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Energy Efficiency
Erschienen in: Energy Efficiency 6/2014

01.12.2014 | Original Article

Energy efficiency improvement potentials and a low energy demand scenario for the global industrial sector

verfasst von: Katerina Kermeli, Wina H. J. Graus, Ernst Worrell

Erschienen in: Energy Efficiency | Ausgabe 6/2014

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Abstract

The adoption of energy efficiency measures can significantly reduce industrial energy use. This study estimates the future industrial energy consumption under two energy demand scenarios: (1) a reference scenario that follows business as usual trends and (2) a low energy demand scenario that takes into account the implementation of energy efficiency improvement measures. These scenarios cover energy demand in the period 2009–2050 for ten world regions. The reference scenario is based on the International Energy Agency World Energy Outlook (2011 edition) up to 2035 and is extrapolated by Gross Domestic Product projections for the period 2035–2050. According to the reference scenario, the industrial energy use will increase from 105 EJ in 2009 to 185 EJ in 2050 (excluding fuel use as a feedstock). It is estimated that, with the adoption of energy efficient technologies and increased recycling, the growth in industrial energy use in 2050 can be limited to 140 EJ, an annual energy use increase of 0.7 % compared with the 2009 case. The 2050 industrial energy use in the low energy demand scenario is estimated to be 24 % lower than the 2050 energy use in the reference scenario. The results of this study highlight the importance of industrial energy efficiency by providing insights of the energy savings potentials in different regions of the world.
Vorheriger Artikel Factors that influence consumers’ acceptance of future energy systems: the effects of adjustment type, production level, and price
Nächster Artikel A framework for home energy management and its experimental validation

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Fußnoten
1
In this study, unless otherwise mentioned, industrial energy use also includes the energy use in coke ovens and blast furnaces that is reported in IEA statistics under the transformation processes and under the industry’s own use, and excludes the energy use in refineries and as a feedstock. The energy use in coke ovens and blast furnaces reported under the transformation processes represents the transformation losses for producing coke oven coke, coke oven gas, blast furnace gas, and other recovered gases while the energy use in coke ovens and blast furnaces reported under the industry’s own use represents the primary and secondary energy used for supporting the industrial activity, i.e., energy use for heating, pumping, and other purposes (IEA 2004; 2011b).
 
2
In 2009, the worldwide industrial energy use was 105 EJ excluding feedstock use and 126 EJ including feedstock use (IEA 2011a).
 
3
The WEO energy data do not include the energy used in coke ovens and blast furnaces.
 
4
For the Middle East, we assume no energy savings since data for specific energy consumption are low.
 
5
Best practice fuel and electricity use for cement making is based on Worrell et al. (2008b) for cement with 65 % Blast Furnace Slag.
 
6
In the Saygin et al. (2011b) study, the chemicals included under HVCs are: ethylene, propylene, benzene, butadiene, acetylene, and hydrogen (sold as a fuel). The chemicals not included are: toluene and xylene.
 
7
3,000 kWh/tonne in Japan, 3,500 kWh/tonne in Western Europe, and 4,300 kWh/tonne in the United States
 
8
This is AC electricity use, also including electricity use in rectifiers for converting AC current to DC and electricity use in auxiliary equipment.
 
9
Although by definition the adoption of BAT would result into more energy savings than the BPT adoption, it is not clear why in the IEA study a lower energy savings potential than in Saygin et al. (2011a) is estimated.
 
10
Similarly to the reference scenario in our study, the 6DS of IEA is based on the continuation of current trends.
 
11
In the IEA energy statistics, the default conversion factor used for converting electricity generation from hydropower to primary energy is 100 %.
 
Literatur
De Beer, J. (1998). Potential for industrial energy-efficiency improvement in the long term. PhD thesis, Utrecht University, Utrecht, the Netherlands.
De Beer, J., Worrell, E., & Blok, K. (1998). Future technologies for energy-efficient iron and steel making. Annual Review of Energy and the Environment, 23, 123–205.CrossRef
Energy Information Administration (EIA). (1999). Model documentation report: Industrial sector demand module of the national energy modeling system. Energy Information Administration. Washington, D.C: U.S. Department of Energy.
Fleiter, T., Schlomann, B., & Eichhammer, W. (2013). Energieverbrauch und CO 2 -Emissionen industrieller Prozesstechnologien—Einsparpotenziale, Hemmnisse und Instrumente, Stuttgart, Germany.
Fruehan, R. J., Fortini, O., Paxton, H. W., & Brindle, R. (2000). Theoretical minimum energies to produce steel for selected conditions. Pittsburgh: Carnegie Mellon University.CrossRef
Graus, W., Blomen, E., & Worrell, E. (2011). Global energy efficiency improvement in the long term: A demand- and supply-side perspective. Energy Efficiency, 4, 435–463.CrossRef
Graus, W., & Kermeli, K. (2012). Energy demand projections for energy [R]evolution 2012. Utrecht University, commissioned by Greenpeace International and DLR.
Graus, W., & Worrell, E. (2011). Methods for calculating CO2 intensity of power generation and consumption: A global perspective. Energy Policy, 39, 613–627.CrossRef
Green, J. A. S. (2007). Aluminum recycling and processing for energy conservation and sustainability. Materials Park: ASM International.
Gu, S., & Wu, J. (2012). Review on the energy saving technologies applied in Bayer process in China (pp. 379–384). Perth: Proceeding of the 9th International alumina quality workshop 2012.
Hekkert, M.P., Joosten L.A.J., & Worrell, E. (1998). Material efficiency improvement for European packaging in the period 2000–2020. In Factor 2 / Factor 10, Utrecht.
Henrickson, L. (2010). The need for energy efficiency in Bayer refining. Proceedings of TMS Annual Meeting – Light Metals, 173-178.
International Energy Agency (IEA) (2004). Energy statistics manual. Paris, France.
International Energy Agency (IEA) (2007). Tracking industrial energy efficiency and CO 2 emissions. Paris, France.
International Energy Agency (IEA) (2008). Energy Technology Perspectives 2008—Scenarios And Strategies To 2050. Paris, France.
International Energy Agency (IEA) (2009a). Energy technology transitions for industry: Strategies for the next industrial revolution. Paris, France.
International Energy Agency (IEA). (2009b). Chemical and petrochemical sector: Potential of best practice technology and other measures for improving energy efficiency. Paris: IEA Information Paper.
International Energy Agency (IEA) (2011a). Energy balances 2011 edition with 2009 data. Paris, France.
International Energy Agency (IEA) (2011b). Key world energy statistics-2011. Paris, France.
International Energy Agency (IEA) (2011c). World energy outlook 2011 edition. Paris, France.
International Energy Agency (IEA) (2012). Energy technology perspectives 2012—Pathways to a clean energy system. Paris, France.
Kermeli, K., Worrell, E., & Masanet, E. (2011). Energy efficiency improvement and cost saving opportunities for the concrete industry. Berkeley: Lawrence Berkeley National Laboratory (LBNL).CrossRef
Lempert, R.J., Popper, S.W., Resetar, S.A., & Hart, S.L. (2002). Capital cycles and the timing of climate change policy. Pew center on global climate change, Washington, D.C.
Li, W., Liu, J., Liu, Z., & Wang, Y. (2008). The most important sustainable development issues of Chinese alumina industry. Light Metals, 191-195.
Linhoff March (2000). The methodology and benefits of total site pinch analysis. Linhoff March Energy Services.
Milford, R. L., Allwood, J. M., & Cullen, J. M. (2011). Assessing the potential of yield improvements, through process scrap reduction, for energy and CO2 abatement in the steel and aluminium sectors. Resources, Conservation and Recycling, 55, 1185–1195.CrossRef
Nadel, S. (2012). The rebound effect: Large or small? Washington: American Council for an Energy-Efficient Economy (ACEEE).
Neelis, M., & Patel, M. (2006). Long-term production, energy consumption and CO 2 emission scenarios for the worldwide iron and steel industry. Utrecht University.
Pardo, N., Moya, J.A., & Vatoppoulos, K. (2012). Prospective scenarios on energy efficiency and CO 2 emissions in the EU iron & steel industry. JRC scientific and policy reports. Luxembourg.
Phylipsen, G.J.M. (2000). International comparisons & national commitments, analysing energy and technology differences in the climate debate. PhD thesis. Utrecht University. Utrecht, The Netherlands.
Ryan, L., & Campbell, L. (2012). Spreading the net: The multiple benefits of energy efficiency improvements. Paris: International Energy Agency (IEA).
Saunders, H. (2013). Is what we think of as “rebound” really just income effects in disguise? Energy Policy, 57, 308–317.MathSciNetCrossRef
Saygin, D., Worrell, E., Patel, M. K., & Gielen, D. J. (2011a). Benchmarking the energy use of energy-intensive industries in industrialized and in developing countries. Energy, 36, 6661–6673.CrossRef
Saygin, D., Patel, M. K., Worrell, E., Tam, C., & Gielen, D. J. (2011b). Potential of best practice technology to improve energy efficiency in the global chemical and petrochemical sector. Energy, 36, 5779–5790.CrossRef
Saygin, D., Patel, M.K., & Gielen, D.J. (2010). Global industrial energy efficiency benchmarking—An energy policy tool. Working paper. Vienna, Austria.
Sinton, J. E., Lewis, J. I., Price, L. K., & Worrell, E. (2002). China’s sustainable energy future scenarios and carbon emissions analysis. Sub-report 11: International trends in energy efficiency technologies and policies. Berkeley: Lawrence Berkeley National Laboratory (LBNL).
Smith, P. (2009). The processing of high silica bauxites—Review of existing and potential processes. Hydrometallurgy, 98, 162–176.CrossRef
Sorrell, S., Dimitropoulos, J., & Sommerville, M. (2009). Empirical estimates of the rebound effect: A review. Energy Policy, 37, 1356–1371.CrossRef
Staudt, J. (2009). Memorandum to Ravi Srivastava, Samudra Vijay, and Elineth Torres. Costs and performance of controls—Revised from comments. Andover Technology Partners.
Trudeau, N., Tam, C., Craczyk, D., & Taylor, P. (2011). Energy transition for industry: India and the global context. Paris: IEA Information Paper.CrossRef
UBA (2010). Role and potential of renewable energy and energy efficiency for global energy supply. By DLR/Ecofys/Wuppertal Institute. Commissioned by Ministry of Environment, Germany.
United States Geological Survey (USGS) (2002). 2002 Minerals yearbook—Cement [advance release]. Reston, United States.
United States Geological Survey (USGS) (2007). 2005 Minerals yearbook—Cement [advance release]. Reston, United States.
United States Geological Survey (USGS) (2011a). 2010 Minerals yearbook—Aluminum [advance release]. Reston, United States.
United States Geological Survey (USGS) (2011b). 2010 Minerals yearbook—Bauxite and alumina [advance release]. Reston, United States.
United States Geological Survey (USGS) (2012). 2010 Minerals yearbook—Cement [advance release]. Reston, United States.
Waide P., & Brunner, C.U. (2011). Energy-efficiency policy opportunities for electric motor-driven systems. International Energy Agency (IEA), working paper. Paris, France.
Wei, T. (2010). A general equilibrium view of global rebound effects. Energy Economics, 32(3), 661–672.CrossRef
Wischnewski, R., de Azevedo, C. M., Jr., Moraes, E. L. S., Jr., & Monteiro, A. B. (2011). ALUNORTE global energy efficiency. Light Metals, 2011, 179–184.
World Business Council for Sustainable Development/Cement Sustainability Initiative-European Cement Research Academy (WBCSD/CSI-ECRA) (2009). Development of state of the art-techniques in cement manufacturing: Trying to look ahead. Dusseldorf, Geneva.
World Bank. (2013). World Development Indicators (WDI) 2009. Washington: World Bank.
Worrell, E., Faaij, A. P. C., Phylipsen, G. J. M., & Blok, K. (1995). An approach for analysing the potential for material efficiency improvement. Resources, Conservation and Recycling, 13, 215–232.CrossRef
Worrell, E., Martin, N., & Price, L. (1999). Energy efficiency and carbon dioxide emissions reduction opportunities in the U.S, iron and steel sector. Berkeley: Lawrence Berkeley National Laboratory (LBNL).CrossRef
Worrell, E., & Biermans, G. (2005). Move over! Stock turnover, retrofit and industrial energy efficiency. Energy Policy, 33(7), 949–962.CrossRef
Worrell, E., & Galitsky, C. (2008). Energy efficiency improvement and cost saving opportunities for cement making. Berkeley: Lawrence Berkeley National Laboratory (LBNL).CrossRef
Worrell, E., Galitsky, C., Masanet, E., & Graus, W. (2008a). Energy efficiency improvement and cost saving opportunities for the glass industry. Berkeley: Lawrence Berkeley National Laboratory (LBNL).CrossRef
Worrell, E., Price, L., Neelis, M., Galitsky, C., & Nan, Z. (2008b). World best practice energy intensity values for selected industrial sectors. Berkeley: Lawrence Berkeley National Laboratory (LBNL).
Worrell, E., Angelini, T., & Masanet, E. (2010). Managing your energy. Berkeley: Lawrence Berkeley National Laboratory (LBNL).
Worrell, E., Kermeli, K., & Galitsky, C. (2013). Energy efficiency improvement and cost saving opportunities for cement making. Washington DC: United States Environmental Protection Agency (U.S. EPA).
Xu, J.-H., Fleiter, T., Eichhammer, W., & Fan, Y. (2012). Energy consumption and CO2 emissions in China’s cement industry: A perspective from LMDI decomposition analysis. Energy Policy, 50, 821–832.CrossRef
Metadaten
Titel
Energy efficiency improvement potentials and a low energy demand scenario for the global industrial sector
verfasst von
Katerina Kermeli
Wina H. J. Graus
Ernst Worrell
Publikationsdatum
01.12.2014
Verlag
Springer Netherlands
Erschienen in
Energy Efficiency / Ausgabe 6/2014
Print ISSN: 1570-646X
Elektronische ISSN: 1570-6478
DOI
https://doi.org/10.1007/s12053-014-9267-5

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