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Barriers to energy efficiency in industrial bottom-up energy demand models--A review

  • Fleiter, Tobias
  • Worrell, Ernst
  • Eichhammer, Wolfgang
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    The goal of this paper is to review bottom-up models for industrial energy demand with a particular focus on their capability to model barriers to the adoption of energy-efficient technologies. The integration of barriers into the models is an important prerequisite for a more detailed and realistic modeling of policies for energy efficiency. Particularly with the emergence of more and more varying policy instruments, it also becomes crucial for the models to take account of these policies as well as the barriers they address in a more realistic way. Our review revealed that, despite the broadly evident existence of market failures and barriers for energy-efficient technologies, they are only partly and in a rather aggregated form considered in today's bottom-up models. The state-of-the-art bottom-up model is based on an explicit representation of the technology stock and considers the costs of energy efficiency options in detail. But with regard to barriers, most models only make use of an aggregated approach, like an adjusted discount rate. While some models do not even consider technology costs and energy prices, but instead use exogenous technology diffusion rates, other more advanced models took first steps towards considering barriers in more detail. The latter allows differentiation between multiple parameters that influence technology adoption. Still, even in the most advanced models, only a few of the observed barriers are explicitly considered. At the same time, new approaches to considering barriers like uncertainty or the (slow) spread of information are being developed in other disciplines. We conclude the paper by summarizing promising ways to improve representation of barriers in bottom-up models.

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    Article provided by Elsevier in its journal Renewable and Sustainable Energy Reviews.

    Volume (Year): 15 (2011)
    Issue (Month): 6 (August)
    Pages: 3099-3111

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    1. Kainuma, Mikiko & Matsuoka, Yuzuru & Morita, Tsuneyuki & Masui, Toshihiko & Takahashi, Kiyoshi, 2004. "Analysis of global warming stabilization scenarios: the Asian-Pacific Integrated Model," Energy Economics, Elsevier, vol. 26(4), pages 709-719, July.
    2. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    3. Newell, Richard & Anderson, Soren, 2002. "Information Programs for Technology Adoption: The Case of Energy-Efficiency Audits," Discussion Papers dp-02-58, Resources For the Future.
    4. Pizer, William A. & Popp, David, 2007. "Endogenizing Technological Change: Matching Empirical Evidence to Modeling Needs," Discussion Papers dp-07-11, Resources For the Future.
    5. Hainoun, A. & Seif-Eldin, M.K. & Almoustafa, S., 2006. "Analysis of the Syrian long-term energy and electricity demand projection using the end-use methodology," Energy Policy, Elsevier, vol. 34(14), pages 1958-1970, September.
    6. Gillingham, Kenneth T. & Newell, Richard G. & Pizer, William A., 2007. "Modeling Endogenous Technological Change for Climate Policy Analysis," Discussion Papers dp-07-14, Resources For the Future.
    7. Ma, T. & Grubler, A. & Nakamori, Y., 2009. "Modeling technology adoptions for sustainable development under increasing returns, uncertainty, and heterogeneous agents," European Journal of Operational Research, Elsevier, vol. 195(1), pages 296-306, May.
    8. Allan, Grant & Hanley, Nick & McGregor, Peter & Swales, Kim & Turner, Karen, 2007. "The impact of increased efficiency in the industrial use of energy: A computable general equilibrium analysis for the United Kingdom," Energy Economics, Elsevier, vol. 29(4), pages 779-798, July.
    9. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy paradox and the diffusion of conservation technology," Resource and Energy Economics, Elsevier, vol. 16(2), pages 91-122, May.
    10. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy-efficiency gap What does it mean?," Energy Policy, Elsevier, vol. 22(10), pages 804-810, October.
    11. Koopmans, Carl C. & te Velde, Dirk Willem, 2001. "Bridging the energy efficiency gap: using bottom-up information in a top-down energy demand model," Energy Economics, Elsevier, vol. 23(1), pages 57-75, January.
    12. Simon, Herbert A, 1979. "Rational Decision Making in Business Organizations," American Economic Review, American Economic Association, vol. 69(4), pages 493-513, September.
    13. Rohdin, Patrik & Thollander, Patrik & Solding, Petter, 2007. "Barriers to and drivers for energy efficiency in the Swedish foundry industry," Energy Policy, Elsevier, vol. 35(1), pages 672-677, January.
    14. Worrell, Ernst & Price, Lynn, 2001. "Policy scenarios for energy efficiency improvement in industry," Energy Policy, Elsevier, vol. 29(14), pages 1223-1241, November.
    15. Matsuoka, Yuzuru & Kainuma, Mikiko & Morita, Tsuneyuki, 1995. "Scenario analysis of global warming using the Asian Pacific Integrated Model (AIM)," Energy Policy, Elsevier, vol. 23(4-5), pages 357-371.
    16. de Groot, Henri L. F. & Verhoef, Erik T. & Nijkamp, Peter, 2001. "Energy saving by firms: decision-making, barriers and policies," Energy Economics, Elsevier, vol. 23(6), pages 717-740, November.
    17. Chateau, B. & Lapillonne, B., 1978. "Long-term energy demand forecasting A new approach," Energy Policy, Elsevier, vol. 6(2), pages 140-157, June.
    18. Lutz, Christian & Meyer, Bernd & Nathani, Carsten & Schleich, Joachim, 2005. "Endogenous technological change and emissions: the case of the German steel industry," Energy Policy, Elsevier, vol. 33(9), pages 1143-1154, June.
    19. Lapillonne, B. & Chateau, B., 1981. "The medee models for long term energy demand forecasting," Socio-Economic Planning Sciences, Elsevier, vol. 15(2), pages 53-58.
    20. Jan Velthuijsen, 1993. "Incentives for investment in energy efficiency: an econometric evaluation and policy implications," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 3(2), pages 153-169, April.
    21. Zhang, ZhongXiang & Folmer, Henk, 1998. "Economic modelling approaches to cost estimates for the control of carbon dioxide emissions1," Energy Economics, Elsevier, vol. 20(1), pages 101-120, February.
    22. Greening, Lorna A. & Boyd, Gale & Roop, Joseph M., 2007. "Modeling of industrial energy consumption: An introduction and context," Energy Economics, Elsevier, vol. 29(4), pages 599-608, July.
    23. Oda, Junichiro & Akimoto, Keigo & Sano, Fuminori & Tomoda, Toshimasa, 2007. "Diffusion of energy efficient technologies and CO2 emission reductions in iron and steel sector," Energy Economics, Elsevier, vol. 29(4), pages 868-888, July.
    24. Worrell, Ernst & Biermans, Gijs, 2005. "Move over! Stock turnover, retrofit and industrial energy efficiency," Energy Policy, Elsevier, vol. 33(7), pages 949-962, May.
    25. Yi-Ming Wei & Gang Wu & Ying Fan & Lan-Cui Liu, 2006. "Progress in energy complex system modelling and analysis," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 25(1/2), pages 109-128.
    26. DeCanio, Stephen J, 1998. "The efficiency paradox: bureaucratic and organizational barriers to profitable energy-saving investments," Energy Policy, Elsevier, vol. 26(5), pages 441-454, April.
    27. Schleich, Joachim, 2009. "Barriers to energy efficiency: A comparison across the German commercial and services sector," Ecological Economics, Elsevier, vol. 68(7), pages 2150-2159, May.
    28. Daan van Soest & Erwin Bulte, 2001. "Does the Energy-Efficiency Paradox Exist? Technological Progress and Uncertainty," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 18(1), pages 101-112, January.
    29. Barker, Terry & Ekins, Paul & Foxon, Tim, 2007. "Macroeconomic effects of efficiency policies for energy-intensive industries: The case of the UK Climate Change Agreements, 2000-2010," Energy Economics, Elsevier, vol. 29(4), pages 760-778, July.
    30. Bhattacharyya, Subhes C. & Timilsina, Govinda R., 2009. "Energy demand models for policy formulation : a comparative study of energy demand models," Policy Research Working Paper Series 4866, The World Bank.
    31. John A. "Skip" Laitner and Donald A. Hanson, 2006. "Modeling Detailed Energy-Efficiency Technologies and Technology Policies within a CGE Framework," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 151-170.
    32. Chateau, Bertrand & Lapillonne, Bruno, 1990. "2.4. Accounting and end-use models," Energy, Elsevier, vol. 15(3), pages 261-278.
    33. Worrell, Ernst & Laitner, John A & Ruth, Michael & Finman, Hodayah, 2003. "Productivity benefits of industrial energy efficiency measures," Energy, Elsevier, vol. 28(11), pages 1081-1098.
    34. Kainuma, Mikiko & Matsuoka, Yuzuru & Morita, Tsuneyuki, 2000. "The AIM/end-use model and its application to forecast Japanese carbon dioxide emissions," European Journal of Operational Research, Elsevier, vol. 122(2), pages 416-425, April.
    35. Katja Schumacher & Ronald D. Sands, 2006. "Where Are the Industrial Technologies in Energy-Economy Models?: An Innovative CGE Approach for Steel Production in Germany," Discussion Papers of DIW Berlin 605, DIW Berlin, German Institute for Economic Research.
    36. Berglund, Christer & Soderholm, Patrik, 2006. "Modeling technical change in energy system analysis: analyzing the introduction of learning-by-doing in bottom-up energy models," Energy Policy, Elsevier, vol. 34(12), pages 1344-1356, August.
    37. Gielen, Dolf & Moriguchi, Yuichi, 2002. "CO2 in the iron and steel industry: an analysis of Japanese emission reduction potentials," Energy Policy, Elsevier, vol. 30(10), pages 849-863, August.
    38. Schleich, Joachim & Gruber, Edelgard, 2008. "Beyond case studies: Barriers to energy efficiency in commerce and the services sector," Energy Economics, Elsevier, vol. 30(2), pages 449-464, March.
    39. Peter Mulder, 2005. "The Economics of Technology Diffusion and Energy Efficiency," Books, Edward Elgar Publishing, number 3434, April.
    40. Harris, Jane & Anderson, Jane & Shafron, Walter, 2000. "Investment in energy efficiency: a survey of Australian firms," Energy Policy, Elsevier, vol. 28(12), pages 867-876, October.
    41. Gielen, Dolf & Taylor, Michael, 2007. "Modelling industrial energy use: The IEAs Energy Technology Perspectives," Energy Economics, Elsevier, vol. 29(4), pages 889-912, July.
    42. van Soest, Daan P., 2005. "The impact of environmental policy instruments on the timing of adoption of energy-saving technologies," Resource and Energy Economics, Elsevier, vol. 27(3), pages 235-247, October.
    43. Rivers, Nic & Jaccard, Mark, 2006. "Useful models for simulating policies to induce technological change," Energy Policy, Elsevier, vol. 34(15), pages 2038-2047, October.
    44. Russ, Peter & Criqui, Patrick, 2007. "Post-Kyoto CO2 emission reduction: The soft landing scenario analysed with POLES and other world models," Energy Policy, Elsevier, vol. 35(2), pages 786-796, February.
    45. Murphy, Rose & Rivers, Nic & Jaccard, Mark, 2007. "Hybrid modeling of industrial energy consumption and greenhouse gas emissions with an application to Canada," Energy Economics, Elsevier, vol. 29(4), pages 826-846, July.
    46. Peter Russ & Patrick Criqui, 2007. "Post-Kyoto CO2 emission reduction : the soft landing scenario analysed with POLES and other world models," Post-Print halshs-00078489, HAL.
    47. Wang, Ke & Wang, Can & Lu, Xuedu & Chen, Jining, 2007. "Scenario analysis on CO2 emissions reduction potential in China's iron and steel industry," Energy Policy, Elsevier, vol. 35(4), pages 2320-2335, April.
    48. Pantelis Capros & Leonidas Mantzos, 2000. "The European energy outlook to 2010 and 2030," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 137-154.
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