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Erschienen in: Energy Efficiency 2/2014

01.04.2014 | Original Article

The savings of energy saving: interactions between energy supply and demand-side options—quantification for Portugal

verfasst von: Sofia Simoes, Júlia Seixas, Patrícia Fortes, Gjalt Huppes

Erschienen in: Energy Efficiency | Ausgabe 2/2014

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Abstract

Reducing demand by increasing end-use energy efficiency on the demand side of energy systems may also have advantages in reducing fossil dependency and greenhouse gas (GHG) emissions on the supply side. This paper addresses interactions between energy supply- and demand-side policies, by estimating the impact of measures addressing end-use energy efficiency and small-scale renewables uses in terms of (1) avoided large-scale electricity generation capacity, (2) final energy consumption, (3) share of renewables in final energy and (4) reduction of GHG emissions. The Portuguese energy system is used as a case study. The TIMES_PT bottom-up model was used to generate four scenarios covering the period up to 2020, corresponding to different levels of efficiency of equipment in buildings, transport and industry. In the current policy scenario, the deployment of end-use equipment follows the 2000–2005 trends and the National Energy Efficiency Action Plan targets. In the efficient scenarios, all types of equipment can be replaced by more efficient ones. Results show that aggressive demand-side options for the industry and buildings sector and the small-scale use of renewables can remove the need for the increase in large-scale renewable electricity capacity by 4.7 GW currently discussed by policy makers. Although these measures reduce total final energy by only 0–2 %, this represents reductions of 11–14 % in the commercial sector, with savings in total energy system costs of approximately 3,000 million euros2000—roughly equivalent to 2 % of the 2010 Portuguese GDP. The cost-effectiveness of policy measures should guide choices between supply shifts and demand reduction. Such balanced policy development can lead to substantial cost reductions in climate and energy policy.

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1
Some reasons for this preference of policy makers are: greater familiarity with and reliability of centralised technologies; easier access to more reliable investment funding for such technologies; easier acceptance of the technologies by key institutions such as planning bodies, and the vested interests and lobbying power of various stakeholder groups (WCD 2000). Savings are mostly more diffuse, with more complex behavioural mechanisms involved, and with plain inertia also playing a role (Jaffe and Stavins 1994; Schleich 2009; de Groot et al. 2001; Sorrell et al. 2004).
 
2
An example is the Portuguese Portaria no. 765/2010 of August 20th 2010, which defines an annual monetary incentive in euros per installed MW applicable to plants above 50 MW to ensure the availability of plants for dispatch by the Transmission System Operator and to provide an “incentive to investment”. This law applies to both existing and new fossil and RES power plants, with a view to promoting security of supply, thus counteracting the 2020 National Energy Strategy (ENE2020) policy objectives of promoting RES and reducing GHG emissions. The value of the incentive ranges from 20 000 to 43 000 euros/MW per year depending on the age of the power plant and the reserve capacity of the electric system.
 
3
Although other criteria are relevant to evaluate policies and policy instruments and measures, such as effectiveness, efficiency, feasibility and equity, this paper only focuses on cost-effectiveness, for the sake of simplicity.
 
4
The Portuguese NEEAP lists a comprehensive set of policy instruments to promote end-use energy efficiency, including small-scale RES technologies like solar thermal panels. However, with the exception of energy certificates for buildings and a tax on inefficient lamps, the measures in most cases do not include quantitative indicators for their implementation (only a quantification of their results in terms of energy savings) and thus cannot be translated into the model.
 
5
Acronym for The Integrated MARKAL-EFOM system. TIMES is the successor of two older ETSAP bottom-up energy models: Markal—MARKet Allocation Model and EFOM—Energy Flow Optimisation Model, developed in the 1980s.
 
6
Energy Technology Systems Analysis Programme
 
10
Assuming investment costs of 440 million euros2000/GW in 2020 for the new gas-fuelled CCGT power plants. These costs were validated in 2008 and 2010 with Portuguese electricity companies and TSO.
 
11
Strictly speaking, the operation and maintenance costs of the onshore wind plants should also be considered here, but since these represent a minor fraction of the total electricity cost (1 % of investment for fixed costs) they were left out for the sake of simplicity.
 
12
More information on the NEEDS project can be found at http://​www.​needs-project.​org/​. EFDA is the European Fusion Development Agreement. More information on EFDA can be found at: http://​www.​efda.​org/​fusion/​.
 
13
We have considered a per capita electricity consumption for 2005 of 4.157 GWh/1,000 inhabitants and have estimated the electricity generated in 2020 with the installed capacity in Table 3 (plus oil, coal and gas plants existing in 2010) and the literature-derived AF presented in Table 4. We did not include CHP here.
 
14
In 2011, Endesa and GALP no longer had plans in place to build the CCGT plants at Lavos and Sines.
 
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Metadaten
Titel
The savings of energy saving: interactions between energy supply and demand-side options—quantification for Portugal
verfasst von
Sofia Simoes
Júlia Seixas
Patrícia Fortes
Gjalt Huppes
Publikationsdatum
01.04.2014
Verlag
Springer Netherlands
Erschienen in
Energy Efficiency / Ausgabe 2/2014
Print ISSN: 1570-646X
Elektronische ISSN: 1570-6478
DOI
https://doi.org/10.1007/s12053-013-9217-7

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