Andersen, Kristoffer Steen and Dockweiler, Steffen and Klinge Jacobsen, Henrik (2019): Squaring the energy efficiency circle: evaluating industry energy efficiency policy in a hybrid model setting.
Preview |
PDF
MPRA_paper_96546.pdf Download (475kB) | Preview |
Abstract
Improving energy efficiency within the industry will play a central role in mitigating greenhouse gas emissions by reducing the use of fossil fuels. Nevertheless, the ex-ante evaluation of energy-efficiency policies largely remains an unresolved challenge. Understood within a theoretical economic framework, the root of the challenge is the simultaneity and interaction between three primary effects: an activity, a price, and a technical effect. This paper demonstrates how the IntERACT model, a Danish hybrid model, captures each effect and their interactions endogenously. The paper finds that a specific energy efficiency policy leads to an additional reduction in industrial energy use of around 5% in the year 2030, of which a policy-induced reduction in the energy efficiency gap accounts for half. The results reflect a total rebound effect of 12.5% and an implied elasticity of energy service demand of 16 around 15% across industrial sectors.
Item Type: | MPRA Paper |
---|---|
Original Title: | Squaring the energy efficiency circle: evaluating industry energy efficiency policy in a hybrid model setting |
English Title: | Squaring the energy efficiency circle: evaluating industry energy �efficiency policy in a hybrid model setting |
Language: | English |
Keywords: | Energy systems analysis; sectoral energy efficiency modelling; energy efficiency policies; energy savings |
Subjects: | H - Public Economics > H2 - Taxation, Subsidies, and Revenue > H20 - General O - Economic Development, Innovation, Technological Change, and Growth > O5 - Economywide Country Studies > O52 - Europe Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q3 - Nonrenewable Resources and Conservation > Q38 - Government Policy Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q41 - Demand and Supply ; Prices Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q43 - Energy and the Macroeconomy Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q48 - Government Policy |
Item ID: | 96546 |
Depositing User: | Henrik Klinge Jacobsen |
Date Deposited: | 23 Oct 2019 12:33 |
Last Modified: | 23 Oct 2019 12:33 |
References: | Allan, G., Hanley, N., Mcgregor, P., Swales, K., Turner, K., 2007. The impact of increased efficiency in the industrial use of energy: A computable general equilibrium analysis for the United Kingdom. Energy Economics 29, 779–798, doi:10.1016/j.eneco.2006.12.006. Andersen, K.S., Termansen, L.B., Gargiulo, M., O´ Gallach´oirc, B.P., 2019. Bridging the gap using energy services: Demonstrating a novel framework for soft linking top-down and bottom-up models. Energy 169, 277–293. Armington, P.S., 1969. A Theory of Demand for Products Distinguished by Place of Production. Interna- tional Monetary Fund Staff Papers XVI, 159–78. Balyk, O., Andersen, K.S., Dockweiler, S., Gargiulo, M., Karlsson, K., Næraa, R., Petrovi´c, S., Tattini, J., Termansen, L.B., Venturini, G., 2019. TIMES-DK: Technology-rich multi-sectoral optimisation model of the Danish energy system. Energy Strategy Reviews 23, 13–22. Barker, T., Dagoumas, A., Rubin, J., 2009. The macroeconomic rebound effect and the world economy. Energy Efficiency 2, 411–427, doi:10.1007/s12053-009-9053-y, arXiv:0402594v3. Barker, T., Ekins, P., Foxon, T., 2007a. Macroeconomic effects of efficiency policies for energy-intensive industries: The case of the UK Climate Change Agreements. Energy Economics 29, 760–778, doi:10.1016/j.eneco.2006.12.008. Barker, T., Ekins, P., Foxon, T., 2007b. The macro-economic rebound effect and the UK economy. Energy Policy 35, 4935–4946, doi:10.1016/j.enpol.2007.04.009. Barro, R.J., Sala-I-Martin, X., 1995. Economic Growth. Interation ed., McGraw-Hill Book Co. Bataille, C., Jaccard, M., Nyboer, J., Rivers, N., 2006. Towards General Equilibrium in a Technology-Rich Model with Empirically Estimated Behavioral Parameters. Energy Journal . Bataille, C., Melton, N., 2017. Energy efficiency and economic growth: A retrospective CGE analysis for Canada from 2002 to 2012. Energy Economics 64, 118–130, doi:10.1016/j.eneco.2017.03.008. Berndt, E.R., 1990. Energy use, technical progress and productivity growth: A survey of economic issues. Journal of Productivity Analysis 2, 67–83, doi:10.1007/BF00158709. Cagno, E., Worrell, E., Trianni, A., Pugliese, G., et al., 2012. Dealing with barriers to industrial energy efficiency: an innovative taxonomy, in: ECEEE Industrial Summer Study, pp. 1–14. Danish Energy Agency, 2018. Energy statistics 2017. Danish Energy Agency, Copenhagen, Denmark. Danish Energy Agency, Energinet, 2016. Technology Data for Individual Heating Installations. Technical Report August 2016. Danish Energy Agency & Energinet. DEA, 1995. Teknologikatalog energibesparelser i erhvervslivet - ”technology catalogue - energy savings in industry” (freely translated). Danish Energy Agency. Dunn Jr, E.S., 1960. A statistical and analytical technique for regional analysis. Papers in Regional Science 6, 97–112. European Union, 2018. Directive (EU) 2018/2002 of the European Parliament and of the Council of 11 De- cember 2018 amending Directive 2012/27/EU on energy efficiency (Text with EEA relevance.). Technical Report. European Union. Filippini, M., Hunt, L.C., 2015. Measurement of energy efficiency based on economic foundations. Energy Economics 52, S5–S16, doi:10.1016/j.eneco.2015.08.023. Goldberg, M.L., Barry, J.R., Dunn, B., Ackley, M., Robinson, J., Deangelo-Woolsey, D., 2011. Focus on Energy Evaluation. Business Programs: Measure Life Study. Technical Report. PA Consulting Group Inc. for State of Wisconsin Public Service Commission of Wisconsin. Greening, L.a., Greene, D.L., Difiglio, C., 2000. Energy effciency and consumption - the rebound effect - a survey. Energy Policy 28, 389–401, doi:10.1016/S0301-4215(00)00021-5. Grepperud, S., Rasmussen, I., 2004. A general equilibrium assessment of rebound effects. Energy Economics 26, 261–282, doi:10.1016/j.eneco.2003.11.003. Grifell-Tatj´e, E., Lovell, C.A., 2000. Cost and productivity. Managerial and Decision Economics 21, 19–30, doi:10.1002/1099-1468(200001/02)21:1¡19::AID-MDE962¿3.0.CO;2-7. Hanley, N.D., McGregor, P.G., Swales, J.K., Turner, K., 2006. The impact of a stimulus to energy efficiency on the economy and the environment: A regional computable general equilibrium analysis, in: Renewable Energy, pp. 161–171, doi:10.1016/j.renene.2005.08.023. Hartwig, J., Kockat, J., Schade, W., Braungardt, S., 2017. The macroeconomic effects of ambitious energy efficiency policy in Germany Combining bottom-up energy modelling with a non-equilibrium macroeco- nomic model. Energy 124, 510–520, doi:10.1016/j.energy.2017.02.077. Hoffman, I.M., Schiller, S.R., Todd, A., Billingsley, M.A., Goldman, C.A., Schwartz, L.C., 2015. Energy Savings Lifetimes and Persistence: Practices, Issues and Data. Technical Report May. Lawrence Berkeley National Lab (LBNL). Berkeley, California, United States. Hunt, L.C., Ryan, D.L., 2015. Economic modelling of energy services: Rectifying misspecified energy demand functions. Energy Economics 50, 273–285, doi:10.1016/j.eneco.2015.05.006. Huntington, H.G., 1994. Been top down so long it looks like bottom up to me. Energy Policy 22, 833–839, doi:10.1016/0301-4215(94)90142-2. IEA, 2017. Energy Technology Perspectives 2017. OECD, arXiv:© OECD&IEA, 2014. Johanson, M., Petersen, P.M., 2009. Energibesparelser i erhvervslivet - ”energy savings in industry” (freely translated). Report for the Danish Energy Agency DGC by Dansk Energi Analyse A/S Viegand Maagøe ApS. . Koopmans, C.C., Te Velde, D.W., 2001. Bridging the energy efficiency gap: Using bottom-up information in a top-down energy demand model. Energy Economics 23, 57–75, doi:10.1016/S0140-9883(00)00054-2. Kromann, M., Kragerup, H., Dalsgaard, M., Carsten, K., Godkendt, G., 2015. Kortlægning af energispare-potentialer i erhvervslivet (in Danish). Technical Report. COWI / Danish Energy Agency. Loulou, R., Goldstein, G., Kanudia, A., Lettila, A., Remme, U., 2016. Documentation for the TIMES Model. Technical Report July. Energy Technology Systems Analysis Programme. McKinsey, 2007, . Reducing US greenhouse gas emissions: how much at what cost?: US Greenhouse Gas Abatement Mapping Initiative. McNeil, M.A., Letschert, V.E., de la Rue du Can, S., Ke, J., 2013. Bottom-Up Energy Analysis System (BUENAS)-an international appliance efficiency policy tool. Energy Efficiency 6, 191–217, doi:10.1007/s12053-012-9182-6. Mundaca, L., Neij, L., Worrell, E., Mcneil, M., 2010. Evaluating Energy Efficiency Policies with Energy- Economy Models , doi:10.1146/annurev-environ-052810-164840. Murphy, R., Jaccard, M., 2011. Energy efficiency and the cost of GHG abatement: A comparison of bottom- up and hybrid models for the US. Energy Policy 39, 7146–7155, doi:10.1016/j.enpol.2011.08.033. Official Journal of the European Communities, 2009. Directive 2009/125/ec of the european parliament and of the council of 21 october 2009, establishing a framework for the setting of ecodesign requirements for energy related products. Official Journal of the European Communities . Official Journal of the European Communities, 2017. Regulation (eu) 2017/1369 of the european parlia- ment and of the council of 4 july 2017 setting a framework for energy labelling and repealing directive 2010/30/eu. Official Journal of the European Communities . Oxera, A., 2011. Discount rates for low-carbon and renewable generation technologies. Report. Oxera Consulting LLP . Qiu, Y., Wang, Y.D., Wang, J., 2015. Implied discount rate and payback threshold of energy efficiency investment in the industrial sector. Applied Economics 47, 2218–2233. Rosenow, J., Pat´o, Z., Fawcett, T., 2016. An ex-ante evaluation of the EU Energy Efficiency Directive - Article 7. Economics of Energy & Environmental Policy 5. Sorrell, S., 2009. Jevons’ Paradox revisited: The evidence for backfire from improved energy efficiency. Energy Policy 37, 1456–1469, doi:10.1016/j.enpol.2008.12.003. Sorrell, S., Mallett, A., Nye, S., 2011. Barriers to industrial energy efficiency: A literature review . Thomsen, T., 2015. KLEM-estimationer (in Danish). Vine, E., 2008. Breaking down the silos: The integration of energy efficiency, renewable energy, demand response and climate change, doi:10.1007/s12053-008-9004-z. Wu, Y.H., Liu, C.H., Hung, M.L., Liu, T.Y., Masui, T., 2019. Sectoral energy efficiency improvements in Taiwan: Evaluations using a hybrid of top-down and bottom-up models. Energy Policy 132, 1241–1255, doi:10.1016/j.enpol.2019.06.043 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/96546 |