy—will contribute 75% of the total electricity generation. Renewable electricity’s share of the total production will be 55% by 2030 and 84% by 2040. The installed capacity of renewables will reach about 560 GW by 2030 and 1900 GW by 2050. The share of renewable electricity generation in 2030 in the 1.5 °C Scenario is assumed to be 66%. In the 1.5 °C Scenario, the generation capacity from renewable energy will be approximately 1870 GW in 2050.
Table 8.59 shows the development of different renewable technologies in Eastern Europe/Eurasia over time. Figure 8.63 provides an overview of the overall power-generation structure in Eastern Europe/Eurasia. From 2020 onwards, the continuing growth of wind and PV, up to 740 GW and 820 GW, respectively, will be complemented by up to 30 GW of solar thermal generation, as well as limited biomass, geothermal, and ocean energy, in the 2.0 °C Scenario. Both the 2.0 °C Scenario and 1.5 °C Scenario will lead to a high proportion of variable power generation (PV, wind, and ocean) of 28% and 32%, respectively, by 2030, and 62% and 61%, respectively, by 2050.
Table 8.59
Eastern Europe/Eurasia: development of renewable electricity-generation capacity in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Hydro
5.0 °C
98
107
112
123
136
2.0 °C
98
107
112
115
116
1.5 °C
98
107
112
115
116
Biomass
5.0 °C
1
4
6
9
14
2.0 °C
1
21
45
64
96
1.5 °C
1
40
74
86
109
Wind
5.0 °C
6
9
10
17
23
2.0 °C
6
70
176
469
744
1.5 °C
6
74
196
531
697
Geothermal
5.0 °C
0
1
1
2
4
2.0 °C
0
5
12
38
71
1.5 °C
0
7
21
46
71
PV
5.0 °C
4
5
6
8
10
2.0 °C
4
108
209
502
817
1.5 °C
4
132
294
678
821
CSP
5.0 °C
0
0
0
0
0
2.0 °C
0
0
1
16
33
1.5 °C
0
0
1
22
34
Ocean
5.0 °C
0
0
0
0
0
2.0 °C
0
0
1
13
19
1.5 °C
0
0
1
13
19
Total
5.0 °C
108
126
136
159
186
2.0 °C
108
310
555
1216
1896
1.5 °C
108
360
698
1492
1869

8.10.1.3 Eastern Europe/Eurasia: Future Costs of Electricity Generation

Figure 8.64 shows the development of the electricity-generation and supply costs over time, including the CO2 emission costs, in all scenarios. The calculated electricity-generation costs in 2015 (referring to full costs) were around 4.5 ct/kWh. In the 5.0 °C case, the generation costs will increase until 2050, when they reach 10 ct/kWh. In the 2.0 °C Scenario, the generation costs will increase until 2050, when they will reach 8.6 ct/kWh. In the 1.5 °C Scenario, they will increase to 9.3 ct/kWh, and then drop to 8.8 ct/kWh by 2050. In the 2.0 °C Scenario, the generation costs in 2050 will be 1.4 ct/kWh lower than in the 5.0 °C case. In the 1.5 °C Scenario, the generation costs in 2050 will be 1.1 ct/kWh lower than in the 5.0 °C case. Note that these estimates of generation costs do not take into account integration costs such as power grid expansion, storage, or other load-balancing measures.
In the 5.0 °C case, the growth of demand and increasing fossil fuel prices will cause the total electricity supply costs to rise from today’s $120 billion/year to more than $320 billion/year in 2050. In both alternative scenarios, the total supply costs will be $490 billion/year in 2050. The long-term costs of electricity supply will be more than 54% higher in the 2.0 °C Scenario than in the 5.0 °C Scenario as a result of the estimated generation costs and the electrification of heating and mobility. Further electrification and synthetic fuel generation in the 1.5 °C Scenario will result in total power generation costs that are 55% higher than in the 5.0 °C case.
Compared with these results, the generation costs when the CO2 emission costs are not considered will increase in the 5.0 °C case to 6.9 ct/kWh. In the 2.0 °C Scenario, the generation costs will increase continuously until 2050, when they reach 8.6 ct/kWh. They will increase to 8.8 ct/kWh in the 1.5 °C Scenario. In the 2.0 °C Scenario, the generation costs will reach a maximum, at 1.7 ct/kWh higher than in the 5.0 °C case, and this will occur in 2050. In the 1.5 °C Scenario, the maximum difference in generation costs compared with the 5.0 °C case will be 2.6 ct/kWh in 2040. The generation costs in 2050 will still be 2 ct/kWh higher than in the 5.0 °C case. If the CO2 costs are not considered, the total electricity supply costs in the 5.0 °C case will rise to about $240 billion in 2050.

8.10.1.4 Eastern Europe/Eurasia: Future Investments in the Power Sector

An investment of around $3600 billion will be required for power generation between 2015 and 2050 in the 2.0 °C Scenario—including additional power plants for the production of hydrogen and synthetic fuels and investments in plant replacement at the end of their economic lives. This value is equivalent to approximately $100 billion per year on average, and is $2660 billion more than in the 5.0 °C case ($940 billion). An investment of around $3770 billion for power generation will be required between 2015 and 2050 in the 1.5 °C Scenario. On average, this is an investment of $105 billion per year. In the 5.0 °C Scenario, the investment in conventional power plants will be around 40% of the total cumulative investments, whereas approximately 60% will be invested in renewable power generation and co-generation (Fig. 8.65).
However, in the 2.0 °C (1.5 °C) scenario, Eastern Europe/Eurasia will shift almost 97% (98%) of its entire investments to renewables and co-generation. By 2030, the fossil fuel share of the power sector investments will predominantly focus on gas power plants that can also be operated with hydrogen.
Because renewable energy has no fuel costs, other than biomass, the cumulative fuel cost savings in the 2.0 °C Scenario will reach a total of $1730 billion in 2050, equivalent to $48 billion per year. Therefore, the total fuel cost savings will be equivalent to 70% of the total additional investments compared to the 5.0 °C Scenario. The fuel cost savings in the 1.5 °C Scenario will add up to $1900 billion, or $53 billion per year.

8.10.1.5 Eastern Europe/Eurasia: Energy Supply for Heating

The final energy demand for heating will increase in the 5.0 °C Scenario by 46%, from 15,700 PJ/year in 2015 to 22,900 PJ/year in 2050. Energy efficiency measures will help to reduce the energy demand for heating by 47% in 2050 in both alternative scenarios. Today, renewables supply around 4% of Eastern Europe/Eurasia’s final energy demand for heating, with the main contribution from biomass. Renewable energy will provide 29% of Eastern Europe/Eurasia’s total heat demand in 2030 in the 2.0 °C Scenario and 42% in the 1.5 °C Scenario. In both scenarios, renewables will provide 100% of the total heat demand in 2050.
Figure 8.66 shows the development of different technologies for heating in Eastern Europe/Eurasia over time, and Table 8.60 provides the resulting renewable heat supply for all scenarios. Until 2030, biomass will remain the main contributor. In the long term, the growing use of solar, geothermal, and environmental heat will lead to a biomass share of 28% in both alternative scenarios.
Table 8.60
Eastern Europe/Eurasia: development of renewable heat supply in the scenarios (excluding the direct use of electricity)
in PJ/year
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
537
810
873
1005
1164
2.0 °C
537
1604
2199
2971
2819
1.5 °C
537
1869
2684
2734
2722
Solar heating
5.0 °C
5
10
13
24
41
2.0 °C
5
277
706
1560
1662
1.5 °C
5
351
768
1395
1620
Geothermal heat and heat pumps
5.0 °C
6
9
11
15
21
2.0 °C
6
265
780
2314
3493
1.5 °C
6
410
1163
2434
3393
Hydrogen
5.0 °C
0
0
0
0
0
2.0 °C
0
42
152
795
1934
1.5 °C
0
155
494
1344
2032
Total
5.0 °C
548
829
897
1044
1226
2.0 °C
548
2187
3837
7640
9908
1.5 °C
548
2786
5110
7906
9767
Heat from renewable hydrogen will further reduce the dependence on fossil fuels in both scenarios. Hydrogen consumption in 2050 will be around 1900 PJ/year in the 2.0 °C Scenario and 2000 PJ/year in the 1.5 °C Scenario.
The direct use of electricity for heating will also increases by a factor of 2.7 between 2015 and 2050, and its final energy share will be 18% in 2050 in the 2.0 °C Scenario and 19% in the 1.5 °C Scenario.

8.10.1.6 Eastern Europe/Eurasia: Future Investments in the Heating Sector

The roughly estimated investment in renewable heating technologies up to 2050 will amount to around $1070 billion in the 2.0 °C Scenario (including investments in plant replacement after their economic lifetimes), or approximately $30 billion per year. The largest share of the investments in Eastern Europe/Eurasia is assumed to be for heat pumps (around $490 billion), followed by solar collectors and biomass technologies. The 1.5 °C Scenario assumes an even faster expansion of renewable technologies. However, the lower heat demand (compared with the 2.0 °C Scenario) will result in a lower average annual investment of around $29 billion per year (Table 8.61, Fig. 8.67).
Table 8.61
Eastern Europe/Eurasia: installed capacities for renewable heat generation in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
107
150
157
169
183
2.0 °C
107
230
249
263
172
1.5 °C
107
241
252
230
162
Geothermal
5.0 °C
0
0
0
1
1
2.0 °C
0
14
26
64
61
1.5 °C
0
12
30
52
54
Solar heating
5.0 °C
1
2
3
5
9
2.0 °C
1
56
145
330
359
1.5 °C
1
74
163
300
352
Heat pumps
5.0 °C
1
1
2
2
3
2.0 °C
1
25
64
184
248
1.5 °C
1
33
76
175
236
Totala
5.0 °C
109
154
162
177
196
2.0 °C
109
325
483
841
839
1.5 °C
109
361
522
758
805
a Excluding direct electric heating

8.10.1.7 Eastern Europe/Eurasia: Transport

Energy demand in the transport sector in Eastern Europe/Eurasia is expected to increase in the 5.0 °C Scenario by 34%, from around 6000 PJ/year in 2015 to 8000 PJ/year in 2050. In the 2.0 °C Scenario, assumed technical, structural, and behavioural changes will save 48% (3840 PJ/year) by 2050 compared with the 5.0 °C Scenario. Additional modal shifts, technology switches, and a reduction in the transport demand will lead to even higher energy savings in the 1.5 °C Scenario of 62% (or 4970 PJ/year) in 2050 compared with the 5.0 °C case (Table 8.62, Fig. 8.68).
Table 8.62
Eastern Europe/Eurasia: projection of transport energy demand by mode in the scenarios
in PJ/year
Case
2015
2025
2030
2040
2050
Rail
5.0 °C
434
498
528
599
674
2.0 °C
434
509
544
646
712
1.5 °C
434
449
470
620
796
Road
5.0 °C
3873
4321
4680
5181
5319
2.0 °C
3873
4336
4403
3923
3195
1.5 °C
3873
3593
2963
2346
2016
Domestic aviation
5.0 °C
232
336
403
482
471
2.0 °C
232
247
228
188
150
1.5 °C
232
237
207
146
114
Domestic navigation
5.0 °C
34
35
36
38
40
2.0 °C
34
35
36
38
40
1.5 °C
34
35
36
38
40
Total
5.0 °C
4573
5191
5647
6301
6504
2.0 °C
4573
5127
5210
4795
4097
1.5 °C
4573
4313
3677
3150
2966
By 2030, electricity will provide 14% (240 TWh/year) of the transport sector’s total energy demand in the 2.0 °C Scenario, whereas in 2050, the share will be 54% (630 TWh/year). In 2050, up to 410 PJ/year of hydrogen will be used in the transport sector as a complementary renewable option. In the 1.5 °C Scenario, the annual electricity demand will be 510 TWh in 2050. The 1.5 °C Scenario also assumes a hydrogen demand of 330 PJ/year by 2050.
Biofuel use is limited in the 2.0 °C Scenario to a maximum of 720 PJ/year Therefore, around 2030, synthetic fuels based on power-to-liquid will be introduced, with a maximum amount of 880 PJ/year in 2050. With the lower overall energy demand in transport, biofuel use will also be reduced in the 1.5 °C Scenario to a maximum of 700 PJ/year The maximum synthetic fuel demand will amount to 540 PJ/year.

8.10.1.8 Eastern Europe/Eurasia: Development of CO2 Emissions

In the 5.0 °C Scenario, Eastern Europe/Eurasia’s annual CO2 emissions will increase by 14%, from 2420 Mt. in 2015 to 2768 Mt. in 2050. The stringent mitigation measures in both alternative scenarios will cause the annual emissions to fall to 590 Mt. in 2040 in the 2.0 °C Scenario and to 340 Mt. in the 1.5 °C Scenario, with further reductions to almost zero by 2050. In the 5.0 °C case, the cumulative CO2 emissions from 2015 until 2050 will add up to 95 Gt. In contrast, in the 2.0 °C and 1.5 °C Scenarios, the cumulative emissions for the period from 2015 until 2050 will be 45 Gt and 36 Gt, respectively.
Therefore, the cumulative CO2 emissions will decrease by 53% in the 2.0 °C Scenario and by 62% in the 1.5 °C Scenario compared with the 5.0 °C case. A rapid reduction in annual emissions will occur in both alternative scenarios. In the 2.0 °C Scenario, this reduction will be greatest in ‘Power generation’, followed by the ‘Residential and other’ and ‘Industry’ sectors (Fig. 8.69).

8.10.1.9 Eastern Europe/Eurasia: Primary Energy Consumption

The levels of primary energy consumption in the three scenarios when the assumptions discussed above are taken into account are shown in Fig. 8.70. In the 2.0 °C Scenario, the primary energy demand will decrease by 25%, from around 46,000 PJ/year in 2015 to 34,600 PJ/year in 2050. Compared with the 5.0 °C Scenario, the overall primary energy demand will decrease by 40% by 2050 in the 2.0 °C Scenario (5.0 °C: 57,700 PJ in 2050). In the 1.5 °C Scenario, the primary energy demand will be even lower (33,600 PJ in 2050) because the final energy demand and conversion losses will be lower.
Both the 2.0 °C and 1.5 °C Scenarios aim to rapidly phase-out coal and oil. This will cause renewable energy to have a primary energy share of 26% in 2030 and 91% in 2050 in the 2.0 °C Scenario. In the 1.5 °C Scenario, renewables will have a primary energy share of more than 90% in 2050 (including non-energy consumption, which will still include fossil fuels). Nuclear energy will be phased-out by 2040 in both the 2.0 °C Scenario and 1.5 °C Scenario. The cumulative primary energy consumption of natural gas in the 5.0 °C case will add up to 840 EJ, the cumulative coal consumption to about 290 EJ, and the crude oil consumption to 340 EJ. In contrast, in the 2.0 °C Scenario, the cumulative gas demand will amount to 510 EJ, the cumulative coal demand to 100 EJ, and the cumulative oil demand to 160 EJ. Even lower fossil fuel use will be achieved in the 1.5 °C Scenario: 450 EJ for natural gas, 70 EJ for coal, and 120 EJ for oil.

8.10.2 Eastern Europe/Eurasia: Power Sector Analysis

This region sits between the strong economic hubs of the EU, China, and India. Russia, by far the largest country within this region, is an important producer of oil and gas, and supplies all surrounding countries. Therefore, Eurasia will be key in future energy developments. Its renewable energy industry is among the smallest in the world, but recent developments indicate growth in both the wind (WPM 3-2018) and solar industries (PVM 3-2018).

8.10.2.1 Eurasia: Development of Power Plant Capacities—2.0 °C Scenario

The northern part of Eurasia and Mongolia have significant wind potential, whereas the southern part, especially in Central Asia, has substantial possibilities for utility-scale solar power plants—both for solar PV and concentrated solar. The annual market for solar PV and onshore wind—as for all other renewable power generation technologies—must develop from a very low MW range in 2017 to a GW market by 2025. Besides solar PV and onshore wind, bioenergy has significant potential in Eurasia, especially in the European part, Russia, and the agricultural regions around the Caspian Sea (Table 8.63).
Table 8.63
Eurasia: average annual change in installed power plant capacity
Eurasia power generation: average annual change of installed capacity [GW/a]
2015–2025
2026–2035
2036–2050
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Hard coal
−1
−6
−6
−4
0
0
Lignite
−3
−4
−2
−1
0
0
Gas
4
1
0
−2
−17
−5
Hydrogen-gas
0
2
2
4
20
17
Oil/Diesel
−2
−2
−1
−1
0
0
Nuclear
−2
−3
−2
−4
−1
0
Biomass
3
8
3
5
4
2
Hydro
2
1
1
1
0
0
Wind (onshore)
7
20
26
28
24
21
Wind (offshore)
1
3
6
6
11
8
PV (roof top)
9
25
21
32
31
22
PV (utility scale)
3
8
7
11
10
7
Geothermal
1
3
2
4
4
3
Solar thermal power plants
0
0
1
1
1
2
Ocean energy
0
0
1
1
1
1
Renewable fuel based co-generation
2
7
4
7
5
3

8.10.2.2 Eurasia: Utilization of Power-Generation Capacities

Variable power generation starts at almost zero, but increases rapidly to over 30% in most sub-regions of Eurasia, as shown in Table 8.64.
Table 8.64
Eurasia: power system shares by technology group
Power generation structure and interconnection
 
2.0 °C
1.5 °C
Eurasia
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
Eastern Europe
2015
1%
35%
63%
5%
    
2030
37%
45%
18%
10%
41%
46%
13%
10%
2050
70%
22%
7%
20%
66%
24%
10%
20%
Russia
2015
1%
35%
63%
5%
    
2030
35%
43%
22%
5%
39%
47%
14%
5%
2050
68%
24%
8%
5%
64%
26%
10%
5%
Kazakhstan
2015
2%
35%
63%
5%
    
2030
44%
42%
14%
5%
49%
42%
9%
5%
2050
80%
16%
4%
5%
77%
18%
5%
5%
Mongolia
2015
2%
35%
63%
5%
    
2030
43%
43%
13%
5%
48%
43%
10%
5%
2050
74%
20%
6%
10%
71%
22%
8%
10%
West Caspian Sea
2015
1%
35%
63%
5%
    
2030
43%
41%
16%
5%
47%
40%
12%
5%
2050
77%
17%
6%
10%
72%
19%
9%
10%
East Caspian Sea
2015
1%
35%
63%
5%
    
2030
37%
44%
19%
5%
41%
45%
14%
5%
2050
71%
22%
7%
10%
67%
24%
10%
10%
Central Asia
2015
0%
35%
64%
5%
    
2030
18%
50%
31%
5%
23%
50%
27%
5%
2050
43%
39%
18%
5%
38%
37%
26%
5%
Eurasia
2015
1%
35%
63%
     
2030
36%
43%
21%
 
40%
46%
14%
 
2050
69%
23%
7%
 
65%
25%
10%
 
Table 8.64 shows that dispatchable renewables will experience stable market conditions throughout the entire modelling period across the whole region. Both scenarios assume that the interconnections between Eastern Europe and Russia will increase significantly, whereas the power transmission capacities for Kazakhstan, Central Asia, the area around the Caspian Sea, and Mongolia will remain low due to geographic distances.
Compared with other world regions, it will take longer for the capacity factor of the limited dispatchable power plants to drop below economic viability, as shown in Table 8.65.
Table 8.65
Eurasia: capacity factors by generation type
Utilization of variable and dispatchable power generation:
 
2015
2020
2020
2030
2030
2040
2040
2050
2050
Eurasia
 
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Capacity factor – average
[%/yr]
36.8%
31%
40%
48%
47%
34%
34%
34%
34%
Limited dispatchable: fossil and nuclear
[%/yr]
43.8%
31%
30%
22%
18%
19%
0%
7%
4%
Limited dispatchable: renewable
[%/yr]
39.3%
42%
42%
57%
54%
60%
39%
39%
40%
Dispatchable: fossil
[%/yr]
27.6%
18%
17%
7%
6%
31%
8%
12%
15%
Dispatchable: renewable
[%/yr]
38.7%
48%
73%
73%
68%
41%
49%
50%
51%
Variable: renewable
[%/yr]
10.5%
11%
11%
40%
39%
25%
32%
32%
33%
Table 8.65. The capacity factor of variable renewables will rise by 2030, mainly due to increased deployment of wind and concentrated solar power with storage. The average capacity factor of the power-generation fleet will be around 35% by 2050 and will therefore be on the same level as it was 2015 in both scenarios.

8.10.2.3 Eurasia: Development of Load, Generation, and Residual Load

The modelling of both scenarios predicts small increases in interconnection beyond those assumed to occur by 2030 (see Table 8.64).
Table 8.64. However, after 2030, significant increases will be required by 2050, especially in Russia. The export of renewable electricity can also take place via existing gas pipelines with power-to-gas technologies. Between 2030 and 2050, the loads for all regions will double, due to the increased electrification of the heating, industry, and transport sectors (Table 8.66).
Table 8.66
Eurasia: load, generation, and residual load development
Power generation structure
 
2.0 °C
1.5 °C
Eurasia
Max demand
Max generation
Max residual load
Max interconnection requirements
Max demand
Max generation
Max residual load
Max interconnection requirements
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
Eastern Europe
2020
32.9
30.8
3.9
 
32.9
33.0
4.6
 
2030
38.1
45.0
12.4
0
40.8
56.2
14.2
1
2050
77.2
179.6
30.9
71
77.5
174.3
31.6
65
Russia
2020
172.7
95.8
83.6
 
172.7
100.6
81.8
 
2030
214.2
218.6
103.5
0
221.4
275.2
94.9
0
2050
428.3
887.6
191.7
268
429.2
859.0
194.4
235
Kazakhstan
2020
14.7
18.8
0.9
 
14.7
17.9
0.9
 
2030
17.9
18.6
8.3
0
18.9
23.1
7.7
0
2050
34.3
74.5
14.1
26
34.4
72.2
14.4
23
Mongolia
2020
1.7
2.0
0.1
 
1.7
2.0
0.1
 
2030
2.0
2.3
0.9
0
2.1
2.9
0.9
0
2050
3.7
8.5
1.2
4
3.7
8.4
1.2
3
West Caspian Sea
2020
10.7
6.2
4.6
 
10.7
6.9
4.2
 
2030
12.5
13.9
6.4
0
13.4
17.3
5.9
0
2050
24.3
55.8
9.8
22
24.4
54.1
10.0
20
East Caspian Sea
2020
21.6
7.5
14.2
 
21.6
7.8
13.8
 
2030
25.2
28.2
12.7
0
26.9
35.0
12.5
0
2050
50.0
113.4
18.6
45
50.2
109.7
19.1
40
Central Asia
2020
2.5
2.3
0.2
 
2.5
2.3
0.2
 
2030
6.0
5.8
2.8
0
6.7
6.5
3.0
0
2050
12.0
18.2
4.2
2
12.1
18.2
4.4
2
In Eurasia, the main storage technology for both scenarios is pumped hydro, whereas hydrogen plays a major role for the grid integration of variable generation (Table 8.67). Hydrogen production can also be used for load management, although not for short peak loads. Due to the technical and economic limitations associated with the increased interconnection via transmission lines and pumped hydro storage systems, curtailment will be higher than the scenario target (a maximum of 10% by 2050). For Eastern Europe, Kazakhstan, Mongolia, and the East Caspian Sea, the calculated curtailment will be between 10% and 14%, whereas the West Caspian Region will have the highest curtailment of 19% in the 2.0 °C Scenario and 17% in the 1.5 °C Scenario. Further research and optimization are required.
Table 8.67
Eurasia: storage and dispatch service requirements
Storage and dispatch
 
2.0 °C
1.5 °C
Eurasia
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
Eastern Europe
2020
0
0
0
0
0
0
0
0
0
0
2030
373
1
137
138
1720
1674
2
317
319
5920
2050
52,516
274
2626
2900
49,057
43,933
267
2303
2570
49,858
Russia
2020
0
0
0
0
0
0
0
0
0
0
2030
36
0
41
41
9711
2290
3
517
520
33,707
2050
147,854
1132
9342
10,474
282,100
123,490
1049
7895
8944
287,188
Kazakhstan
2020
0
0
0
0
0
0
0
0
0
0
2030
7
0
7
7
690
281
1
84
85
2223
2050
28,094
133
1444
1577
13,192
23,926
127
1271
1398
13,544
Mongolia
2020
0
0
0
0
0
0
0
0
0
0
2030
24
0
11
11
78
131
0
25
25
258
2050
3177
17
152
169
1997
2938
16
139
155
1971
West Caspian Sea
2020
0
0
0
0
0
0
0
0
0
0
2030
163
0
78
79
472
882
1
173
174
1558
2050
30,281
96
1207
1303
12,025
26,053
94
1120
1214
12,088
East Caspian Sea
2020
0
0
0
0
0
0
0
0
0
0
2030
134
0
65
65
1125
773
1
170
170
3759
2050
32,074
202
1785
1988
30,493
27,253
195
1580
1775
30,852
Central Asia
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
309
0
0
1
1
1090
2050
2495
39
211
250
12,181
2391
39
207
245
12,037
Eurasia Eastern Europe
2020
0
0
0
0
0
0
0
0
0
0
2030
736
2
339
341
14,106
6031
7
1287
1295
48,516
2050
296,490
1894
16,767
18,661
401,044
249,984
1788
14,515
16,303
407,537

8.11 Non-OECD Asia

8.11.1 Non-OECD Asia: Long-Term Energy Pathways

8.11.1.1 Non-OECD Asia: Final Energy Demand by Sector

The future development pathways for Non-OECD Asia’s final energy demand when the assumptions on population growth, GDP growth, and energy intensity are combined are shown in Fig. 8.71 for the 5.0 °C, 2.0 °C, and 1.5 °C Scenarios. In the 5.0 °C Scenario, the total final energy demand will increase by 111% from the current 24,500 PJ/year to 51,800 PJ/year in 2050. In the 2.0 °C Scenario, the final energy demand will increase at a much lower rate by 16% compared with current consumption, and will reach 28,300 PJ/year by 2050. The final energy demand in the 1.5 °C Scenario will reach 25,700 PJ, 5% above the 2015 demand. In the 1.5 °C Scenario, the final energy demand in 2050 will be 9% lower than in the 2.0 °C Scenario. The electricity demand for ‘classical’ electrical devices (without power-to-heat or e-mobility) will increase from 830 TWh/year in 2015 to 2480 TWh/year in 2050 in both alternative scenarios. Compared with the reference case (3880 TWh/year in 2050), the efficiency measures in the 2.0 °C and 1.5 °C scenarios will save 1400 TWh/year in 2050.
Electrification will lead to a significant increase in the electricity demand by 2050. In the 2.0 °C Scenario, the electricity demand for heating will be approximately 1500 TWh/year due to electric heaters and heat pumps, and in the transport sector, the electricity demand will be approximately 1700 TWh/year due to electric mobility. The generation of hydrogen (for transport and high-temperature process heat) and the manufacture of synthetic fuels (mainly for transport) will add an additional power demand of 1700 TWh/year. Therefore, the gross power demand will rise from 1400 TWh/year in 2015 to 6400 TWh/year in 2050 in the 2.0 °C Scenario, 33% higher than in the 5.0 °C case. In the 1.5 °C Scenario, the gross electricity demand will increase to a maximum of 6000 TWh/year in 2050.
The efficiency gains in the heating sector could be even larger than those in the electricity sector. In the 2.0 °C and 1.5 °C Scenarios, a final energy consumption equivalent to about 6900 PJ/year and 8100 PJ/year, respectively, will be avoided by 2050 compared with the 5.0 °C Scenario, through efficiency gains.

8.11.1.2 Non-OECD Asia: Electricity Generation

The development of the power system is characterized by a dynamically growing renewable energy market and an increasing proportion of total power from renewable sources. By 2050, 100% of the electricity produced in Non-OECD Asia will come from renewable energy sources in the 2.0 °C Scenario. ‘New’ renewables—mainly wind, solar, and geothermal energy—will contribute 87% of the total electricity generation. Renewable electricity’s share of the total production will be 59% by 2030 and 87% by 2040. The installed capacity of renewables will reach about 610 GW by 2030 and 2430 GW by 2050. The share of renewable electricity generation in 2030 in the 1.5 °C Scenario is assumed to be 74%. In the 1.5 °C Scenario, the generation capacity from renewable energy will be approximately 2320 GW in 2050.
Table 8.68 shows the development of different renewable technologies in Non-OECD Asia over time. Figure 8.72 provides an overview of the overall power-generation structure in Non-OECD Asia. From 2020 onwards, the continuing growth of wind and PV up to 635 GW and 1280 GW, respectively, will be complemented by up to 275 GW solar thermal generation, as well as limited biomass, geothermal, and ocean energy in the 2.0 °C Scenario. Both the 2.0 °C Scenario and 1.5 °C Scenario will lead to a high proportion of variable power generation (PV, wind, and ocean) of 34% and 48%, respectively, by 2030, and 64% and 66%, respectively, by 2050.
Table 8.68
Non-OECD Asia: development of renewable electricity-generation capacity in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Hydro
5.0 °C
63
85
124
151
183
2.0 °C
63
86
86
90
91
1.5 °C
63
86
86
90
91
Biomass
5.0 °C
7
10
17
22
31
2.0 °C
7
19
19
30
36
1.5 °C
7
19
20
31
39
Wind
5.0 °C
2
5
17
32
54
2.0 °C
2
53
148
389
635
1.5 °C
2
98
229
458
631
Geothermal
5.0 °C
3
4
6
8
10
2.0 °C
3
6
23
50
63
1.5 °C
3
7
26
47
54
PV
5.0 °C
3
9
26
44
70
2.0 °C
3
107
287
806
1282
1.5 °C
3
157
396
907
1256
CSP
5.0 °C
0
0
0
0
0
2.0 °C
0
5
45
134
275
1.5 °C
0
5
45
110
224
Ocean
5.0 °C
0
0
0
0
0
2.0 °C
0
0
2
20
50
1.5 °C
0
0
2
15
30
Total
5.0 °C
78
113
191
257
348
2.0 °C
78
276
610
1518
2432
1.5 °C
78
373
804
1658
2325

8.11.1.3 Non-OECD Asia: Future Costs of Electricity Generation

Figure 8.73 shows the development of the electricity-generation and supply costs over time, including the CO2 emission costs, in all scenarios. The calculated electricity generation costs in 2015 (referring to full costs) were around 5.2 ct/kWh. In the 5.0 °C case, the generation costs will increase until 2050, when they reach 11.7 ct/kWh. The generation costs will increase in the 2.0 °C Scenario until 2030, when they will reach 8.1 ct/kWh, and will drop to 6.3 ct/kWh by 2050. In the 1.5 °C Scenario, they will increase to 7.9 ct/kWh, and drop to 6.1 ct/kWh by 2050. In both alternative scenarios, the generation costs in 2050 will be around 5.5 ct/kWh lower than in the 5.0 °C case. Note that these estimates of generation costs do not take into account integration costs such as power grid expansion, storage, or other load-balancing measures.
In the 5.0 °C case, the growth in demand and increasing fossil fuel prices will cause the total electricity supply costs to rise from today’s $70 billion/year to more than $560 billion/year in 2050. In the 2.0 °C Scenario, the total supply costs will be $430 billion/year and in the 1.5 °C Scenario they will be $390 billion/year. The long-term costs for electricity supply will be more than 24% lower in the 2.0 °C Scenario than in the 5.0 °C Scenario as a result of the estimated generation costs and the electrification of heating and mobility. Further reductions in demand in the 1.5 °C Scenario will result in total power generation costs that are 30% lower than in the 5.0 °C case.
Compared with these results, the generation costs when the CO2 emission costs are not considered will increase in the 5.0 °C case to 7.4 ct/kWh. In the 2.0 °C Scenario, they still increase until 2030, when they reach 6.5 ct/kWh, and then drop to 6.3 ct/kWh by 2050. In the 1.5 °C Scenario, they will increase to 6.9 ct/kWh and then drop to 6.1 ct/kWh by 2050. In the 2.0 °C case, the generation costs will be maximum in 2050, and 1.1 ct/kWh lower than in the 5.0 °C, whereas they will be 1.3 ct/kWh in the 1.5 °C Scenario. If the CO2 costs are not considered, the total electricity supply costs in the 5.0 °C case will increase to about $360 billion/year in 2050.

8.11.1.4 Non-OECD Asia: Future Investments in the Power Sector

An investment of $4030 billion will be required for power generation between 2015 and 2050 in the 2.0 °C Scenario—including investment in additional power plants for the production of hydrogen and synthetic fuels and investments in plant replacement at the end of their economic lifetimes. This value is equivalent to approximately $112 billion per year on average, and is $2660 billion more than in the 5.0 °C case ($1370 billion). An investment of around $3950 billion for power generation will be required between 2015 and 2050 in the 1.5 °C Scenario. On average, this is an investment of $110 billion per year. In the 5.0 °C Scenario, the investment in conventional power plants will be around 55% of the total cumulative investments, whereas approximately 45% will be invested in renewable power generation and co-generation (Fig. 8.74).
However, in the 2.0 °C (1.5 °C) Scenario, Non-OECD Asia will shift almost 93% (95%) of its entire investment to renewables and co-generation. By 2030, the fossil fuel share of power sector investment will predominantly focus on gas power plants that can also be operated with hydrogen.
Because renewable energy has no fuel costs, other than biomass, the cumulative fuel cost savings in the 2.0 °C Scenario will reach a total of $2610 billion in 2050, equivalent to $73 billion per year. Therefore, the total fuel cost savings will be equivalent to 98% of the total additional investments compared to the 5.0 °C Scenario. The fuel cost savings in the 1.5 °C Scenario will add up to $2770 billion, or $77 billion per year.

8.11.1.5 Non-OECD Asia: Energy Supply for Heating

The final energy demand for heating will increase by 103% in the 5.0 °C scenario, from 10,800 PJ/year in 2015 to 21,900 PJ/year in 2050. Energy efficiency measures will help to reduce the energy demand for heating by 32% by 2050 in the 2.0 °C Scenario, relative to the 5.0 °C case, and by 37% in the 1.5 °C Scenario. Today, renewables supply around 43% of Non-OECD Asia’s final energy demand for heating, with the main contribution from biomass. Renewable energy will provide 57% of Non-OECD Asia’s total heat demand in 2030 in the 2.0 °C Scenario and 70% in the 1.5 °C Scenario. In both scenarios, renewables will provide 100% of the total heat demand in 2050.
Figure 8.75 shows the development of different technologies for heating in Non-OECD Asia over time, and Table 8.69 provides the resulting renewable heat supply for all scenarios. Up to 2030, biomass remains the main contributor. In the long term, the growing use of solar, geothermal, and environmental heat will lead to a biomass share of 40% in the 2.0 °C Scenario and 38% in the 1.5 °C Scenario. The heat from renewable hydrogen will further reduce the dependence on fossil fuels in both scenarios. The hydrogen consumption in 2050 will be around 900 PJ/year in the 2.0 °C Scenario and 1300 PJ/year in the 1.5 °C Scenario. The direct use of electricity for heating will also increase by a factor of 5-5.7 between 2015 and 2050. Energy for heating will have a final energy share of 34% in 2050 in the 2.0 °C Scenario and 32% in the 1.5 °C Scenario.
Table 8.69
Non-OECD Asia: development of renewable heat supply in the scenarios (excluding the direct use of electricity)
in PJ/year
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
4459
4800
4787
4878
4919
2.0 °C
4459
4680
4529
4232
3948
1.5 °C
4459
4772
4890
4054
3549
Solar heating
5.0 °C
4
12
33
70
128
2.0 °C
4
401
1129
2252
2723
1.5 °C
4
509
1221
2141
2389
Geothermal heat and heat pumps
5.0 °C
0
0
0
0
0
2.0 °C
0
141
740
1563
2410
1.5 °C
0
262
839
1587
2198
Hydrogen
5.0 °C
0
0
0
0
0
2.0 °C
0
0
0
454
862
1.5 °C
0
0
133
735
1274
Total
5.0 °C
4464
4811
4821
4948
5047
2.0 °C
4464
5222
6398
8501
9942
1.5 °C
4464
5542
7083
8516
9411

8.11.1.6 Non-OECD Asia: Future Investments in the Heating Sector

The roughly estimated investments in renewable heating technologies up to 2050 will amount to around $1120 billion in the 2.0 °C Scenario (including investments for the replacement of plants after their economic lifetimes), or approximately $31 billion per year. The largest share of investment in Non-OECD Asia is assumed to be for solar collectors (around $480 billion), followed by heat pumps and geothermal heat use. The 1.5 °C Scenario assumes an even faster expansion of renewable technologies. However, the lower heat demand (compared with the 2.0 °C Scenario) will results in a lower average annual investment of around $28 billion per year (Table 8.70, Fig. 8.76).
Table 8.70
Non-OECD Asia: installed capacities for renewable heat generation in the scenarios
 
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
1886
1925
1767
1610
1459
2.0 °C
1886
1850
1557
1150
821
1.5 °C
1886
1829
1693
1084
713
Geothermal
5.0 °C
0
0
0
0
0
2.0 °C
0
4
18
51
73
1.5 °C
0
4
15
44
64
Solar heating
5.0 °C
1
3
10
20
37
2.0 °C
1
114
321
639
772
1.5 °C
1
145
349
609
678
Heat pumps
5.0 °C
0
0
0
0
0
2.0 °C
0
13
58
103
159
1.5 °C
0
27
70
110
144
Totala
5.0 °C
1888
1928
1777
1631
1496
2.0 °C
1888
1981
1954
1944
1825
1.5 °C
1888
2004
2127
1847
1598
a Excluding direct electric heating

8.11.1.7 Non-OECD Asia: Transport

The energy demand in the transport sector in Non-OECD Asia is expected to increase in 2015 in the 5.0 °C Scenario from around 6500 PJ/year by 102% to 13,200 PJ/year in 2050. In the 2.0 °C Scenario, assumed technical, structural, and behavioural changes will save 63% (8320 PJ/year) by 2050 compared to the 5.0 °C Scenario. Additional modal shifts, technology switches, and a reduction in the transport demand will lead to even higher energy savings in the 1.5 °C Scenario of 73% (or 9660 PJ/year) by 2050 compared to the 5.0 °C case (Table 8.71, Fig. 8.77).
Table 8.71
Non-OECD Asia: projection of transport energy demand by mode in the scenarios
in PJ/year
Case
2015
2025
2030
2040
2050
Rail
5.0 °C
76
81
81
83
83
2.0 °C
76
96
116
158
183
1.5 °C
76
115
124
148
212
Road
5.0 °C
6023
7139
9256
11,061
12,181
2.0 °C
6023
6694
6489
5251
4245
1.5 °C
6023
5493
4217
3258
2903
Domestic aviation
5.0 °C
225
353
447
581
621
2.0 °C
225
240
220
180
143
1.5 °C
225
230
200
139
108
Domestic navigation
5.0 °C
196
216
227
246
267
2.0 °C
196
216
227
246
267
1.5 °C
196
216
227
246
267
Total
5.0 °C
6521
7789
10,010
11,970
13,153
2.0 °C
6521
7246
7051
5834
4838
1.5 °C
6521
6053
4769
3791
3489
By 2030, electricity will provide 6% (120 TWh/year) of the transport sector’s total energy demand in the 2.0 °C Scenario, whereas in 2050, the share will be 36% (480 TWh/year). In 2050, up to 650 PJ/year of hydrogen will be used in the transport sector as a complementary renewable option. In the 1.5 °C Scenario, the annual electricity demand will be 350 TWh in 2050. The 1.5 °C Scenario also assumes a hydrogen demand of 500 PJ/year by 2050.
Biofuel use is limited in the 2.0 °C Scenario to a maximum of 1940 PJ/year Therefore, around 2030, synthetic fuels based on power-to-liquid will be introduced, with a maximum amount of 530 PJ/year in 2050. Due to the lower overall energy demand in transport, biofuel use will be reduced in the 1.5 °C Scenario to a maximum of 1540 PJ/year. The maximum synthetic fuel demand will amount to 280 PJ/year.

8.11.1.8 Non-OECD Asia: Development of CO2 Emissions

In the 5.0 °C Scenario, Non-OECD Asia’s annual CO2 emissions will increase by 160%, from 1880 Mt. in 2015 to 4880 Mt. in 2050. The stringent mitigation measures in both alternative scenarios will cause the annual emissions to fall to 630 Mt. in 2040 in the 2.0 °C Scenario and to 330 Mt. in the 1.5 °C Scenario, with further reductions to almost zero by 2050. In the 5.0 °C case, the cumulative CO2 emissions from 2015 until 2050 will add up to 121 Gt. In contrast, in the 2.0 °C and 1.5 °C Scenarios, the cumulative emissions for the period from 2015 until 2050 will be 42 Gt and 32 Gt, respectively.
Therefore, the cumulative CO2 emissions will decrease by 65% in the 2.0 °C Scenario and by 74% in the 1.5 °C Scenario compared with the 5.0 °C case. A rapid reduction in annual emissions will occur in both alternative scenarios. In the 2.0 °C Scenario, this reduction will be greatest in ‘Power generation’, followed by the ‘Residential and other’ and ‘Industry’ sectors (Fig. 8.78).

8.11.1.9 Non-OECD Asia: Primary Energy Consumption

The levels of primary energy consumption in the three scenarios when the assumptions discussed above are taken into account are shown in Fig. 8.79. In the 2.0 °C Scenario, the primary energy demand will increase by 13%, from around 38,100 PJ/year in 2015 to 43,200 PJ/year. Compared with the 5.0 °C Scenario, the overall primary energy demand will decrease by 47% by 2050 in the 2.0 °C Scenario (5.0 °C: 81600 PJ in 2050). In the 1.5 °C Scenario, the primary energy demand will be even lower (39,300 PJ in 2050) because the final energy demand and conversion losses will be lower.
Both the 2.0 °C Scenario and 1.5 °C Scenario aim to rapidly phase-out coal and oil. This will cause renewable energy to have a primary energy share of 40% in 2030 and 93% in 2050 in the 2.0 °C Scenario. In the 1.5 °C Scenario, renewables will have a primary energy share of more than 92% in 2050 (including non-energy consumption, which will still include fossil fuels). Nuclear energy will be phased out by 2045 in both the 2.0 °C Scenario and 1.5 °C Scenario. The cumulative primary energy consumption of natural gas in the 5.0 °C case will add up to 430 EJ, the cumulative coal consumption to about 530 EJ, and the crude oil consumption to 580 EJ. In contrast, in the 2.0 °C Scenario, the cumulative gas demand will amount to 260 EJ, the cumulative coal demand to 120 EJ, and the cumulative oil demand to 270 EJ. Even lower fossil fuel use will be achieved in the 1.5 °C Scenario: 230 EJ for natural gas, 70 EJ for coal, and 190 EJ for oil.

8.11.2 Non-OECD Asia: Power Sector Analysis

Non-OECD Asia is the most heterogeneous region of all IEA world energy regions because it includes not only all the ASEAN countries (ASEAN 2018) of South East Asia, but also central and south Asian nations, as well all 16 Pacific Island states. As for the Caribbean Islands, a power system assessment—especially with regard to possible storage demand—that examines all Pacific Island states together rather than individually, is not sufficient to provide the actual required storage demand. However, with this is in mind, the ratio of solar PV generation to storage requirements does provide some indication. A specific assessment for each of the Pacific Island states is required, but is beyond the scope of this study. Indonesia and the Philippines are selected as sub-regions because they are island states with some interconnection between islands.

8.11.2.1 Non-OECD Asia: Development of Power Plant Capacities

Non-OECD Asia’s renewable power market can be subdivided into the following categories: technologies for small and medium islands (mainly solar PV–battery systems, mini-hydro and small-scale bioenergy systems); and utility-scale solar and onshore wind for all major economies in mainland Asia or on the large islands of the Philippines and Indonesia. Several countries in this region are on the Pacific Ring of Fire and have significant geothermal energy resources. The annual market for geothermal power plants is one of the world’s largest, with a projected 3–4 GW each year for almost two decades between 2025 and 2045 in both scenarios (Table 8.72).
Table 8.72
Non-OECD Asia: average annual change in installed power plant capacity
Non-OECD-Asia power generation: average annual change of installed capacity [GW/a]
2015–2025
2026–2035
2036–2050
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Hard coal
2
−6
−7
−4
−1
0
Lignite
−2
−4
−1
−2
0
0
Gas
4
10
19
14
−26
−22
Hydrogen-gas
0
1
0
6
33
24
Oil/diesel
0
−5
−4
−5
−1
0
Nuclear
0
0
0
0
0
0
Biomass
2
1
1
1
1
1
Hydro
3
2
0
0
0
0
Wind (onshore)
4
21
20
24
26
20
Wind (offshore)
3
7
6
7
5
4
PV (roof top)
10
36
40
47
50
37
PV (utility scale)
3
12
13
16
17
12
Geothermal
0
3
4
4
2
1
Solar thermal power plants
1
6
9
8
17
13
Ocean energy
0
0
1
1
3
2
Renewable fuel based co-generation
1
2
1
1
1
1

8.11.2.2 Non-OECD Asia: Utilization of Power-Generation Capacities

Due to the geographic diversity and wide distribution of all sub-regions of the Non-OECD Asia region, it is assumed that there are no interconnection capacities available, and that there will not be any at the end of the modelling period (Table 8.73). In both scenarios, variable power generation will jump from only 1% today to around 25% in all sub-regions, whereas dispatchable renewables will remain stable at around 25%–30% until 2050.
Table 8.73
Non-OECD Asia: power system shares by technology group
Power generation structure and interconnection
 
2.0 °C
1.5 °C
Variable RE
Dispatch RE
Dispatch Fossil
Inter-connection
Variable RE
Dispatch RE
Dispatch Fossil
Inter-connection
Asia West: Pakistan, Afghanistan, Nepal, Bhutan
2015
1%
35%
63%
0%
    
2030
31%
31%
38%
0%
44%
29%
28%
0%
2050
62%
25%
13%
0%
64%
24%
12%
0%
Sri Lanka
2015
1%
35%
64%
0%
    
2030
30%
37%
33%
0%
41%
34%
25%
0%
2050
58%
27%
15%
0%
59%
26%
14%
0%
Pacific Island State
2015
1%
35%
64%
0%
    
2030
29%
34%
37%
0%
39%
30%
30%
0%
2050
55%
25%
20%
0%
55%
25%
20%
0%
Asia North West: Bangladesh, Myanmar, Thailand
2015
1%
35%
64%
0%
    
2030
23%
37%
40%
0%
33%
35%
32%
0%
2050
48%
31%
21%
0%
50%
30%
20%
0%
Asia Central North: Viet Nam, Laos and Cambodia
2015
1%
35%
64%
0%
    
2030
27%
36%
36%
0%
38%
33%
29%
0%
2050
53%
28%
20%
0%
56%
27%
17%
0%
Asia South West: Malaysia, Brunei
2015
1%
35%
64%
0%
    
2030
26%
40%
34%
0%
36%
37%
27%
0%
2050
52%
29%
19%
0%
57%
28%
15%
0%
Indonesia
2015
1%
35%
64%
0%
    
2030
21%
34%
45%
0%
31%
35%
35%
0%
2050
47%
30%
23%
0%
48%
30%
22%
0%
Philippines
2015
1%
35%
64%
0%
    
2030
34%
34%
32%
0%
48%
30%
22%
0%
2050
63%
23%
13%
0%
65%
22%
13%
0%
Non-OECD Asia
2015
1%
35%
64%
     
2030
26%
35%
39%
 
36%
34%
30%
 
2050
52%
28%
19%
 
55%
28%
17%
 
Compared with other world regions, the capacity factors for limited dispatchable fossil and nuclear energy will remain relatively high until 2030, as shown in Table 8.74. The time required for variable power generation to replace fossil and nuclear generation will be greater than it is in other regions. In the 1.5 °C Scenario, all coal capacities across the region will be phased out by 2030, except for 4 GW (equivalent to 4–5 power plants), which will be off-line 5 years later.
Table 8.74
Non-OECD Asia: capacity factors by generation type
Utilization of variable and dispatchable power generation:
 
2015
2020
2020
2030
2030
2040
2040
2050
2050
Non-OECD Asia
 
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Capacity factor – average
[%/yr]
55.4%
52%
53%
45%
42%
33%
33%
34%
32%
Limited dispatchable: fossil and nuclear
[%/yr]
71.4%
52%
53%
44%
33%
31%
13%
25%
0%
Limited dispatchable: renewable
[%/yr]
40.5%
61%
61%
59%
56%
58%
53%
45%
49%
Dispatchable: fossil
[%/yr]
50.2%
32%
33%
23%
27%
37%
13%
28%
12%
Dispatchable: renewable
[%/yr]
34.4%
75%
75%
74%
69%
41%
58%
53%
51%
Variable: renewable
[%/yr]
13.1%
19%
19%
36%
35%
26%
31%
30%
29%

8.11.2.3 Non-OECD Asia: Development of Load, Generation, and Residual Load

Because both scenarios were calculated under the assumption that there are no interconnection capacities at the sub-regional level, more dispatch capacity will be deployed. Table 8.75 shows that only Asia North-West and Asia South-West will require some interconnection to avoid curtailment. The development of the maximum load, generation, and the resulting residual load—the load remaining after variable renewable generation. According to the Philippine Department of Energy, the peak demand in the Philippines in 2016 was 13.3 GW (PR-DoE 2016) (9.7 GW in Luzon, 1.9 GW in the Visayas, and 1.7 GW in Mindanao). The calculated load for the Philippines in 2020 was 16.3 GW, which seems realistic. The load will increase to 75.5 GW by 2050 under the 2.0 °C Scenario. The results for all Asian regions show a quadrupling of load by 2050.
Table 8.75
Non-OECD Asia: load, generation, and residual load development—2.0 °C Scenario
Power generation structure
 
2.0 °C
1.5 °C
Max demand
Max generation
Max residual load
Max interconnection requirements
Max demand
Max generation
Max residual load
Max interconnection requirements
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
Asia West: Pakistan, Afghanistan, Nepal, Bhutan
2020
38.1
22.4
17.4
 
38.1
22.3
17.5
 
2030
65.1
58.2
44.4
0
67.1
64.2
47.9
0
2050
145.6
194.0
117.5
0
137.5
185.6
112.2
0
Sri Lanka
2020
5.6
2.7
3.2
 
5.6
2.7
3.2
 
2030
9.0
8.6
6.3
0
9.2
10.5
6.5
0
2050
19.7
31.1
15.2
0
18.2
29.7
14.1
0
Pacific Island State
2020
1.6
1.0
0.6
 
1.6
1.0
0.6
 
2030
2.6
2.3
1.8
0
2.7
2.6
1.9
0
2050
5.6
8.2
4.2
0
5.5
7.9
4.2
0
Asia North West: Bangladesh, Myanmar, Thailand
2020
57.8
18.9
41.8
 
57.8
18.8
41.9
 
2030
97.4
88.8
67.1
0
99.6
101.2
71.5
0
2050
218.9
321.0
171.4
0
198.1
306.3
155.8
0
Asia Central North: Viet Nam, Laos and Cambodia
2020
29.4
26.3
3.5
 
29.4
26.2
3.6
 
2030
47.0
44.4
29.8
0
47.9
61.2
32.2
0
2050
109.6
191.0
83.1
0
93.7
182.6
70.2
19
Asia South West: Malaysia, Brunei
2020
38.2
16.0
25.0
 
38.2
15.1
25.5
 
2030
53.6
54.0
28.1
0
53.9
68.4
34.0
0
2050
121.0
216.7
89.1
7
99.2
206.9
71.0
37
Indonesia
2020
60.9
34.3
26.6
 
60.9
33.0
27.9
 
2030
106.7
99.8
59.9
0
108.7
114.5
77.4
0
2050
239.4
363.8
188.3
0
218.6
348.2
173.2
0
Philippines
2020
16.3
13.7
3.9
     
2030
33.5
33.0
19.0
0
34.3
42.6
24.1
0
2050
75.5
133.1
58.8
0
70.3
127.3
55.5
2
The lack of interconnection potential between or even within most sub-regions will lead to some curtailment.
Table 8.76 shows that whereas countries on the Asian mainland will use and increase their capacity for hydro pump storage electricity, batteries will be used for most of the storage requirements of islands and island states. Where available, gas infrastructure must be converted to hydrogen-operated systems.
Table 8.76
Non-OECD Asia: storage and dispatch service requirements
Storage and dispatch
 
2.0 °C
1.5 °C
Non-OECD Asia
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
Asia West: Pakistan, Afghanistan, Nepal, Bhutan
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
0
434
4
78
82
3356
2050
36,251
767
716
1483
42,533
37,649
407
774
1181
44,157
Sri Lanka
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
0
72
1
9
10
564
2050
4755
135
125
260
7380
5471
74
144
218
7330
Pacific Island State
2020
0
0
0
0
0
0
0
0
0
0
2030
12
0
2
2
0
183
1
14
14
142
2050
2178
44
43
87
2101
1932
22
42
65
2211
Asia North West: Bangladesh, Myanmar, Thailand
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
0
194
1
27
28
6617
2050
19,992
1114
824
1938
93,720
29,141
657
1113
1770
92,309
Asia Central North: Viet Nam, Laos and Cambodia
2020
0
0
0
0
0
0
0
0
0
0
2030
6
0
3
4
0
1031
5
121
126
3346
2050
26,401
727
708
1435
49,483
40,048
416
919
1335
45,848
Asia South West: Malaysia, Brunei
2020
0
0
0
0
0
0
0
0
0
0
2030
7
0
2
3
0
1036
5
120
125
4151
2050
32,422
942
893
1835
59,371
55,862
610
1406
2016
51,750
Indonesia
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
0
176
1
21
22
7391
2050
11,890
720
530
1250
107,913
17,040
478
717
1195
107,330
Philippines
2020
0
0
0
0
0
0
0
0
0
0
2030
112
3
22
25
0
3723
6
232
239
1917
2050
38,084
507
670
1177
23,954
41,017
266
743
1009
24,126
Other Asia
2020
0
0
0
0
0
0
0
0
0
0
2030
137
4
30
34
0
6848
23
622
646
27,484
2050
171,973
4955
4510
9465
386,454
228,160
2930
5859
8789
375,061

8.12 India

8.12.1 India: Long-Term Energy Pathways

8.12.1.1 India: Final Energy Demand by Sector

The future development pathways for India’s final energy demand when the assumptions on population growth, GDP growth, and energy intensity are combined are shown in Fig. 8.80 for the 5.0 °C, 2.0 °C, and 1.5 °C Scenarios. In the 5.0 °C Scenario, the total final energy demand will increase by 201% from the current 22,200 PJ/year to 66,800 PJ/year by 2050. In the 2.0 °C Scenario, the final energy demand will increase at a much slower rate by 57% compared with current consumption and will reach 34,900 PJ/year by 2050. The final energy demand in the 1.5 °C Scenario will reach 31,900 PJ, 44% above the 2015 level. In the 1.5 °C Scenario, the final energy demand in 2050 will be 9% lower than in the 2.0 °C Scenario. The electricity demand for ‘classical’ electrical devices (without power-to-heat or e-mobility) will increase from 750 TWh/year in 2015 to 3200 TWh/year in 2050 in both alternative scenarios. Compared with the 5.0 °C case (4720 TWh/year in 2050), efficiency measures in the 2.0 °C and 1.5 °C Scenarios will save around 1520 TWh/year by 2050.
Electrification will lead to a significant increase in the electricity demand by 2050. In the 2.0 °C Scenario, the electricity demand for heating will be approximately 1900 TWh/year due to electric heaters and heat pumps, and in the transport sector, the electricity demand will be approximately 3400 TWh/year due to electric mobility. The generation of hydrogen (for transport and high-temperature process heat) and the manufacture of synthetic fuels (mainly for transport) will add an additional power demand of 1700 TWh/year. Therefore, the gross power demand will increase from 1400 TWh/year in 2015 to 8400 TWh/year in 2050 in the 2.0 °C Scenario, 31% higher than in the 5.0 °C case. In the 1.5 °C Scenario, the gross electricity demand will increases to a maximum of 7700 TWh/year in 2050.
Efficiency gains in the heating sector could be even larger than in the electricity sector. In the 2.0 °C and 1.5 °C Scenarios, a final energy consumption equivalent to about 9500 PJ/year and 9800 PJ/year, respectively, will be avoided through efficiency gains by 2050 compared with the 5.0 °C Scenario.

8.12.1.2 India: Electricity Generation

The development of the power system is characterized by a dynamically growing renewable energy market and an increasing proportion of total power from renewable sources. By 2050, 100% of the electricity produced in India will come from renewable energy sources in the 2.0 °C Scenario. ‘New’ renewables—mainly wind, solar, and geothermal energy—will contribute 90% of the total electricity generation. Renewable electricity’s share of the total production will be 66% by 2030 and 89% by 2040. The installed capacity of renewables will reach about 1060 GW by 2030 and 3360 GW by 2050. The share of renewable electricity generation in 2030 in the 1.5 °C Scenario is assumed to be 77%. In the 1.5 °C Scenario, the generation capacity from renewable energy will be approximately 3040 GW in 2050.
Table 8.77 shows the development of different renewable technologies in India over time. Figure 8.81 provides an overview of the overall power-generation structure in India. From 2020 onwards, the continuing growth of wind and PV up to 1270 GW and 1570 GW, respectively, is complemented by up to 210 GW solar thermal generation, as well as limited biomass, geothermal, and ocean energy, in the 2.0 °C Scenario. Both the 2.0 °C Scenario and 1.5 °C Scenario will lead to a high proportion of variable power generation (PV, wind, and ocean) of 48% and 60%, respectively, by 2030, and 75% and 72%, respectively, by 2050.
Table 8.77
India: development of renewable electricity-generation capacity in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Hydro
5.0 °C
46
68
81
97
117
2.0 °C
46
68
72
80
87
1.5 °C
46
68
72
80
87
Biomass
5.0 °C
8
13
16
20
25
2.0 °C
8
23
31
60
93
1.5 °C
8
23
31
60
93
Wind
5.0 °C
25
82
119
185
246
2.0 °C
25
200
421
938
1273
1.5 °C
25
275
543
1002
1110
Geothermal
5.0 °C
0
0
0
0
0
2.0 °C
0
3
8
42
68
1.5 °C
0
3
8
42
68
PV
5.0 °C
5
115
198
345
545
2.0 °C
5
230
469
1090
1572
1.5 °C
5
365
648
1185
1412
CSP
5.0 °C
0
0
1
1
2
2.0 °C
0
8
48
138
209
1.5 °C
0
8
48
138
209
Ocean
5.0 °C
0
0
0
0
0
2.0 °C
0
1
11
33
59
1.5 °C
0
1
11
33
59
Total
5.0 °C
84
279
415
648
936
2.0 °C
84
532
1061
2381
3360
1.5 °C
84
742
1361
2540
3037

8.12.1.3 India: Future Costs of Electricity Generation

Figure 8.82 shows the development of the electricity-generation and supply costs over time, including the CO2 emission costs, in all scenarios. The calculated electricity generation costs in 2015 (referring to full costs) were around 5.4 ct/kWh. In the 5.0 °C case, the generation costs will increase until 2040, when they reach 11 ct/kWh, and then drop to 10.7 ct/kWh by 2050. The generation costs will increase in the 2.0 °C Scenario until 2030, when they reach 8.4 ct/kWh, and then drop to 5.7 ct/kWh by 2050. In the 1.5 °C Scenario, they will increase to 7.8 ct/kWh, and then drop to 5.8 ct/kWh by 2050. In the 2.0 °C Scenario, the generation costs in 2050 will be 5 ct/kWh lower than in the 5.0 °C case. In the 1.5 °C Scenario, the generation costs in 2050 will be 4.9 ct/kWh lower than in the 5.0 °C case. Note that these estimates of generation costs do not take into account integration costs such as power grid expansion, storage, or other load-balancing measures.
In the 5.0 °C case, the growth in demand and increasing fossil fuel prices will cause the total electricity supply costs to rise from today’s $75 billion/year to more than $690 billion/year in 2050. In the 2.0 °C case, the total supply costs will be $500 billion/year and in the 1.5 °C Scenario, they will be $470 billion/year. The long-term costs for electricity supply will be more than 27% lower in the 2.0 °C Scenario than in the 5.0 °C Scenario as a result of the estimated generation costs and the electrification of heating and mobility. Further demand reductions in the 1.5 °C Scenario will result in total power generation costs that are 32% lower than in the 5.0 °C case.
Compared with these results, the generation costs, when the CO2 emission costs are not considered, will increase in the 5.0 °C case to only 6.9 ct/kWh. In both alternative scenarios, they will still increase until 2030, when they reach 6.7 ct/kWh, and then drop to around 5.8 ct/kWh by 2050. The maximum difference in generation costs will be around 1 ct/kWh in 2050. If the CO2 costs are not considered, the total electricity supply costs in the 5.0 °C case will rise to about $430 billion/year in 2050.

8.12.1.4 India: Future Investments in the Power Sector

An investment of around $5640 billion will be required for power generation between 2015 and 2050 in the 2.0 °C Scenario—including additional power plants for the production of hydrogen and synthetic fuels and investments in the replacement of plants after the end of their economic lifetimes. This value is equivalent to approximately $157 billion per year on average, and is $3310 billion more than in the 5.0 °C case ($2330 billion). An investment of around $5560 billion for power generation will be required between 2015 and 2050 in the 1.5 °C Scenario. On average, this will be an investment of $154 billion per year. In the 5.0 °C Scenario, the investment in conventional power plants will be around 48% of the total cumulative investments, whereas approximately 52% will be invested in renewable power generation and co-generation (Fig. 8.83).
However, in the 2.0 °C (1.5 °C) Scenario, India will shift almost 94% (95%) of its entire investment to renewables and co-generation. By 2030, the fossil fuel share of the power sector investment will predominantly focus on gas power plants that can also be operated with hydrogen.
Because renewable energy has no fuel costs, other than biomass, the cumulative fuel cost savings in the 2.0 °C Scenario will reach a total of $3110 billion in 2050, equivalent to $86 billion per year. Therefore, the total fuel cost savings will be equivalent to 90% of the total additional investments compared to the 5.0 °C Scenario. The fuel cost savings in the 1.5 °C Scenario will add up to $3330 billion, or $93 billion per year.

8.12.1.5 India: Energy Supply for Heating

The final energy demand for heating will increase in the 5.0 °C Scenario by 133%, from 11,900 PJ/year in 2015 to 27,800 PJ/year in 2050. Energy efficiency measures will help to reduce the energy demand for heating by 34% in 2050 in the 2.0 °C Scenario, relative to the 5.0 °C case, and by 35% in the 1.5 °C Scenario. Today, renewables supply around 47% of India’s final energy demand for heating, with the main contribution from biomass. Renewable energy will provide 53% of India’s total heat demand in 2030 in the 2.0 °C Scenario and 68% in the 1.5 °C Scenario. In both scenarios, renewables will provide 100% of the total heat demand in 2050.
Figure 8.84 shows the development of different technologies for heating in India over time, and Table 8.78 provides the resulting renewable heat supply for all scenarios. Up to 2030, biomass will remain the main contributor. In the long term, the increasing use of solar, geothermal, and environmental heat will lead to a biomass share of 38% in the 2.0 °C Scenario and 36% in the 1.5 °C Scenario.
Table 8.78
India: development of renewable heat supply in the scenarios (excluding the direct use of electricity)
in PJ/year
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
5544
5633
5666
5595
5341
2.0 °C
5544
5726
5600
4854
4366
1.5 °C
5544
5600
5444
4758
4078
Solar heating
5.0 °C
28
77
115
200
310
2.0 °C
28
589
1537
2964
3693
1.5 °C
28
887
2271
3107
3626
Geothermal heat and heat pumps
5.0 °C
0
1
1
1
2
2.0 °C
0
164
647
1627
2136
1.5 °C
0
189
725
1497
2103
Hydrogen
5.0 °C
0
0
0
0
0
2.0 °C
0
0
2
299
1409
1.5 °C
0
0
2
437
1613
Total
5.0 °C
5572
5711
5781
5796
5653
2.0 °C
5572
6478
7787
9743
11,603
1.5 °C
5572
6675
8442
9800
11,420
Heat from renewable hydrogen will further reduce the dependence on fossil fuels under both scenarios. Hydrogen consumption in 2050 will be around 1400 PJ/year in the 2.0 °C Scenario and 1600 PJ/year in the 1.5 °C Scenario. The direct use of electricity for heating will also increase by a factor of about 21 between 2015 and 2050, and the electricity for heating will have a final energy share of 36% in 2050 in both alternative scenarios.

8.12.1.6 India: Future Investments in the Heating Sector

The roughly estimated investments in renewable heating technologies up to 2050 amount to around $930 billion in the 2.0 °C Scenario (including investments for replacement after the economic lifetimes of the plants), or approximately $26 billion per year. The largest share of investment in India is assumed to be for solar collectors (around $490 billion), followed by heat pumps and biomass technologies. The 1.5 °C Scenario assumes an even faster expansion of renewable technologies and results in a higher average annual investment of around $29 billion per year (Table 8.79, Fig. 8.85).
Table 8.79
India: installed capacities for renewable heat generation in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
2049
1923
1836
1633
1432
2.0 °C
2049
1954
1798
1311
856
1.5 °C
2049
1916
1756
1276
785
Geothermal
5.0 °C
0
0
0
0
0
2.0 °C
0
2
9
32
38
1.5 °C
0
5
12
28
37
Solar heating
5.0 °C
6
17
25
43
67
2.0 °C
6
126
327
619
777
1.5 °C
6
191
486
653
763
Heat pumps
5.0 °C
0
0
0
0
0
2.0 °C
0
12
42
90
131
1.5 °C
0
11
46
82
129
Totala
5.0 °C
2055
1940
1861
1676
1499
2.0 °C
2055
2094
2177
2052
1802
1.5 °C
2055
2122
2300
2039
1715
a Excluding direct electric heating

8.12.1.7 India: Transport

The energy demand in the transport sector in India is expected to increase in the 5.0 °C Scenario by 377%, from around 3600 PJ/year in 2015 to 17,200 PJ/year in 2050. In the 2.0 °C Scenario, assumed technical, structural, and behavioural changes will save 66% (11,280 PJ/year) by 2050 compared to the 5.0 °C Scenario. Additional modal shifts, technology switches, and a reduction in the transport demand will lead to even higher energy savings in the 1.5 °C Scenario of 81% (or 13,930 PJ/year) in 2050 compared with the 5.0 °C case (Table 8.80, Fig. 8.86).
Table 8.80
India: projection of transport energy demand by mode in the scenarios
in PJ/year
Case
2015
2025
2030
2040
2050
Rail
5.0 °C
180
238
278
353
423
2.0 °C
180
270
325
421
526
1.5 °C
180
219
234
332
446
Road
5.0 °C
3294
5861
7880
12,152
16,455
2.0 °C
3294
5017
5562
5301
5285
1.5 °C
3294
4253
3125
2977
2730
Domestic aviation
5.0 °C
84
131
166
216
231
2.0 °C
84
89
81
66
52
1.5 °C
84
85
74
52
40
Domestic navigation
5.0 °C
29
34
36
40
52
2.0 °C
29
34
36
40
52
1.5 °C
29
34
36
40
52
Total
5.0 °C
3587
6263
8360
12,762
17,161
2.0 °C
3587
5410
6006
5828
5914
1.5 °C
3587
4590
3470
3401
3268
By 2030, electricity will provide 10% (160 TWh/year) of the transport sector’s total energy demand in the 2.0 °C Scenario, whereas in 2050, the share will be 58% (950 TWh/year). In 2050, up to 860 PJ/year of hydrogen will be used in the transport sector as a complementary renewable option. In the 1.5 °C Scenario, the annual electricity demand will be 560 TWh in 2050. The 1.5 °C Scenario also assumes a hydrogen demand of 590 PJ/year by 2050.
Biofuel use is limited in the 2.0 °C Scenario to a maximum of around 1000 PJ/year. Therefore, around 2030, synthetic fuels based on power-to-liquid will be introduced, with a maximum amount of 610 PJ/year in 2050. Due to the lower overall energy demand in transport, biofuel use will be reduced in the 1.5 °C Scenario to a maximum of 510 PJ/year. The maximum synthetic fuel demand will amount to 310 PJ/year.

8.12.1.8 India: Development of CO2 Emissions

In the 5.0 °C Scenario, India’s annual CO2 emissions will increase by 236%, from 2060 Mt. in 2015 to 6950 Mt. in 2050. The stringent mitigation measures in both alternative scenarios will cause the annual emissions to fall to 930 Mt. in 2040 in the 2.0 °C Scenario and to 200 Mt. in the 1.5 °C Scenario, with further reductions to almost zero by 2050. In the 5.0 °C case, the cumulative CO2 emissions from 2015 until 2050 will add up to 169 Gt. In contrast, in the 2.0 °C and 1.5 °C Scenarios, the cumulative emissions for the period from 2015 until 2050 will be 55 Gt and 38 Gt, respectively.
Therefore, the cumulative CO2 emissions will decrease by 67% in the 2.0 °C Scenario and by 78% in the 1.5 °C Scenario compared with the 5.0 °C case. A rapid reduction in the annual emissions will occur in both alternative scenarios. In the 2.0 °C Scenario, the reduction will be greatest in the ‘Residential and other’ sector, followed by the ‘Power generation’ and ‘Industry’ sectors (Fig. 8.87).

8.12.1.9 India: Primary Energy Consumption

The levels of primary energy consumption in the three scenarios when the assumptions discussed above are taken into account are shown in Fig. 8.88. In the 2.0 °C Scenario, the primary energy demand will increase by 43%, from around 35,600 PJ/year in 2015 to 50,900 PJ/year in 2050. Compared with the 5.0 °C Scenario, the overall primary energy demand will decrease by 51% by 2050 in the 2.0 °C Scenario (5.0 °C: 104,800 PJ in 2050). In the 1.5 °C Scenario, the primary energy demand will be even lower (47,100 PJ in 2050) because the final energy demand and conversion losses will be lower.
Both the 2.0 °C and 1.5 °C Scenarios aim to rapidly phase-out coal and oil. This will cause renewable energy to have a primary energy share of 40% in 2030 and 94% in 2050 in the 2.0 °C Scenario. In the 1.5 °C Scenario, renewables will have a primary energy share of more than 94% in 2050 (including non-energy consumption, which will still include fossil fuels). Nuclear energy will be phased out by 2050 in both the 2.0 °C and 1.5 °C Scenarios. The cumulative primary energy consumption of natural gas in the 5.0 °C case will add up to 160 EJ, the cumulative coal consumption to about 1180 EJ, and the crude oil consumption to 570 EJ. In contrast, in the 2.0 °C Scenario, the cumulative gas demand will amount to 120 EJ, the cumulative coal demand to 360 EJ, and the cumulative oil demand to 220 EJ. Even lower fossil fuel use will be achieved in the 1.5 °C Scenario: 130 EJ for natural gas, 220 EJ for coal, and 150 EJ for oil.

8.12.2 India: Power Sector Analysis

The electricity market in India is in dynamic development. The government of India is making great efforts to increase the reliability of the power supply and at the same time, it is developing universal access to electric power. In 2017, about 300 million Indians (RF 2018) had no power or inadequate power. In 2017, the Indian Government launched The Third National Electricity Plan, which covers two 5-year periods: 2017–2022 and 2022–2027. According to the International Energy Agency (IEA) Policies and Measures Database (IEA P + M DB 2018):
[…] “the plan covers short- and long-term demand forecasts in different regions and recommend areas for transmission and generation capacity additions … However, as India sets to meet its first nationally-determined contribution (NDC) under the Paris Agreement … Highlights of the plan include, that during the period 2017–22, no additional capacity of coal will be added – except for the coal power plants under construction […]”.
In terms of renewable power generation, India aims to have a total capacity of 275 GW for solar and wind and 72 GW for hydro, with no further increase in the coal power plant capacity until at least 2027.

8.12.2.1 India: Development of Power Plant Capacities

The Third National Electricity Plan for India is an important foundation for strengthening India’s renewable power market in order to achieve the levels envisaged in both alternative scenarios. Whereas the hydropower target is consistent with the 2.0 °C and 1.5 °C targets, the solar and wind capacity of 275 GW must be reached between 2020 and 2025 for both scenarios. The annual installation rates for solar PV installations must increase to around 50 GW—the market size in China in 2017—and remain at that level until 2040 to implement either the 2.0 °C or 1.5 °C Scenario. The installation rates for onshore wind must be equally high. In 2017, 4.15 GW of new wind turbines were installed, and significant growth is required. Offshore wind and concentrated solar power plants have significant potential for selected regions of India. Both technologies are vital to achieving the 2.0 °C or 1.5 °C targets (Table 8.81).
Table 8.81
India: average annual change in installed power plant capacity
India power generation: average annual change of installed capacity [GW/a]
2015–2025
2026–2035
2036–2050
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Hard coal
7
−7
−6
−7
−15
−6
Lignite
0
−1
−1
−2
−2
−1
Gas
9
13
7
7
−14
17
Hydrogen-Gas
0
0
1
1
32
32
Oil/Diesel
0
−1
−1
−1
0
0
Nuclear
1
0
0
0
−1
−1
Biomass
2
2
2
2
4
4
Hydro
3
2
1
1
1
1
Wind (onshore)
20
55
54
59
44
21
Wind (offshore)
2
6
7
7
5
4
PV (roof top)
21
55
49
53
51
30
PV (utility scale)
7
18
16
18
17
10
Geothermal
0
1
3
3
4
4
Solar thermal power plants
1
6
11
11
10
10
Ocean energy
0
1
3
3
3
3
Renewable fuel based co-generation
0
1
2
2
3
3

8.12.2.2 India: Utilization of Power-Generation Capacities

The division of India into five sub-regions is intended to reflect the main grid zones and it is assumed that interconnection will continue to increase to 15% in 2030 and 20% in 2050. Both scenarios aim for an even distribution of variable power plant capacities across all Indian sub-regions. By 2030, the variable power generation will reach 40% in most regions, whereas dispatchable renewables will supply about one quarter of the demand by 2030 (Table 8.82).
Table 8.82
India: power system shares by technology group
Power generation structure and interconnection
 
2.0 °C
1.5 °C
Variable RE
Dispatch RE
Dispatch Fossil
Inter-connection
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
India-Northern Region
2015
4%
32%
64%
10%
    
2030
41%
28%
31%
15%
56%
24%
20%
15%
2050
60%
38%
2%
20%
48%
35%
17%
20%
India-North-Eastern Region
2015
4%
32%
64%
10%
    
2030
44%
26%
30%
15%
58%
21%
21%
15%
2050
95%
5%
0%
20%
92%
5%
3%
20%
India-Eastern Region
2015
4%
32%
64%
10%
    
2030
51%
26%
23%
15%
68%
22%
10%
15%
2050
73%
26%
1%
20%
69%
29%
2%
20%
India-Western Region
2015
4%
32%
64%
10%
    
2030
44%
26%
30%
15%
57%
21%
22%
15%
2050
70%
29%
1%
20%
49%
24%
27%
20%
India-Southern Region
2015
4%
32%
64%
10%
    
2030
48%
23%
29%
15%
60%
18%
22%
15%
2050
78%
21%
1%
20%
62%
19%
19%
20%
India
2015
4%
32%
64%
     
2030
45%
26%
29%
 
60%
21%
19%
 
2050
72%
27%
1%
 
58%
26%
16%
 
India’s average capacity factors for the entire power plant fleet remain at around 35% over the entire modelling period, as the calculation results in Table 8.83 show. Contributions from limited dispatchable fossil and nuclear power plants will remain high until 2030 and indicate that a significant replacement of coal for electricity must occur after 2030 in the 2.0 °C Scenario. In the 1.5 °C Scenario, coal will be phased-out just after 2035.
Table 8.83
India: capacity factors by generation type
Utilization of variable and dispatchable power generation:
 
2015
2020
2020
2030
2030
2040
2040
2050
2050
India
 
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Capacity factor – average
[%/yr]
60.8%
53%
57%
35%
26%
33%
30%
37%
34%
Limited dispatchable: fossil and nuclear
[%/yr]
67.7%
57%
61%
48%
38%
37%
27%
37%
12%
Limited dispatchable: renewable
[%/yr]
17.1%
24%
26%
38%
34%
58%
39%
44%
42%
Dispatchable: fossil
[%/yr]
44.7%
12%
19%
11%
12%
30%
29%
24%
29%
Dispatchable: renewable
[%/yr]
39.8%
60%
68%
57%
45%
40%
52%
65%
57%
Variable: renewable
[%/yr]
9.0%
8%
8%
19%
20%
27%
25%
29%
28%

8.12.2.3 India: Development of Load, Generation, and Residual Load

Table 8.84 shows that India’s load is predicted to quadruple in all five sub-regions between 2020 and 2050. Under the 2.0 °C Scenario, additional interconnection will increase—beyond the assumed 20% target—but may only be required for the western and southern sub-regions of India. However, for the 1.5 °C Scenario, interconnections must increase in four of the five regions. In the northern region, the calculated generation increases faster than the demand. This region has significant potential for concentrated solar power plants and could supply neighbouring regions.
Table 8.84
India: load, generation, and residual load development
Power generation structure
 
2.0 °C
1.5 °C
Max demand
Max generation
Max residual load
Max interconnection requirements
Max demand
Max generation
Max residual load
Max interconnection requirements
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
India-Northern Region
2020
87.8
85.6
11.1
 
87.8
78.2
19.9
 
2030
150.1
147.3
41.2
0
149.6
240.4
57.2
34
2050
372.2
397.2
265.7
0
366.8
381.7
211.1
0
India-North-Eastern Region
2020
10.7
10.4
0.6
 
10.7
10.4
0.6
 
2030
18.3
21.7
2.7
1
18.3
30.4
2.7
9
2050
45.4
69.1
32.7
0
44.8
223.9
9.3
170
India-Eastern Region
2020
64.5
47.5
25.3
 
64.5
38.5
34.2
 
2030
110.8
118.0
43.1
0
110.4
198.8
53.1
35
2050
276.9
364.6
183.6
0
273.0
409.7
174.8
0
India-Western Region
2020
64.6
62.9
3.5
 
64.6
62.9
3.5
 
2030
111.0
173.5
19.4
43
110.6
196.4
20.0
66
2050
277.4
542.0
207.2
57
273.4
401.3
86.4
42
India-Southern Region
2020
60.6
59.1
3.5
 
60.6
59.1
3.2
 
2030
103.0
163.4
5.2
55
102.6
195.0
15.2
77
2050
252.8
507.5
164.8
90
249.1
448.0
76.7
122
Table 8.85 shows the storage and dispatch requirements under the 2.0 °C and 1.5 °C Scenarios. All the regions remain within the maximum curtailment target of 10%. Table 8.71 provides an overview of the calculated storage and dispatch power requirements by sub-region. Charging capacities are moderate compared with other world regions. Compared to all other world regions, hydrogen dispatch utilization is very low due to a relatively moderate increase in the gas and hydrogen capacities in India.
Table 8.85
India: storage and dispatch service requirements
Storage and dispatch
 
2.0 °C
1.5 °C
India
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
India-Northern Region
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
507
24,533
57
3063
3121
160
2050
1244
42
51
93
9873
734
38
51
89
8647
India-North-Eastern Region
2020
1
0
1
1.1
0
1
0
1
1.1
0
2030
307
1
65
66
0
3862
8
471
478
0
2050
4923
126
332
457
1025
258,992
219
1896
2115
11
India-Eastern Region
2020
0
0
0
0
0
0
0
0
0
0
2030
1657
10
427
437
476
54,903
95
4933
5028
156
2050
27,180
729
2154
2884
6813
46,793
1519
3163
4682
5715
India-Western Region
2020
0
0
0
0
0
0
0
0
0
0
2030
29,610
51
2978
3028
448
41,348
84
3928
4012
310
2050
174,263
1709
5618
7327
5037
28,209
1228
2263
3491
2020
India-Southern Region
2020
0
0
0
0
0
0
0
0
0
0
2030
27,824
42
2496
2537
328
57,916
88
4759
4847
144
2050
165,200
1643
5274
6917
5365
103,156
1891
4931
6822
2066
India
2020
1
0
1
1
0
1
0
1
1
0
2030
59,399
104
5966
6069
1759
182,561
333
17,154
17,487
769
2050
372,809
4248
13,430
17,678
28,113
437,884
4895
12,304
17,199
18,459

8.13 China

8.13.1 China: Long-Term Energy Pathways

8.13.1.1 China: Final Energy Demand by Sector

The future development pathways for China’s final energy demand when the assumptions on population growth, GDP growth and energy intensity are combined are shown in Fig. 8.89 for the 5.0 °C, 2.0 °C, and 1.5 °C Scenarios. In the 5.0 °C Scenario, the total final energy demand will increase by 56% from the current 73,600 PJ/year to 114,600 PJ/year in 2050. In the 2.0 °C Scenario, the final energy demand will decreases by 26% compared with current consumption and will reach 54,400 PJ/year by 2050. The final energy demand in the 1.5 °C Scenario will reach 49,200 PJ, 33% below the 2015 demand. In the 1.5 °C Scenario, the final energy demand in 2050 will be 10% lower than in the 2.0 °C Scenario. The electricity demand for ‘classical’ electrical devices (without power-to-heat or e-mobility) will increase from 3470 TWh/year in 2015 to around 5230 TWh/year in both alternative scenarios by 2050. Compared with the 5.0 °C case (9480 TWh/year in 2050), the efficiency measures in the 2.0 °C and 1.5 °C Scenarios save around 4250 TWh/year by 2050.
Electrification will lead to a significant increase in the electricity demand by 2050. In the 2.0 °C Scenario, the electricity demand for heating will be approximately 2800 TWh/year due to electric heaters and heat pumps and in the transport sector, the electricity demand will be approximately 4200 TWh/year due to electric mobility. The generation of hydrogen (for transport and high-temperature process heat) and the manufacture of synthetic fuels (mainly for transport) will add an additional power demand of 3900 TWh/year. Therefore, the gross power demand will rise from 5900 TWh/year in 2015 to 13,800 TWh/year in 2050 in the 2.0 °C Scenario, 11% higher than in the 5.0 °C case. In the 1.5 °C Scenario, the gross electricity demand will increase to a maximum of 13,300 TWh/year in 2050.
The efficiency gains in the heating sector could be even larger than in the electricity sector. In the 2.0 °C and 1.5 °C Scenarios, a final energy consumption equivalent to about 24,400 PJ/year and 27,600 PJ/year, respectively, will be avoided through efficiency gains by 2050 compared to the 5.0 °C Scenario.

8.13.1.2 China: Electricity Generation

The development of the power system is characterized by a dynamically growing renewable energy market and an increasing proportion of total power from renewable sources. By 2050, 100% of the electricity produced in China will come from renewable energy sources in the 2.0 °C Scenario. ‘New’ renewables—mainly wind, solar, and geothermal energy—will contribute 77% of the total electricity generation. Renewable electricity’s share of the total production will be 54% by 2030 and 84% by 2040. The installed capacity of renewables will reach about 2170 GW by 2030 and 5420 GW by 2050. The share of renewable electricity generation in 2030 in the 1.5 °C Scenario is assumed to be 63%. In the 1.5 °C Scenario, the generation capacity from renewable energy will be approximately 5310 GW in 2050.
Table 8.86 shows the development of different renewable technologies in China over time. Figure 8.90 provides an overview of the overall power-generation structure in China. From 2020 onwards, the continuing growth of wind and PV, up to 1670 GW and 2220 GW, respectively, will be complemented by up to 680 GW solar thermal generation, as well as limited biomass, geothermal, and ocean energy, in the 2.0 °C Scenario. Both the 2.0 °C and 1.5 °C Scenarios will lead to a high proportion of variable power generation (PV, wind, and ocean) of 28% and 34%, respectively, by 2030, and 51% and 52%, respectively, by 2050.
Table 8.86
China: development of renewable electricity-generation capacity in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Hydro
5.0 °C
320
395
424
477
525
 
2.0 °C
320
383
396
420
450
 
1.5 °C
320
383
396
420
450
Biomass
5.0 °C
11
24
29
39
48
 
2.0 °C
11
57
101
158
195
 
1.5 °C
11
72
106
160
195
Wind
5.0 °C
132
343
408
536
667
 
2.0 °C
132
428
678
1299
1674
 
1.5 °C
132
508
877
1460
1652
Geothermal
5.0 °C
0
0
0
1
3
 
2.0 °C
0
4
19
77
134
 
1.5 °C
0
7
29
77
119
PV
5.0 °C
43
265
330
430
565
 
2.0 °C
43
504
889
1614
2218
 
1.5 °C
43
604
1036
1781
2215
CSP
5.0 °C
0
3
5
7
11
 
2.0 °C
0
11
84
413
677
 
1.5 °C
0
16
103
391
614
Ocean
5.0 °C
0
0
0
1
1
 
2.0 °C
0
1
7
33
74
 
1.5 °C
0
1
7
33
62
Total
5.0 °C
505
1029
1196
1490
1819
 
2.0 °C
505
1390
2175
4015
5421
 
1.5 °C
505
1592
2555
4322
5307

8.13.1.3 China: Future Costs of Electricity Generation

Figure 8.91 shows the development of the electricity-generation and supply costs over time, including the CO2 emission costs, in all scenarios. The calculated electricity generation costs in 2015 (referring to full costs) were around 4.7 ct/kWh. In the 5.0 °C case, the generation costs will increase until 2030, when they reach 9.2 ct/kWh, and then drop to 8.8 ct/kWh by 2050. The generation costs will increase in the alternative scenarios until 2030, when they reach around 8 ct/kWh, and will then drop to 6.5 ct/kWh by 2050, 2.3 ct/kWh lower than in the 5.0 °C Scenario. Note that these estimates of generation costs do not take into account integration costs such as power grid expansion, storage, or other load-balancing measures.
In the 5.0 °C case, the growth in demand and increasing fossil fuel prices will cause total electricity supply costs to rise from today’s $310 billion/year to more than $1230 billion/year in 2050. In the 2.0 °C case, the total supply costs will be $1030 billion/year and $1010 billion/year in the 1.5 °C Scenario. Therefore, the long-term costs for electricity supply will be more than 16% lower in the alternative scenarios than in the 5.0 °C case.
Compared with these results, the generation costs when the CO2 emission costs are not considered will increase in the 5.0 °C case to 5.7 ct/kWh in 2030 and stabilize at 5.5 ct/kWh in 2050. In the 2.0 °C Scenario, they increase continuously until 2050, when they reach 6.6 ct/kWh. In the 1.5 °C Scenario, they will increase to 7 ct/kWh and then drop to 6.6 ct/kWh by 2050. In the 2.0 °C Scenario, the generation costs will be a maximum of 1 ct/kWh higher than in the 5.0 °C case, and this will occur in 2050. In the 1.5 °C Scenario, compared to the 5.0 °C Scenario, the maximum difference in generation costs will be 1.6 ct/kWh in 2040. The generation costs in 2050 will be 1.1 ct/kWh higher than in the 5.0 °C case. If the CO2 costs are not considered, the total electricity supply costs in the 5.0 °C case will rise to about $810 billion/year in 2050.

8.13.1.4 China: Future Investments in the Power Sector

An investment of around $9740 billion will be required for power generation between 2015 and 2050 in the 2.0 °C Scenario—including additional power plants for the production of hydrogen and synthetic fuels and investments for plant replacement at the end of their economic lifetimes. This value will be equivalent to approximately $271 billion per year on average and will be $5680 billion more than in the 5.0 °C case ($4060 billion). An investment of around $9840 billion for power generation will be required between 2015 and 2050 in the 1.5 °C Scenario. On average, this will be an investment of $273 billion per year. In the 5.0 °C Scenario, the investment in conventional power plants will be around 29% of the total cumulative investments, whereas approximately 71% will be invested in renewable power generation and co-generation (Fig. 8.92).
However, in the 2.0 °C (1.5 °C) Scenario, China will shift almost 97% (98%) of its entire investment to renewables and co-generation. By 2030, the fossil fuel share of the power sector investment will predominantly focus on gas power plants that can also be operated with hydrogen.
Because renewable energy has no fuel costs, other than biomass, the cumulative fuel cost savings in both alternative scenarios will reach a total of more than $6200 billion in 2050, equivalent to $173 billion per year. Therefore, the total fuel cost savings will be equivalent to 110% of the total additional investments compared to the 5.0 °C Scenario.

8.13.1.5 China: Energy Supply for Heating

The final energy demand for heating will increase in the 5.0 °C Scenario by 38% from 42,300 PJ/year in 2015 to 58,200 PJ/year in 2050. Energy efficiency measures will help to reduce the energy demand for heating by 42% in 2050 in the 2.0 °C Scenario, relative to the 5.0 °C case, and by 47% in the 1.5 °C Scenario. Today, renewables supply around 11% of China’s final energy demand for heating, with the main contribution from biomass. Renewable energy will provide 32% of China’s total heat demand in 2030 in the 2.0 °C Scenario and 46% in the 1.5 °C Scenario. In both scenarios, renewables will provide 100% of the total heat demand in 2050.
Figure 8.93 shows the development of different technologies for heating in China over time, and Table 8.87 provides the resulting renewable heat supply for all scenarios. Up to 2030, biomass will remain the main contributor. In the long term, the growing use of solar, geothermal, and environmental heat will lead to a biomass share of 24% in both alternative scenarios.
Table 8.87
China: development of renewable heat supply in the scenarios (excluding the direct use of electricity)
in PJ/year
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
2776
2095
2079
2291
2877
2.0 °C
2776
4609
5603
6254
5967
1.5 °C
2776
5378
6263
6055
5385
Solar heating
5.0 °C
892
1297
1515
1962
2535
2.0 °C
892
2066
2906
5454
5417
1.5 °C
892
2364
3242
4381
4360
Geothermal heat and heat pumps
5.0 °C
306
452
526
743
1026
2.0 °C
306
1304
2720
6690
9225
1.5 °C
306
1269
2884
5706
7943
Hydrogen
5.0 °C
0
0
0
0
0
2.0 °C
0
0
7
1020
4118
1.5 °C
0
0
7
1890
4549
Total
5.0 °C
3974
3844
4120
4996
6438
2.0 °C
3974
7978
11,237
19,417
24,727
1.5 °C
3974
9011
12,396
18,031
22,237
Heat from renewable hydrogen will further reduce the dependence on fossil fuels in both scenarios. Hydrogen consumption in 2050 will be around 4100 PJ/year in the 2.0 °C Scenario and to 4500 PJ/year in the 1.5 °C Scenario. The direct use of electricity for heating will also increase by a factor of 3.7–4 between 2015 and 2050 and electricity for heating will have a final energy share of 27% in 2050 in both the 2.0 °C Scenario and 1.5 °C Scenario.

8.13.1.6 China: Future Investments in the Heating Sector

The roughly estimated investments in renewable heating technologies up to 2050 will amount to around $2780 billion in the 2.0 °C Scenario (including investments for the replacement of plants after their economic lifetimes), or approximately $77 billion per year. The largest share of investment in China is assumed to be for heat pumps (around $1200 billion), followed by solar collectors and geothermal heat use. The 1.5 °C Scenario assumes an even faster expansion of renewable technologies. However, the lower heat demand (compared with the 2.0 °C Scenario) will result in a lower average annual investment of around $67 billion per year (Table 8.88, Fig. 8.94).
Table 8.88
China: installed capacities for renewable heat generation in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
1194
764
648
519
468
2.0 °C
1194
1284
1214
921
578
1.5 °C
1194
1267
1280
808
481
Geothermal
5.0 °C
0
0
0
0
0
2.0 °C
0
20
46
187
272
1.5 °C
0
20
42
139
161
Solar heating
5.0 °C
281
409
478
618
799
2.0 °C
281
592
843
1546
1539
1.5 °C
281
688
956
1252
1275
Heat pumps
5.0 °C
52
76
89
126
174
2.0 °C
52
151
251
449
565
1.5 °C
52
136
213
349
446
Totala
5.0 °C
1527
1250
1214
1263
1441
2.0 °C
1527
2048
2355
3103
2954
1.5 °C
1527
2111
2491
2549
2361
a Excluding direct electric heating

8.13.1.7 China: Transport

The energy demand in the transport sector in China is expected to increase in the 5.0 °C Scenario by 107% from around 12,600 PJ/year in 2015 to 26,100 PJ/year in 2050. In the 2.0 °C Scenario, assumed technical, structural, and behavioural changes will save 68% (17,840 PJ/year) by 2050 compared with the 5.0 °C Scenario. Additional modal shifts, technology switches, and a reduction in transport demand will lead to even higher energy savings in the 1.5 °C Scenario of 76% (or 19,900 PJ/year) in 2050 compared with the 5.0 °C case (Table 8.89, Fig. 8.95).
Table 8.89
China: projection of transport energy demand by mode in the scenarios
in PJ/year
Case
2015
2025
2030
2040
2050
Rail
5.0 °C
539
567
593
644
672
2.0 °C
539
589
637
687
762
1.5 °C
539
580
597
622
662
Road
5.0 °C
10,421
15,629
17,651
19,664
22,073
2.0 °C
10,421
11,509
9395
7143
5894
1.5 °C
10,421
9607
7372
4576
4020
Domestic aviation
5.0 °C
754
1234
1590
2070
2213
2.0 °C
754
814
742
592
470
1.5 °C
754
777
653
463
366
Domestic navigation
5.0 °C
877
984
1035
1113
1157
2.0 °C
877
984
1035
1113
1157
1.5 °C
877
984
1035
1113
1157
Total
5.0 °C
12,591
18,413
20,870
23,490
26,115
2.0 °C
12,591
13,895
11,809
9535
8284
1.5 °C
12,591
11,948
9657
6773
6206
By 2030, electricity will provide 21% (680 TWh/year) of the transport sector’s total energy demand in the 2.0 °C Scenario, whereas in 2050, the share will be 51% (1170 TWh/year). In 2050, up to 1600 PJ/year of hydrogen will be used in the transport sector as a complementary renewable option. In the 1.5 °C Scenario, the annual electricity demand is 860 TWh in 2050. The 1.5 °C Scenario also assumes a hydrogen demand of 1100 PJ/year by 2050.
Biofuel use is limited in the 2.0 °C Scenario to a maximum of 1900 PJ/year. Therefore, around 2030, synthetic fuels based on power-to-liquid will be introduced, with a maximum amount of 560 PJ/year in 2050. Due to the lower overall energy demand in transport, biofuel use will be reduced in the 1.5 °C Scenario to a maximum of around 1400 PJ/year. The maximum synthetic fuel demand will amount to 720 PJ/year.

8.13.1.8 China: Development of CO2 Emissions

In the 5.0 °C Scenario, China’s annual CO2 emissions will increase by 25%, from 9060 Mt. in 2015 to 11,320 Mt. in 2050. The stringent mitigation measures in both alternative scenarios will cause annual emissions to fall to 1990 Mt. in 2040 in the 2.0 °C Scenario and to 760 Mt. in the 1.5 °C Scenario, with further reductions to almost zero by 2050. In the 5.0 °C case, the cumulative CO2 emissions from 2015 until 2050 will add up to 392 Gt. In contrast, in the 2.0 °C and 1.5 °C Scenarios, the cumulative emissions for the period from 2015 until 2050 will be 174 Gt and 132 Gt, respectively.
Therefore, the cumulative CO2 emissions will decrease by 56% in the 2.0 °C Scenario and by 66% in the 1.5 °C Scenario compared with the 5.0 °C case. A rapid reduction in annual emissions will occur in both alternative scenarios. In the 2.0 °C Scenario the reduction will be greatest in the ‘Residential and other’ sector, followed by ‘Power generation’ and ‘Transport’ sectors (Fig. 8.96).

8.13.1.9 China: Primary Energy Consumption

The levels of primary energy consumption in the three scenarios when the assumptions discussed above are taken into account are shown in Fig. 8.97. In the 2.0 °C Scenario, the primary energy demand will decrease by 30%, from around 125,000 PJ/year in 2015 to 87,800 PJ/year in 2050. Compared with the 5.0 °C Scenario, the overall primary energy demand will decrease by 54% by 2050 in the 2.0 °C Scenario (5.0 °C: 192,300 PJ in 2050). In the 1.5 °C Scenario, the primary energy demand will be even lower (80,700 PJ in 2050) because the final energy demand and conversion losses will be lower.
Both the 2.0 °C and 1.5 °C Scenarios aim to rapidly phase-out coal and oil. This will cause renewable energy to have a primary energy share of 28% in 2030 and 92% in 2050 in the 2.0 °C Scenario. In the 1.5 °C Scenario, renewables will have a primary energy share of more than 91% in 2050 (including non-energy consumption, which will still include fossil fuels). Nuclear energy will be phased-out by 2050 in the 2.0 °C Scenario and by 2045 in the 1.5 °C Scenario. The cumulative primary energy consumption of natural gas in the 5.0 °C case will add up to 570 EJ, the cumulative coal consumption to about 3000 EJ, and the crude oil consumption to 1080 EJ. In contrast, in the 2.0 °C Scenario, the cumulative gas demand will amount to 360 EJ, the cumulative coal demand to 1360 EJ, and the cumulative oil demand to 430 EJ. Even lower fossil fuel use will be achieved in the 1.5 °C Scenario: 440 EJ for natural gas, 930 EJ for coal, and 340 EJ for oil.

8.13.2 China: Power Sector Analysis

China has by far the largest power sector of all world regions—about one quarter of the world’s total electricity generation. China’s National Energy Administration (NEA) released the 13th Energy Five-Year Plan (FYP) in January 2016 (IEA RED 2016). The FYP that is in force from 2016 to 2020 introduces framework legislation that defines energy development for the next 5 years in China. In parallel to the main Energy FYP, there are 14 additional supporting FYPs, such as the Renewable Energy 13th FYP, the Wind FYP, and the Electricity FYP, which were all released at about the same time (GWEC-NL 2018). According to the Renewable Energy 13th FYP, by 2020, the total RE electricity installations will reach 680 GW, with electricity production of 1900 TWh/year This will account for 27% of electricity production. The wind power target is set to reach 210 GW by 2020, with electricity production of 420 TWh, supplying 6% of China’s total electricity demand. The target for offshore wind is 5 GW by 2020 (GWEC-NL 2018). For other renewable power-generation technologies, the 2020 targets are 150 GW for solar PV, 10 GW for concentrated solar power (CSP), 15 GW for bioenergy, and 380 GW for hydropower, including 40 GW hydro pump storage (IEA-RED 2016). The renewable targets are consistent, to large extent, with both the 2.0 °C and 1.5 °C Scenarios. The onshore wind and solar PV capacities in both scenarios will increase to 50 GW and are within the current market size range. The targets for the 2.0 °C and 1.5 °C Scenarios for CSP, bioenergy, and offshore wind are slightly higher than current market volumes. However, the first decade of the 2.0 °C and 1.5 °C Scenarios will reflect the existing trends in China’s power sector.

8.13.2.1 China: Development of Power Plant Capacities

China’s solar PV and wind power markets are the largest in the world and represent about half the global annual market for solar PV (in 2017) and a third of the market for onshore wind. The continued growth of the annual renewable power market—for all technologies—for the Chinese market will continue to have a significant impact on other world regions. To implement the project’s 2.0 °C Scenario, the current solar PV market in China must remain at the 2017 level, and to achieve the 1.5 °C Scenario, it must double. The onshore wind market must increase by 50% compared with 2015 for the 2.0 °C Scenario and must triple to meet the 1.5 °C trajectory. All these annual market volumes must be maintained until 2035, before a moderate reduction in the annual market sizes can occur (Table 8.90).
Table 8.90
China: average annual change in installed power plant capacity
China power generation: average annual change of installed capacity [GW/a]
2015–2025
2026–2035
2036–2050
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Hard coal
5
−51
−55
−81
−41
−5
Lignite
0
0
0
0
0
0
Gas
4
28
6
30
−16
−17
Hydrogen-Gas
0
0
1
3
24
38
Oil/Diesel
0
−1
0
−1
0
0
Nuclear
3
0
−2
0
−3
−4
Biomass
6
10
9
8
5
5
Hydro
8
5
3
3
3
3
Wind (onshore)
31
65
46
64
36
29
Wind (offshore)
2
12
20
22
11
9
PV (roof top)
41
77
69
76
62
50
PV (utility scale)
14
26
23
25
21
17
Geothermal
1
4
5
6
8
6
Solar thermal power plants
1
13
34
29
40
30
Ocean energy
0
1
2
2
5
4
Renewable fuel based co-generation
4
9
10
9
8
8

8.13.2.2 China: Utilization of Power Generation Capacities

Across all regions, an interconnection capacity of 10% is assumed for the base year calculation. The interconnection capacity will increase to 20% by 2030, with no further increase thereafter. For the entire modelling period, it is assumed that Taiwan is not connected to any other region. Under the 2.0 °C Scenario, variable renewables will attain a share of around 30% in all sub-regions, whereas the 1.5 °C Scenario will lead to shares of over 40% in five of the seven sub-regions (Table 8.91).
Table 8.91
China: power system shares by technology group
Power generation structure and interconnection
 
2.0 °C
1.5 °C
China
Variable RE
Dispatch RE
Dispatch Fossil
Inter-connection
Variable RE
Dispatch RE
Dispatch fossil
Inter-connection
China-North
2015
7%
35%
58%
10%
    
2030
32%
21%
47%
20%
43%
29%
28%
20%
2050
53%
43%
4%
20%
53%
37%
9%
20%
China-Northwest
2015
7%
35%
58%
10%
    
2030
29%
22%
49%
20%
40%
31%
29%
20%
2050
49%
47%
3%
20%
54%
44%
2%
20%
China-Northeast
2015
6%
35%
60%
10%
    
2030
34%
24%
43%
20%
45%
31%
24%
20%
2050
54%
43%
4%
20%
54%
45%
2%
20%
China-Tibet
2015
7%
35%
58%
10%
    
2030
37%
34%
29%
20%
49%
37%
14%
20%
2050
43%
49%
7%
20%
42%
53%
5%
20%
China-Central
2015
6%
35%
60%
10%
    
2030
28%
26%
47%
20%
36%
32%
32%
20%
2050
41%
52%
7%
20%
44%
48%
9%
20%
China-East
2015
6%
35%
60%
10%
    
2030
30%
25%
45%
20%
36%
29%
35%
20%
2050
48%
47%
5%
20%
48%
38%
14%
20%
China-South
2015
6%
35%
60%
10%
    
2030
30%
28%
43%
20%
38%
31%
31%
20%
2050
49%
47%
4%
20%
48%
46%
6%
20%
Taiwan
2015
7%
35%
59%
0%
    
2030
31%
24%
46%
0%
39%
29%
31%
0%
2050
57%
40%
3%
0%
51%
37%
12%
0%
China
2015
6%
35%
59%
     
2030
30%
24%
46%
 
39%
30%
31%
 
2050
49%
47%
5%
 
49%
42%
9%
 
Table 8.92 shows the results of the capacity factor calculations done under the assumption that variable and dispatchable power plants will have priority access to the grid and priority dispatch. The average capacity factors for limited dispatchable power plants will remain at around 30% until 2030 under the 2.0 °C Scenario. This relatively low factor indicates an overcapacity in China’s power market. The curtailment rates of 20% (REW 1-2018) and more in 2017—mainly for wind farms—confirm this.
Table 8.92
China: capacity factors by generation type
Utilization of variable and dispatchable power generation:
 
2015
2020
2020
2030
2030
2040
2040
2050
2050
China
 
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Capacity factor – average
[%/yr]
42.0%
30%
28%
26%
21%
37%
24%
37%
26%
Limited dispatchable: fossil and nuclear
[%/yr]
39.2%
34%
29%
32%
25%
20%
17%
9%
16%
Limited dispatchable: renewable
[%/yr]
47.3%
20%
17%
21%
14%
68%
19%
47%
27%
Dispatchable: fossil
[%/yr]
30.7%
28%
40%
46%
34%
24%
37%
11%
37%
Dispatchable: renewable
[%/yr]
59.1%
27%
31%
28%
23%
47%
34%
62%
39%
Variable: renewable
[%/yr]
17.9%
15%
15%
17%
16%
22%
17%
22%
17%

8.13.2.3 China: Development of Load, Generation, and Residual Load

The load for China is calculated to continue to increase. Table 8.93 shows that the maximum load will double across all regions. However, the assumed interconnection rates of 20% are sufficient for the 2.0 °C Scenario, whereas significantly higher interconnection capacities will be required under the 1.5 °C Scenario. By 2050, all regions will have an oversupply under the 1.5 °C Scenario. This surplus electricity will be used to produce synthetic fuels and hydrogen. The [R]E 24/7 model does not interface with other world regions, so surplus generation will result in a negative residual load.
Table 8.93
China: load, generation, and residual load development
Power generation structure
 
2.0 °C
1.5 °C
China
Max demand
Max generation
Max residual load
Max interconnection requirements
Max demand
Max generation
Max residual load
Max interconnection requirements
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
China-North
2020
168.7
168.7
3.6
 
167.9
167.9
3.6
 
2030
215.6
222.5
22.5
0
213.0
292.8
25.8
54
2050
364.2
504.4
246.3
0
368.2
587.9
−133.4
353
China-Northwest
2020
77.4
80.5
6.1
 
77.1
82.4
6.1
 
2030
95.6
99.5
11.8
0
94.5
126.7
13.3
19
2050
135.3
206.2
114.3
0
136.9
246.4
−48.1
158
China-Northeast
2020
67.8
67.7
1.9
 
67.4
67.3
1.9
 
2030
83.9
96.3
12.9
0
82.7
126.3
13.8
30
2050
133.2
219.9
103.7
0
135.0
255.9
−22.8
144
China-Tibet
2020
0.8
0.8
0.0
 
0.8
0.8
0.0
 
2030
1.0
1.0
0.4
0
1.0
1.3
0.2
0
2050
2.3
2.4
1.4
0
2.4
2.8
−0.9
1
China-Central
2020
208.7
208.7
5.9
 
207.2
207.2
5.9
 
2030
262.7
260.5
44.9
0
258.4
329.5
34.5
37
2050
445.3
536.2
299.8
0
451.7
642.0
−218.4
409
China-East
2020
226.8
201.9
47.9
 
225.9
214.1
31.0
 
2030
286.3
284.3
40.1
0
283.6
372.4
41.5
47
2050
454.4
633.5
320.4
0
458.5
739.3
−132.0
413
China-South
2020
173.6
173.6
9.0
 
173.6
173.6
9.0
 
2030
242.3
238.6
36.2
0
239.6
312.0
44.6
28
2050
368.8
529.6
282.0
0
372.8
622.7
−49.1
299
Taiwan
2020
33.0
33.2
0.0
     
2030
46.0
45.9
3.8
0
45.7
52.5
5.9
1
2050
63.7
92.0
47.1
0
64.1
105.7
−4.0
46
Finally, Table 8.94 provides an overview of the calculated storage and dispatch power requirements in the Chinese region. The calculated hydro pump storage increase by 2050 is consistent with the Thirteenth Five-Year Plan’s requirement for 40 GW additional capacity. Furthermore, curtailment is within the acceptable range, at significantly below 10% in both scenarios by 2050. Battery capacities must increase significantly after 2030. The central, southern, and eastern sub-regions of mainland China have by far the highest storage requirements.
Table 8.94
China: storage and dispatch service requirements
Storage and dispatch
 
2.0 °C
1.5 °C
China
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
China-North
2020
0
0
0
0
0
0
0
0
0
0
2030
45
3
38
41
11
6734
62
2363
2425
0
2050
14,152
14,255
641
14,896
96,848
39,562
2958
6350
9308
17,528
China-Northwest
2020
158
2
302
304
0
326
3
547
550
0
2030
7
1
9
10
1
3401
38
1240
1278
0
2050
12,360
15,511
661
16,172
39,433
31,642
2171
4847
7018
10,080
China-Northeast
2020
0
0
0
0
0
0
0
0
0
0
2030
912
22
563
585
143
11,430
57
2362
2418
1
2050
24,955
22,345
1465
23,809
39,793
49,329
2238
5393
7631
10,012
China-Tibet
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
4
43
0
15
15
0
2050
0
0
0
0
754
3
1
1
3
230
China-Central Baltic
2020
0
0
0
0
0
0
0
0
0
0
2030
6
1
10
11
576
6013
74
2305
2379
1
2050
4763
7167
44
7211
167,132
23,175
2609
4372
6981
47,112
China-East
2020
0
0
0
0
0
0
0
0
0
0
2030
59
4
79
83
797
8720
95
3042
3137
0
2050
17,604
21,928
1036
22,964
148,351
50,402
3884
8341
12,225
18,866
China-South
2020
0
0
0
0
0
0
0
0
0
0
2030
74
7
89
96
961
8676
93
3086
3179
0
2050
21,703
28,028
1143
29,171
116,735
56,742
4139
9307
13,446
22,281
Taiwan
2020
0
0
0
0
0
0
0
0
0
0
2030
0
0
0
0
89
202
5
121
126
0
2050
6506
5734
943
6677
14,209
13,873
426
2985
3411
0
China
2020
158
2
302
304
0
326
3
547
550
0
2030
1102
39
789
827
2582
45,217
424
14,533
14,957
2
2050
102,042
114,967
5932
120,899
623,254
264,729
18,427
41,596
60,022
126,108

8.14 OECD Pacific

8.14.1 OECD Pacific: Long-Term Energy Pathways

8.14.1.1 OECD Pacific: Final Energy demand by Sector

The future development pathways for OECD Pacific’s final energy demand when the assumptions on population growth, GDP growth, and energy intensity are combined are shown in Fig. 8.98 for the 5.0 °C, 2.0 °C, and 1.5 °C Scenarios. In the 5.0 °C Scenario, the total final energy demand will decrease by 2%, from the current 20,100 PJ/year to 19,600 PJ/year in 2050. In the 2.0 °C Scenario, the final energy demand will decrease by 46% compared with current consumption and will reach 10,800 PJ/year by 2050. The final energy demand in the 1.5 °C Scenario will reach 10,200 PJ, 49% below the 2015 demand. In the 1.5 °C Scenario, the final energy demand in 2050 will be 6% lower than in the 2.0 °C Scenario. The electricity demand for ‘classical’ electrical devices (without power-to-heat or e-mobility) will decrease from 1520 TWh/year in 2015 to 1150 TWh/year in 2050 in both alternative scenarios. Compared with the 5.0 °C case (1890 TWh/year in 2050), the efficiency measures in the 2.0 °C and 1.5 °C Scenarios will save 740 TWh/year in 2050.
Electrification will lead to a significant increase in the electricity demand by 2050. The 2.0 °C Scenario has an electricity demand for heating of approximately 400 TWh/year due to electric heaters and heat pumps, and in the transport sector, the electricity demand will be approximately 1100 TWh/year due to electric mobility. The generation of hydrogen (for transport and high-temperature process heat) and the manufacture of synthetic fuels (mainly for transport) will add an additional power demand of 1000 TWh/year. Therefore, the gross power demand will rise from 1900 TWh/year in 2015 to 3000 TWh/year in 2050 in the 2.0 °C Scenario, 25% higher than in the 5.0 °C case. In the 1.5 °C Scenario, the gross electricity demand will increase to a maximum of 3400 TWh/year in 2050.
The efficiency gains in the heating sector could be even larger than in the electricity sector. In the 2.0 °C and 1.5 °C Scenarios, a final energy consumption equivalent to about 3000 PJ/year and 3100 PJ/year, respectively, will be avoided by 2050 through efficiency gains compared with the 5.0 °C Scenario.

8.14.1.2 OECD Pacific: Electricity Generation

The development of the power system is characterized by a dynamically growing renewable energy market and an increasing proportion of total power coming from renewable sources. By 2050, 100% of the electricity produced in OECD Pacific will come from renewable energy sources in the 2.0 °C Scenario. ‘New’ renewables—mainly wind, solar, and geothermal energy—will contribute 82% of total electricity generation. Renewable electricity’s share of the total production will be 60% by 2030 and 89% by 2040. The installed capacity of renewables will reach about 680 GW by 2030 and 1420 GW by 2050. The share of renewable electricity generation in 2030 in the 1.5 °C Scenario is assumed to be 68%. The 1.5 °C Scenario will have a generation capacity from renewable energy of approximately 1590 GW in 2050.
Table 8.95 shows the development of different renewable technologies in OECD Pacific over time. Figure 8.99 provides an overview of the overall power-generation structure in OECD Pacific. From 2020 onwards, the continuing growth of wind and PV, up to 320 GW and 830 GW, respectively, will complemented by up to 60 GW solar thermal generation, as well as limited biomass, geothermal, and ocean energy, in the 2.0 °C Scenario. Both the 2.0 °C and 1.5 °C Scenarios will lead to a high proportion of variable power generation (PV, wind, and ocean) of 40% and 47% by 2030, respectively, and of 68% in both scenarios by 2050.
Table 8.95
OECD Pacific: development of renewable electricity-generation capacity in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Hydro
5.0 °C
69
73
76
78
78
2.0 °C
69
76
78
82
84
1.5 °C
69
76
78
82
84
Biomass
5.0 °C
9
13
15
16
18
2.0 °C
9
23
26
35
43
1.5 °C
9
23
29
42
47
Wind
5.0 °C
9
23
28
40
56
2.0 °C
9
77
145
263
322
1.5 °C
9
84
198
335
384
Geothermal
5.0 °C
2
4
5
7
11
2.0 °C
2
4
14
27
37
1.5 °C
2
4
14
27
37
PV
5.0 °C
43
84
96
102
107
2.0 °C
43
225
394
701
831
1.5 °C
43
253
427
782
932
CSP
5.0 °C
0
0
0
1
1
2.0 °C
0
1
15
39
57
1.5 °C
0
1
20
49
67
Ocean
5.0 °C
0
1
1
2
4
2.0 °C
0
3
8
27
42
1.5 °C
0
3
8
27
42
Total
5.0 °C
132
197
221
246
275
2.0 °C
132
409
681
1176
1416
1.5 °C
132
444
774
1345
1594

8.14.1.3 OECD Pacific: Future Costs of Electricity Generation

Figure 8.100 shows the development of the electricity-generation and supply costs over time, including the CO2 emission costs, in all scenarios. The calculated electricity-generation costs in 2015 (referring to full costs) were around 8 ct/kWh. In the 5.0 °C case, the generation costs will increase until 2030, when they reach 11.1 ct/kWh, and then drop to 10.9 ct/kWh by 2050. The generation costs will increase in the 2.0 °C Scenario until 2030, when they reach 10.5 ct/kWh, and then drop to 8.3 ct/kWh by 2050. In the 1.5 °C Scenario, they will increase to 10.7 ct/kWh, and then drop to 8.5 ct/kWh by 2050. In the 2.0 °C Scenario, the generation costs in 2050 will be 2.6 ct/kWh lower than in the 5.0 °C case, and in the 1.5 °C Scenario, this difference will 2.4 ct/kWh. Note that these estimates of generation costs do not take into account integration costs such as power grid expansion, storage, or other load-balancing measures.
In the 5.0 ° C case, the growth in demand and increasing fossil fuel prices will cause the total electricity supply costs to rise from today’s $160 billion/year to more than $270 billion/year in 2050. In the 2.0 °C Scenario, the total supply costs will be $270 billion/year, and in the 1.5 °C Scenario, they will be $310 billion/year. The long-term costs for electricity supply will be only 2% higher in the 2.0 °C Scenario than in the 5.0 °C Scenario as a result of the estimated generation costs and the electrification of heating and mobility. Further electrification and synthetic fuel generation in the 1.5 °C Scenario will result in total power generation costs that are 17% higher than in the 5.0 °C case.
Compared with these results, the generation costs when the CO2 emission costs are not considered will increase in the 5.0 °C case to 8.3 ct/kWh in 2050. The generation costs in the 2.0 °C Scenario will increase until 2030, when they will reach 9.3 ct/kWh, and then drop to 8.3 ct/kWh by 2050. In the 1.5 °C Scenario, they will increase to 9.9 ct/kWh, and then drop to 8.5 ct/kWh by 2050. In the 2.0 °C Scenario, the generation costs will be a maximum of 1 ct/kWh higher than in the 5.0 °C case and this will occur in 2040. In the 1.5 °C Scenario, compared with the 5.0 °C Scenario, the maximum difference in the generation costs will be 1.4 ct/kWh, again in 2040. If the CO2 costs are not considered, the total electricity supply costs in the 5.0 °C case will rise to about $200 billion/year in 2050.

8.14.1.4 OECD Pacific: Future Investments in the Power Sector

An investment of around $2780 billion will be required for power generation between 2015 and 2050 in the 2.0 °C Scenario—including additional power plants for the production of hydrogen and synthetic fuels and investments in the replacement of plants at the end of their economic lifetimes. This value will be equivalent to approximately $77 billion per year on average, and will be $1520 billion more than in the 5.0 °C case ($1260 billion). An investment of around $3100 billion for power generation will required between 2015 and 2050 in the 1.5 °C Scenario. On average, this is an investment of $86 billion per year. In the 5.0 °C Scenario, the investment in conventional power plants will be around 56% of the total cumulative investments, whereas approximately 44% will be invested in renewable power generation and co-generation (Fig. 8.101).
However, in the 2.0 °C (1.5 °C) Scenario, OECD Pacific will shift almost 93% (95%) of its entire investment to renewables and co-generation. By 2030, the fossil fuel share of the power sector investment will predominantly focused on gas power plants that can also be operated with hydrogen.
Because renewable energy has no fuel costs, other than biomass, the cumulative fuel cost savings in the 2.0 °C Scenario will reach a total of $1420 billion in 2050, equivalent to $39 billion per year. Therefore, the total fuel cost savings will be equivalent to 90% of the total additional investments compared to the 5.0 °C Scenario. The fuel cost savings in the 1.5 °C Scenario will add up to $1510 billion, or $42 billion per year.

8.14.1.5 OECD Pacific: Energy Supply for Heating

The final energy demand for heating will increase in the 5.0 °C Scenario by 17%, from 7100 PJ/year in 2015 to 8300 PJ/year in 2050. Energy efficiency measures will help to reduce the energy demand for heating by 35% in 2050 in the 2.0 °C Scenario, relative to the 5.0 °C case, and by 37% in the 1.5 °C Scenario. Today, renewables supply around 7% of OECD Pacific’s final energy demand for heating, with the main contribution from biomass. Renewable energy will provide 33% of OECD Pacific’s total heat demand in 2030 in the 2.0 °C Scenario and 42% in the 1.5 °C Scenario. In both scenarios, renewables will provide 100% of the total heat demand in 2050.
Figure 8.102 shows the development of different technologies for heating in OECD Pacific over time, and Table 8.96 provides the resulting renewable heat supply for all scenarios. Up to 2030, biomass will remain the main contributor. The growing use of solar, geothermal, and environmental heat will lead, in the long term, to a biomass share of 37% in the 2.0 °C Scenario and of 35% in the 1.5 °C Scenario.
Table 8.96
OECD Pacific: development of renewable heat supply in the scenarios (excluding the direct use of electricity)
in PJ/year
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
314
471
504
584
714
2.0 °C
314
633
815
1250
1579
1.5 °C
314
650
823
1229
1463
Solar heating
5.0 °C
45
76
92
150
236
2.0 °C
45
221
452
737
819
1.5 °C
45
252
543
772
795
Geothermal heat and heat pumps
5.0 °C
30
33
34
36
38
2.0 °C
30
157
307
737
1119
1.5 °C
30
197
420
830
1094
Hydrogen
5.0 °C
0
0
0
0
0
2.0 °C
0
6
16
251
728
1.5 °C
0
9
160
642
772
Total
5.0 °C
390
580
629
769
988
2.0 °C
390
1017
1591
2975
4245
1.5 °C
390
1107
1946
3473
4124
Heat from renewable hydrogen will further reduce the dependence on fossil fuels in both scenarios. The hydrogen consumption in 2050 will be around 700 PJ/year in the 2.0 °C Scenario and 800 PJ/year in the 1.5 °C Scenario. The direct use of electricity for heating will also increases by a factor of 1.6 between 2015 and 2050, and will achieves a final energy share of 21% in 2050 in the 2.0 °C Scenario and 22% in the 1.5 °C Scenario.

8.14.1.6 OECD Pacific: Future Investments in the Heating Sector

The roughly estimated investments in renewable heating technologies up to 2050 will amount to around $530 billion in the 2.0 °C Scenario (including the investments for the replacement of plants after their economic lifetimes), or approximately $15 billion per year. The largest share of the investment in OECD Pacific is assumed to be for solar collectors (around $240 billion), followed by heat pumps and biomass technologies. The 1.5 °C Scenario assumes an even faster expansion of renewable technologies, but with a similar average annual investment of around $15 billion per year (Table 8.97, Fig. 8.103).
Table 8.97
OECD Pacific: installed capacities for renewable heat generation in the scenarios
in GW
Case
2015
2025
2030
2040
2050
Biomass
5.0 °C
44
60
63
69
75
2.0 °C
44
77
92
117
94
1.5 °C
44
79
91
113
80
Geothermal
5.0 °C
0
0
0
0
0
2.0 °C
0
3
8
20
28
1.5 °C
0
3
7
22
26
Solar heating
5.0 °C
13
22
27
43
69
2.0 °C
13
64
128
207
230
1.5 °C
13
73
152
215
224
Heat pumps
5.0 °C
5
5
5
5
6
2.0 °C
5
11
23
54
74
1.5 °C
5
16
36
63
71
Totala
5.0 °C
62
87
95
117
150
2.0 °C
62
156
250
397
426
1.5 °C
62
171
287
413
401
a Excluding direct electric heating

8.14.1.7 OECD Pacific: Transport

Energy demand in the transport sector in OECD Pacific is expected to decrease by 37% in the 5.0 °C Scenario, from around 6200 PJ/year in 2015 to 3900 PJ/year in 2050. In the 2.0 °C Scenario, assumed technical, structural, and behavioural changes will save 49% (around 1900 PJ/year) by 2050 compared with the 5.0 °C Scenario. Additional modal shifts, technology switches, and a reduction in the transport demand will lead to even higher energy savings in the 1.5 °C Scenario of 59% (or 2300 PJ/year) in 2050 compared with the 5.0 °C case (Table 8.98, Fig. 8.104).
Table 8.98
OECD Pacific: projection of transport energy demand by mode in the scenarios
in PJ/year
Case
2015
2025
2030
2040
2050
Rail
5.0 °C
158
162
163
162
161
2.0 °C
158
154
156
154
159
1.5 °C
158
156
156
162
161
Road
5.0 °C
5515
4317
3902
3365
2614
2.0 °C
5515
3961
2979
1837
1456
1.5 °C
5515
2891
1975
1399
1123
Domestic aviation
5.0 °C
331
524
663
863
922
2.0 °C
331
338
308
242
194
1.5 °C
331
307
240
147
109
Domestic navigation
5.0 °C
173
178
181
186
193
2.0 °C
173
178
181
186
193
1.5 °C
173
178
181
186
193
Total
5.0 °C
6176
5182
4908
4576
3890
2.0 °C
6176
4631
3624
2419
2002
1.5 °C
6176
3533
2551
1893
1586
By 2030, electricity will provide 20% (200 TWh/year) of the transport sector’s total energy demand in the 2.0 °C Scenario, whereas in 2050, the share will be 53% (300 TWh/year). In 2050, up to 480 PJ/year of hydrogen will be used in the transport sector as a complementary renewable option. In the 1.5 °C Scenario, the annual electricity demand will be 240 TWh in 2050. The 1.5 °C Scenario also assumes a hydrogen demand of 360 PJ/year by 2050.
Biofuel use is limited in the 2.0 °C Scenario and the 1.5 °C Scenario to a maximum of approximately 200 PJ/year. Therefore, around 2030, synthetic fuels based on power-to-liquid will be introduced, with a maximum amount of 270 PJ/year in 2050 in the 2.0 °C Scenario. Due to the lower overall energy demand in transport, the maximum synthetic fuel demand will amount to 210 PJ/year in the 1.5 °C Scenario.

8.14.1.8 OECD Pacific: Development of CO2 Emissions

In the 5.0 °C Scenario, OECD Pacific’s annual CO2 emissions will decrease by 21%, from 2080 Mt in 2015 to 1640 Mt in 2050. The stringent mitigation measures in both alternative scenarios will cause the annual emissions to fall to 280 Mt in 2040 in the 2.0 °C Scenario and to 160 Mt. in the 1.5 °C Scenario, with further reductions to almost zero by 2050. In the 5.0 °C case, the cumulative CO2 emissions from 2015 until 2050 will add up to 67 Gt. In contrast, in the 2.0 °C and 1.5 °C Scenarios, the cumulative emissions for the period from 2015 until 2050 will be 31 Gt and 26 Gt, respectively.
Therefore, the cumulative CO2 emissions will decrease by 54% in the 2.0 °C Scenario and by 61% in the 1.5 °C Scenario compared with the 5.0 °C case. A rapid reduction in the annual emissions will occur under both alternative scenarios. In the 2.0 °C Scenario, this reduction will be greatest in ‘Power generation’, followed by ‘Transport’ and ‘Industry’ (Fig. 8.105).

8.14.1.9 OECD Pacific: Primary Energy Consumption

The levels of primary energy consumption in the three scenarios when the assumptions discussed above are taken into account are shown in Fig. 8.106. In the 2.0 °C Scenario, the primary energy demand will decrease by 48%, from around 36,300 PJ/year in 2015 to 18,900 PJ/year in 2050. Compared with the 5.0 °C Scenario, the overall primary energy demand will decrease by 45% by 2050 in the 2.0 °C Scenario (5.0 °C: 34,700 PJ in 2050). In the 1.5 °C Scenario, the primary energy demand will be even lower (19,900 PJ in 2050) because the final energy demand and conversion losses will be lower.
Both the 2.0 °C Scenario and 1.5 °C Scenario aim to rapidly phase-out coal and oil. This will cause renewable energy to have a primary energy share of 33% in 2030 and 88% in 2050 in the 2.0 °C Scenario. In the 1.5 °C Scenario, renewables will have a primary energy share of more than 89% in 2050 (including non-energy consumption, which will still include fossil fuels). Nuclear energy will be phased-out in 2040 in both the 2.0 °C and 1.5 °C Scenarios. The cumulative primary energy consumption of natural gas in the 5.0 °C case will add up to 230 EJ, the cumulative coal consumption to about 300 EJ, and the crude oil consumption to 380 EJ. In contrast, in the 2.0 °C Scenario, the cumulative gas demand will amount to 150 EJ, the cumulative coal demand to 100 EJ, and the cumulative oil demand to 230 EJ. Even lower fossil fuel use will be achieved in the 1.5 °C Scenario: 150 EJ for natural gas, 70 EJ for coal, and 190 EJ for oil.

8.14.2 OECD Pacific: Power Sector Analysis

South Korea, Japan, Australia, and New Zealand form the OECD Pacific region (also referred to as OECD Asia Pacific or OECD Asia Oceania). Like Non-OECD Asia, a regional interconnected power market with regular electricity exchange is unlikely. Therefore, the region is broken down into seven sub-regions: (1) South Korea; (2) the north of Japan; (3) the south of Japan; (4) Australia’s National Electricity Market (NEM) (covering the entire east coast); (5) the SWIS-NT grid region (comprising Western Australia and the Northern Territory); (6) the North Island of New Zealand; and (7) the South Island of New Zealand. The sub-regions have very different electricity policies, power-generation structures, and demand patterns. In this analysis, simplifications that may not reflect the local conditions are made to ensure that the results comparable on a global level. Therefore, the results for specific countries are only estimates.

8.14.2.1 OECD Pacific: Development of Power Plant Capacities

The region has significant potential for all renewables, including the dominant renewable power technologies of solar PV and onshore wind. Japan has significant geothermal power resources, and offshore wind potentials are substantial across the region. There is also potential for ocean energy across the region, although it is currently a niche technology. Australia has one of the best solar resources in the world, so concentrated solar power plants will be an important part of both scenarios in Australia. Coal and nuclear capacities will be phased-out as plants come to the end of their lifetimes. In the 1.5 °C Scenario, the last coal power plant will be phased out just after 2030.
The solar PV market will reach 8 GW in 2020 under the 2.0 °C Scenario—the same level as the actual regional market of 8.3 GW (REN21-GSR 2018) in 2017—and increase rapidly to 43 GW by 2030. The 1.5 °C Scenario requires that solar PV will achieve an equal market size by 2030 and remain at this level until 2040.
However, the onshore market must increase significantly compared with the market in 2017, which was only 0.54 GW (GWEC-NL 2018). By 2025, 12 GW of onshore wind capacity must be installed annually across the region under the 2.0 °C Scenario, and 17 GW under the 1.5 °C Scenario. By 2030, geothermal, concentrated solar power, and ocean energy must increase by around 2 GW each (Table 8.99).
Table 8.99
OECD Pacific: average annual change in installed power plant capacity
OECD Pacific power generation: average annual change of installed capacity [GW/a]
2015–2025
2026–2035
2036–2050
2.0 °C
1.5C°
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Hard coal
−4
−9
−5
−4
−1
0
Lignite
0
−1
−2
−2
0
0
Gas
2
−2
−1
−3
−14
0
Hydrogen-gas
0
1
1
5
12
12
Oil/diesel
−3
−2
−2
−2
−1
−1
Nuclear
0
−5
−3
−3
−2
−2
Biomass
2
1
1
1
1
1
Hydro
2
1
0
1
0
0
Wind (onshore)
7
18
12
17
7
6
Wind (offshore)
1
4
5
5
2
2
PV (roof top)
17
33
33
33
16
21
PV (utility scale)
6
11
11
11
5
7
Geothermal
0
2
2
2
2
2
Solar thermal power plants
1
2
3
4
2
3
Ocean energy
0
1
2
2
2
2
Renewable fuel based co-generation
1
1
1
2
1
1

8.14.2.2 OECD Pacific: Utilization of Power Generation Capacities

The very different developments of variable and dispatch power plants in all sub-regions reflect the diversity the Pacific region. Table 8.100 shows that because there is no interconnection between the northern and southern parts of Japan, we assume that even within Japan, the separate electricity markets of the 50 Hz and 60 Hz regions will remain as they are. For Australia, it is assumed that the east- and west-coast electricity markets will have limited interconnection capacities by 2030. The North and South Islands of New Zealand are calculated to have an increased interconnection capacity by 2050.
Table 8.100
OECD Pacific: power system shares by technology group
Power generation structure and interconnection
 
2.0 °C
1.5 °C
OECD Pacific
Variable RE
Dispatch RE
Dispatch Fossil
Inter-connection
Variable RE
Dispatch RE
Dispatch Fossil
Inter-connection
South Korea
2015
4%
34%
61%
5%
    
2030
40%
18%
43%
20%
46%
17%
38%
0%
2050
70%
28%
2%
25%
62%
24%
14%
0%
Japan – North (50 Hz)
2015
4%
34%
61%
5%
    
2030
46%
26%
28%
20%
51%
23%
26%
0%
2050
72%
26%
2%
25%
64%
21%
15%
0%
Japan – South (60 Hz)
2015
4%
34%
61%
5%
    
2030
36%
38%
26%
20%
41%
35%
24%
0%
2050
72%
25%
2%
25%
64%
20%
15%
0%
Australia – East and South (NEM)
2015
5%
34%
61%
5%
    
2030
17%
82%
0%
20%
17%
83%
0%
10%
2050
73%
26%
2%
25%
67%
21%
12%
20%
Australia West and North (SWIS + NT)
2015
5%
34%
61%
5%
    
2030
41%
37%
22%
20%
46%
33%
21%
10%
2050
73%
25%
2%
25%
67%
21%
12%
20%
New Zealand – North Island
2015
5%
34%
61%
5%
    
2030
39%
61%
0%
20%
45%
55%
0%
10%
2050
77%
22%
2%
25%
70%
18%
12%
20%
New Zealand – South Island
2015
5%
34%
61%
5%
    
2030
39%
61%
0%
20%
45%
55%
0%
10%
2050
77%
22%
2%
25%
70%
18%
12%
20%
OECD Pacific
2015
4%
34%
61%
     
2030
40%
31%
30%
 
45%
29%
27%
 
2050
71%
26%
2%
 
64%
22%
14%
 
Table 8.101 shows that for the region as a whole, the limited dispatchable power plants will retain a relatively high capacity factor, compared with other regions, until after 2020 and decrease thereafter. The average capacity factors from 2030 onwards will be consistent with all other regions.
Table 8.101
OECD Pacific: capacity factors by generation type
Utilization of variable and dispatchable power generation:
 
2015
2020
2020
2030
2030
2040
2040
2050
2050
OECD Pacific
 
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
2.0 °C
1.5 °C
Capacity factor – average
[%/yr]
54.8%
55%
55%
29%
29%
29%
29%
34%
31%
Limited dispatchable: fossil and nuclear
[%/yr]
65.1%
54%
54%
26%
31%
19%
29%
25%
32%
Limited dispatchable: renewable
[%/yr]
42.7%
63%
54%
29%
30%
54%
25%
27%
25%
Dispatchable: fossil
[%/yr]
48.6%
48%
50%
20%
23%
35%
21%
19%
26%
Dispatchable: renewable
[%/yr]
43.1%
73%
73%
50%
52%
37%
46%
49%
46%
Variable: renewable
[%/yr]
23.2%
17%
17%
20%
20%
27%
27%
31%
28%

8.14.2.3 OECD Pacific: Development of Load, Generation, and Residual Load

Table 8.102 shows the development of the maximum load, generation, and resulting residual load in the Pacific region. To verify the calculation results, we compared the peak demands in Australia and Japan.
Table 8.102
OECD Pacific: load, generation, and residual load development
Power generation structure
 
2.0 °C
1.5 °C
OECD Pacific
Max demand
Max generation
Max Residual Load
Max interconnection requirements
Max demand
Max generation
Max residual load
Max interconnection requirements
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
[GW]
South Korea
2020
86.8
86.8
1.6
 
86.8
86.8
1.6
 
2030
92.3
145.0
6.6
46
94.5
167.5
14.9
58
2050
116.4
298.0
58.3
123
134.7
339.9
62.4
143
Japan – North (50 Hz)
2020
130.6
97.9
35.1
 
130.6
97.4
36.0
 
2030
79.1
125.0
4.1
42
81.6
145.4
4.1
60
2050
106.0
252.2
49.4
97
120.1
288.5
33.9
134
Japan – South (60 Hz)
2020
83.6
83.6
3.5
 
83.7
83.6
3.5
 
2030
87.5
126.1
4.8
34
90.4
148.0
11.3
46
2050
116.2
287.9
51.2
121
132.6
329.3
38.8
158
Australia – East and South (NEM)
2020
6.7
7.0
1.2
 
6.7
7.0
1.2
 
2030
4.3
6.4
3.8
0
4.4
6.6
3.9
0
2050
5.7
12.6
2.6
4
6.4
14.4
2.5
5
Australia West and North (SWIS + NT)
2020
32.6
32.6
1.1
 
32.6
32.6
1.1
 
2030
33.9
49.6
1.1
15
34.8
58.3
1.1
22
2050
44.7
111.5
21.3
45
51.4
127.4
22.5
53
New Zealand – North Island
2020
5.5
5.5
3.9
 
5.5
5.5
3.9
 
2030
5.0
6.9
0.2
2
5.1
8.2
0.2
3
2050
6.5
15.9
3.0
6
7.5
18.1
2.1
9
New Zealand – South Island
2020
1.3
4.4
0.0
     
2030
1.5
2.1
0.0
1
1.5
2.4
0.0
1
2050
2.0
4.8
0.9
2
2.2
5.4
0.6
3
The peak load for Australia’s NEM was calculated to be 32.6 GW in 2020, which corresponds to the reported summer peak of 32.5 GW in the summer of 2017/2018 (AER 2018). Japan’s peak demand was 152 GW in 2015 according to the Tokyo Electric Power Company (TEPCO -2018) and TEPCO predicts that it will be 136 GW in 2020, which is 11% lower.
In the long term, the Pacific region will be a renewable fuel producer for the export market. Therefore, the calculated increased interconnection capacities indicate overproduction, which will be used for international bunker fuels.
The storage and dispatch requirements for all sub-regions are shown in Table 8.103. The Pacific region has vast solar and wind resources and will therefore be one of the production hubs for synthetic fuels and hydrogen, which may be used for industrial processes, for bunker fuels, or to replace natural gas. Therefore, the storage and dispatch demand may vary significantly because they depend on the extent to which renewable fuel production is integrated into the national power sectors or used for dispatch and demand-side management. The more integrated the fuel production is, the lower the overall requirement for battery or hydro pump storage technologies. Further research is required to develop a dedicated plan to produce renewable bunker fuels in Australia.
Table 8.103
OECD Pacific: storage and dispatch service requirements
Storage and dispatch
 
2.0 °C
1.5 °C
OECD Pacific
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total Storage demand (incl. H2)
Dispatch Hydrogen-based
Required to avoid curtailment
Utilization battery
-through-put-
Utilization PSH
-through-put-
Total storage demand (incl. H2)
Dispatch hydrogen-based
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
[GWh/year]
South Korea
2020
0
0
0
0
70
0
0
0
0
51
2030
13,803
275
1968
2242
241
27,635
400
3197
3596
890
2050
156,658
46,248
8717
54,965
22,747
176,909
45,195
8599
53,793
16,906
Japan – North (50 Hz)
2020
0
0
0
0
85
0
0
0
0
62
2030
25,236
357
2820
3177
200
44,298
418
3819
4238
131
2050
156,580
32,626
6784
39,411
21,744
185,902
32,676
6917
39,594
15,831
Japan – South (60 Hz)
2020
0
0
0
0
121
0
0
0
0
88
2030
21,734
343
2320
2663
303
37,937
439
3490
3929
774
2050
199,561
38,310
8309
46,618
24,062
233,815
38,207
8381
46,588
17,382
Australia – East and South (NEM)
2020
114
0
0
0
15
202
0
0
0
11
2030
850
0
55
55
0
1696
0
86
86
0
2050
9375
1983
457
2440
924
11,304
1981
472
2453
538
Australia West and North (SWIS + NT)
2020
4
0
0
0
0
49
0
0
0
0
2030
11,311
219
1621
1840
87
19,866
255
2289
2544
79
2050
90,062
18,266
4625
22,891
8053
103,839
18,187
4637
22,824
5140
New Zealand – North Island
2020
0
0
0
0
4
0
0
0
0
3
2030
1223
20
142
162
0
2165
26
221
247
0
2050
12,361
2316
546
2862
1090
14,474
2304
548
2852
779
New Zealand – South Island
2020
0
0
0
0
0
0
0
0
0
0
2030
374
6
43
49
0
658
8
67
74
0
2050
3733
695
164
859
328
4371
691
164
855
235
OECD Pacific
2020
118
0
0
0
295
251
0
0
0
215
2030
84,079
1246
9157
10,403
831
146,440
1564
13,290
14,855
1874
2050
654,287
140,807
29,623
170,431
81,215
760,962
139,369
29,724
169,093
59,243
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Assumption: average size of one coal power plant side contains multiple generation blocks, with a total of 1200 MW on average for each location.
 
Literatur
Zurück zum Zitat ASEAN (2018), The Association of Southeast Asian Nations, or ASEAN, was established on 8 August 1967 in Bangkok, Thailand, with the signing of the ASEAN Declaration (Bangkok Declaration) by the Founding Fathers of ASEAN, namely Indonesia, Malaysia, Philippines, Singapore and Thailand. Brunei Darussalam then joined on 7 January 1984, Viet Nam on 28 July 1995, Lao PDR and Myanmar on 23 July 1997, and Cambodia on 30 April 1999, making up what is today the ten Member States of ASEAN. (Source: https://asean.org/asean/about-asean/) ASEAN (2018), The Association of Southeast Asian Nations, or ASEAN, was established on 8 August 1967 in Bangkok, Thailand, with the signing of the ASEAN Declaration (Bangkok Declaration) by the Founding Fathers of ASEAN, namely Indonesia, Malaysia, Philippines, Singapore and Thailand. Brunei Darussalam then joined on 7 January 1984, Viet Nam on 28 July 1995, Lao PDR and Myanmar on 23 July 1997, and Cambodia on 30 April 1999, making up what is today the ten Member States of ASEAN. (Source: https://​asean.​org/​asean/​about-asean/​)
Metadaten
Titel
Energy Scenario Results
verfasst von
Sven Teske
Thomas Pregger
Tobias Naegler
Sonja Simon
Johannes Pagenkopf
Bent van den Adel
Özcan Deniz
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-05843-2_8