Construction of energy savings cost curves: An application for Denmark

Pasquali, Andrea and Klinge Jacobsen, Henrik (2019): Construction of energy savings cost curves: An application for Denmark.

Abstract

This paper investigate the construction and use of energy saving cost curves. We discuss the various methodologies for calculating costs of savings measures and whether these can be compared across different sectors, end-uses and over time. The costs are fundamentally different if estimated as full cost of a measure, including installation, financing, transaction costs etc. or just the marginal cost of a more energy efficient component, for example type of glass or appliance model. We also highlight the difference in gross measures considered when examing option for residential building or industrial process equipment. Finally we introduce a few examples from Danish cost curves constructed and illustrate how different aggregation would be depending of which categories of costs are used in the construction of the curves.

• Item Type: MPRA Paper
• Language: English
• Keywords: Energy savings; cost curve, conservation
• Subjects: Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q2 - Renewable Resources and Conservation > Q28 - Government Policy; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q41 - Demand and Supply ; Prices

References

Atanasui, B. (2011). FinAl drAFt PrinciPles For neArly Zero-energy Buildings. Buildings. Retrieved from http://www.bpie.eu/nearly_zero.html

Bruderer Enzler, H., Diekmann, A., & Meyer, R. (2014). Subjective discount rates in the general population and their predictive power for energy saving behavior. Energy Policy, 65, 524–540. https://doi.org/10.1016/j.enpol.2013.10.049

Bühler, F., Guminski, A., Gruber, A., Nguyen, T. Van, von Roon, S., & Elmegaard, B. (2018). Evaluation of energy saving potentials, costs and uncertainties in the chemical industry in Germany. Applied Energy, 228(December 2017), 2037–2049. https://doi.org/10.1016/j.apenergy.2018.07.045

Bühler, F., Petrović, S., Ommen, T., Holm, F. M., Pieper, H., & Elmegaard, B. (2018). Identification and Evaluation of Cases for Excess Heat Utilisation using GIS. Energies, 1–24. https://doi.org/10.3390/en11040762

Dalgleish, T., Williams, J. M. G. ., Golden, A.-M. J., Perkins, N., Barrett, L. F., Barnard, P. J., … Watkins, E. (2007). [ No Title ]. Journal of Experimental Psychology: General, 136(1), 23–42.

de Wilde, P., Tian, W., & Augenbroe, G. (2011). Longitudinal prediction of the operational energy use of buildings. Building and Environment, 46(8), 1670–1680. https://doi.org/10.1016/j.buildenv.2011.02.006

Deep renovation of buildings An effective way to decrease Europe ’ s energy import dependency Deep renovation of buildings An effective way to decrease Europe ’ s energy import dependency. (n.d.).

Deep, W. I. S. a, & Definition, R. (2013). What Is a Deep, (February), 237–254.

EC 2012/C 115/01. (2012). Commission Delegated Regulation (EU) No 244/2012 of 16 January 2012 supplementing Directive 2010/31/EU of the European Parliament and of the Council on the energy performance of buildings by establishing a comparative methodology framework for calculating. Official Journal of the European Union, 28. https://doi.org/10.3000/1977091X.C_2012.115.eng

Eleftheriadis, G., & Hamdy, M. (2017). Impact of building envelope and mechanical component degradation on the whole building performance: A review paper. Energy Procedia, 132, 321–326. https://doi.org/10.1016/j.egypro.2017.09.739

Energistyrelsen. (2018). Denmark’s Energy and Climate Outlook 2018 Baseline Scenario Projection Towards 2030 With Existing Measures (Frozen Policy) Denmark’s Energy and Climate Outlook 2018: Baseline Scenario Projection Towards 2030 With Existing Measures (Frozen Policy). Retrieved from http://www.ens.dk

Erhorn, H., & Erhorn-Kuttig Heike. (2015). Nearly Zero- Energy Buildings, (April). Retrieved from http://www.epbd-ca.eu/outcomes/2011-2015/CA3-CT-2015-5-Towards-2020-NZEB-web.pdf

EU. (2010). Directive 2010/31/EU of the European Parliament and of the Council of 19 May 2010 on the energy performance of buildings (recast). Official Journal of the European Union, 13–35. https://doi.org/doi:10.3000/17252555.L_2010.153.eng

EU. (2014). Guide to Cost-benefit Analysis of Investment Projects: Economic appraisal tool for Cohesion Policy 2014-2020. Publications Office of the European Union. https://doi.org/10.2776/97516

European Energy Agency. (2015). Final energy consumption by sector and fuel. Indicator Assessment | Data and Maps, 20. https://doi.org/CSI 027/ENER 016

European Parliament. (2009). "Decision No 406/2009/EC of the European Parliament and of the Council ". Official Journal of the European Union, L140, 136–148. https://doi.org/10.2779/57220

Fleiter, T., Eichhammer, W., Wietschel, M., Hagemann, M., & Hirzel, S. (2009). Costs and potentials of energy savings in European industry - a critical assessment of the concept of conservation supply curves. Proceeding ECEEE 2009, (May 2014), 1261–1272. Retrieved from https://www.etde.org/etdeweb/details_open.jsp?osti_id=967850

Fleiter, T., Fehrenbach, D., Worrell, E., & Eichhammer, W. (2012). Energy efficiency in the German pulp and paper industry - A model-based assessment of saving potentials. Energy, 40(1), 84–99. https://doi.org/10.1016/j.energy.2012.02.025

García-Gusano, D., Espegren, K., Lind, A., & Kirkengen, M. (2016). The role of the discount rates in energy systems optimisation models. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2015.12.359

Golove, W. H., & Eto, J. H. (1996). Market Barriers to Energy Efficiency : A Critical Reappraisal of the Rationale for Public Policies to Promote Energy Efficiency. Energy Environment, 26(March), 66. https://doi.org/10.1177/0042098011427189

Hansen, C. F., & Hansen, M. L. (2015). Executive Order on the Publication of the Danish Building Regulations 2015 (BR15), 2015(1185).

Hasanbeigi, A., Morrow, W., Sathaye, J., Masanet, E., & Xu, T. (2013). A bottom-up model to estimate the energy efficiency improvement and CO2emission reduction potentials in the Chinese iron and steel industry. Energy, 50(1), 315–325. https://doi.org/10.1016/j.energy.2012.10.062

Hassett, K. A., & Metcalf, G. E. (1993). Energy conservation investment. Do consumers discount the future correctly? Energy Policy, 21(6), 710–716. https://doi.org/10.1016/0301-4215(93)90294-P

Hitchin, R., Kingdom, U., Thomsen, K. E., & Wittchen, K. B. (2010). Primary Energy Factors and Members States Energy Regulations, (692447).

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 Brief – Electricity Markets & Policy Group. Berkeley, California, United States.

Kelly Kissock, J., & Eger, C. (2008). Measuring industrial energy savings. Applied Energy, 85(5), 347–361. https://doi.org/10.1016/j.apenergy.2007.06.020

Klinge Jacobsen, H., & Juul, N. (2015). Demand-side management: electricity savings in Danish households reduce load variation, capacity requirements, and associated emissions @ DTU International Energy Report 2015 : Energy systems integration for the transition to non-fossil energy systems.

Martinaitis, V., Kazakevičius, E., & Vitkauskas, A. (2007). A two-factor method for appraising building renovation and energy efficiency improvement projects. Energy Policy, 35(1), 192–201. https://doi.org/10.1016/j.enpol.2005.11.003

Mikulčić, H., Vujanović, M., & Duić, N. (2013). Reducing the CO2 emissions in Croatian cement industry. Applied Energy, 101, 41–48. https://doi.org/10.1016/j.apenergy.2012.02.083

Morrow, W. R., Marano, J., Hasanbeigi, A., Masanet, E., & Sathaye, J. (2015). Efficiency improvement and CO2emission reduction potentials in the United States petroleum refining industry. Energy, 93, 95–105. https://doi.org/10.1016/j.energy.2015.08.097

Newell, R. G., & Siikamki, J. (2015). Individual time preferences and energy efficiency. In American Economic Review (Vol. 105, pp. 196–200). https://doi.org/10.1257/aer.p20151010

Parliament, E. (2012). L 81/18, 18–36.

Petersen, S., & Svendsen, S. (2012). Method for component-based economical optimisation for use in design of new low-energy buildings. Renewable Energy, 38(1), 173–180. https://doi.org/10.1016/j.renene.2011.07.019

Sathitbun-anan, S., Fungtammasan, B., Barz, M., Sajjakulnukit, B., & Pathumsawad, S. (2015). An analysis of the cost-effectiveness of energy efficiency measures and factors affecting their implementation: a case study of Thai sugar industry. Energy Efficiency, 8(1), 141–153. https://doi.org/10.1007/s12053-014-9281-7

Semprini, G., Gulli, R., & Ferrante, A. (2017). Deep regeneration vs shallow renovation to achieve nearly Zero Energy in existing buildings: Energy saving and economic impact of design solutions in the housing stock of Bologna. Energy and Buildings, 156, 327–342. https://doi.org/10.1016/j.enbuild.2017.09.044

Steinbach, J., & Staniaszek, D. (2015). Discount rates in energy system analysis. Buildings Performance Institue Europe (BPIE), (May).

Sutherland, R. J. (1991). Market barriers to energy-efficiency investments. Energy Journal, 12(3), 15. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=afh&AN=9610284496&site=ehost-live The European Parliament and the Council of the European Union. (2010). Directive 2010/30/EU on the indication by labelling and standard product information of the consumption of energy and other resources by energy-related products. Official Journal of the European Union, (4), 1–12. https://doi.org/10.1017/CBO9781107415324.004

Toleikyte, A., Kranzl, L., & Müller, A. (2018). Cost curves of energy efficiency investments in buildings – Methodologies and a case study of Lithuania. Energy Policy, 115(December 2017), 148–157. https://doi.org/10.1016/j.enpol.2017.12.043

Units, U., Depict, T. O., Model, A. C., & Athens, F. O. R. (2016). Nearly Zero Energy Urban Settings ( ZEUS ). https://doi.org/10.1016/B978-0-08-100735-8/00002-7

Waddicor, D. A., Fuentes, E., Sisó, L., Salom, J., Favre, B., Jiménez, C., & Azar, M. (2016). Climate change and building ageing impact on building energy performance and mitigation measures application: A case study in Turin, northern Italy. Building and Environment, 102, 13–25. https://doi.org/10.1016/j.buildenv.2016.03.003

Worrell, E., Martin, N., & Price, L. (2000). Potentials for energy efficiency improvement in the US cement industry. Energy, 25(12), 1189–1214. https://doi.org/10.1016/S0360-5442(00)00042-6

Worrell, E., Ramesohl, S., & Boyd, G. (2004). Advances in Energy Forecasting Models Based on Engineering Economics. Annual Review of Environment and Resources, 29(1), 345–381. https://doi.org/10.1146/annurev.energy.29.062403.102042

Zuberi, M. J. S., & Patel, M. K. (2017). Bottom-up analysis of energy efficiency improvement and CO2emission reduction potentials in the Swiss cement industry. Journal of Cleaner Production, 142, 4294–4309. https://doi.org/10.1016/j.jclepro.2016.11.178

Zvingilaite, E., & Klinge Jacobsen, H. (2015). Heat savings and heat generation technologies: Modelling of residential investment behaviour with local health costs. Energy Policy, 77, 31–45. https://doi.org/10.1016/j.enpol.2014.11.032