Cost-effective retrofitting of Swedish residential buildings: effects of energy price developments and discount rates
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This paper investigates how the cost-effectiveness of different energy-saving measures (ESMs) in buildings is dependent upon energy prices and discount rates. A bottom-up modelling methodology is used to assess the profitability of different ESMs for Swedish residential buildings. The cost-effectiveness and total techno-economical potential for energy saving of each ESM are calculated for three different scenarios of energy prices up to year 2050 and for different discount rates, including an estimate of the market potentials derived by applying the implicit discount rates given in the literature. The three energy-price scenarios give similar techno-economical reductions of delivered energy (by 31–42 %), as well as a similar ranking for the investigated cost-effective ESMs. This means that there are cost-efficient opportunities for energy reductions in Swedish households for any future developments of the energy prices investigated in this work. The energy price developments have lower impacts than interest rates on the techno-economical potentials of the different ESMs. Thus, increasing energy prices cannot be expected to promote significantly the adoption of ESMs, whereas facilitating the financing of investments in ESMs and reducing other consumer barriers should play key roles in the implementation of ESMs. The importance of allaying stakeholders’ reservations is further stressed by the fact that the estimated market potentials for the ESMs are significantly lower than the techno-economical potentials, underscoring the need for policy actions that accelerate the achievement of the identified techno-economical potentials.
KeywordsSwedish existing buildings Cost assessment Energy-saving measure Cost-effective retrofitting Energy prices Discount rates
This work was funded by the AGS project “Pathways to Sustainable European Energy Systems” and FORMAS grants for research and development projects. Erik Axelsson, Ulrika Claeson Colpier, Mikael Odenberger, Thomas Unger and Eoin Ó Broin are gratefully acknowledged for their contributions. We also thank Laurent Deleersnyder and Thomas Boermans for discussions of EPBD-related issues, as well as three anonymous reviewers for their suggestions and comments.
- Axelsson, E., & Harvey, S. (2010). Scenarios for assessing profitability and carbon balances of energy investments in industry, AGS Pathway report 2010:EU1, Gothenburg, Sweden.Google Scholar
- Bailie, A., Jaccard, M., & Nyboer, J. (1996). CO2 emission reduction costs in the residential sector: behavioral parameters in a bottom-up simulation model. The Energy Journal, 17(4), 107–134.Google Scholar
- BFR (1996). Energieffektivisering. Sparmöjligheter och investeringar för el- och värmeåtgarder i bostäder och lokaler. Anslagsrapport A1:1996, BFR Byggforskningsrådet, Stockholm, Sweden (in Swedish).Google Scholar
- Dalenbäck, J.O., Görasson A., Lennart J., Nilson A., Olsson D., Pettersson B. (2005). Åtgärder för ökaden energieffektivisering I bebyggelse. Report CEC 2005:1. Chalmers Energi Centrum, Chalmers University of Technology, Gothenburg, Sweden.Google Scholar
- EC (2010). EU energy trends. European Commission, Directorate-General for Energy, Belgium, 2010. http://ec.europa.eu/energy/observatory/trends_2030/index_en.htm.
- EC (2012a). 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 cost-optimal levels of minimum energy performance requirements for buildings and building elements. The European Commission (EC), Brussels, Belgium.Google Scholar
- EC (2012b). Notice 2012/C 115/01: Guidelines accompanying Commission Delegated Regulation (EU) No 244/2012. EC, Brussels, Belgium.Google Scholar
- EC (2014). Eurostat Database, European Commission (EC), Brussels, Belgium. [Online database].Google Scholar
- EN 15459 (2007) Energy performance of buildings—economic evaluation procedure for energy systems in buildings.Google Scholar
- Enerdata (2014). ODYSSEE Database. [Online database].Google Scholar
- ERG (1998). Cost curve estimations for reducing CO2 emissions in Canada: an analysis by province and sector, Prepared for Natural Resources Canada, The Energy Research Group, School of Resource and Environmental Management, Simon Fraser University, Vancouver, Canada.Google Scholar
- GB (1977). Government bill, 1977/78:76: Energy saving program for existing buildings (In Swedish: Regeringspropositionen 1977/78:76 Energisparplanförbefintligbebyggelse), Stockholm, Sweden.Google Scholar
- Göransson, A., & Pettersson, P. (2008). Energieffektiviseringspotential i bostäder och lokaler. Med fokuspåeffektiviseringsåtgärder 2005–2016. Report - CEC 2008:3 (in Swedish). Chalmers Energi Centrum. Gothenburg: Chalmers University of Technology.Google Scholar
- Hjortsberg, M., 2011, Description of the Swedish building stock using material Swedish statistical survey of 1800 buildings, Swedish National Board of Housing, Building and Planning. http://www.boverket.se/Global/Om_Boverket/Dokument/about_boverket/betsi_study/building_stock.pdf.
- IEA. (2009). Energy prices and taxes 2009 first quarter (CD). Paris: International Energy Agency IAE.Google Scholar
- IEA. (2012). World energy outlook. Paris: International Energy Agency IAE.Google Scholar
- IPCC. (1995). Economic and social dimensions of climate change. Contribution of working group III to the second assessment report of the IPCC. Cambridge: Cambridge University Press.Google Scholar
- Jaccard, M. (2009). Combining top-down and bottom-up in energy economy models, chapter 13. In: International handbook on the economics of energy. Cheltenham: Edward Elgar.Google Scholar
- Johnsson, F. (ed.). (2011). European pathways - pathways to sustainable European Energy Systems. ISBN 978-91-978585-1-9. Göteborg, Sweden: Chalmers University of Technology. Can be downloaded at http://www.energy-pathways.org/.
- Levine, M., Ürge-Vorsatz, D., Blok, K., Geng, L., Harvey, D., Lang, S., Levermore, G., MongameliMehlwana, A., Mirasgedis, S., Novikova, A., Rilling, J., & Yoshino, H. (2007). Residential and commercial buildings. In: Climate change 2007: mitigation. Contribution of Working Group III to the Fourth Assessment Report Of The Intergovernmental Panel On Climate Change. Cambridge: Cambridge University Press.Google Scholar
- Mata, É., Medina Benejam, G., Sasic Kalagasidis, A. & Johnsson, F. (2014). Opportunities and costs associated with energy conservation in the Spanish building stock. (In press).Google Scholar
- Mattsson, B. (2011). Costs for reducing the energy demand in the Swedish building stock according to national energy targets, Swedish National Board of Housing, Building and Planning. http://www.boverket.se/Global/Om_Boverket/Dokument/about_boverket/betsi_study/energy.pdf.
- Meteotest (2009). Meteonorm version 6, Global Meteorological Database for Engineers, Planners and Education. Bern, Switzerland.Google Scholar
- MKJA. (2002). Construction and analysis of sectoral, regional and national cost curves of GHG abatement of Canada. Vancouver: Jaccard, M.K., and Associates.Google Scholar
- NBHBP (1995). ELIB (Elhushållning i bebyggelsen). Statens Institut för Byggnadsforskning SIB and Boverket. All the reports are available at: http://www.boverket.se/Bygga--forvalta/sa-mar-vara-hus/om-undersokningen/Om-ELIB/.
- NBHBP (2009). Så mår våra hus. Redovisning av regeringsuppdrag beträffande byggnaders tekniska utformning m.m. (in Swedish). National Board of Housing, Building and Planning (NBHBP) Boverket (in Swedish), Karlskrona, Sweden.Google Scholar
- NBHBP (2013). Optimala kostnader för energieffektivisering– underlag enligt Europaparlamentets och rådets direktiv 2010/31/EU ombyggnaders energiprestanda, Slutrapport Rapport 2013:2, REGERINGSUPPDRAG N2012/2823/E (in Swedish). National Board of Housing, Building and Planning (NBHBP) Boverket (in Swedish), Karlskrona, Sweden.Google Scholar
- Ó Broin, et al. (2014). Estimating the energy efficiency gap for space and water heating in the residential sector in Sweden. (Submitted for publication).Google Scholar
- Rushing, A. S., Kneifel, J. D., & Lippiatt, B. C. (2010). Energy prices indices and discount factors for life-cycle cost analysis. Annual Supplement to NIST handbook 135 and NBS Special Publication 709. Washington: U.S. Department of Energy.Google Scholar
- SEA (2009). Mätning av kall- och varmvattenanvändning i 44 hushåll - Delrapport i Swedish Energy Agencyens projekt Förbättrad energistatistik i bebyggelsen och industrin, ER 2009:26 (in Swedish), Eskilstuna, Sweden: Swedish Energy Agency SEA.Google Scholar
- SEA (2011a). Facts and figures—energy in Sweden 2011. Eskilstuna, Sweden: Swedish Energy Agency SEA.Google Scholar
- SEA (2011b). Lightbulbs are being phased out of the market. Eskilstuna, Sweden: Swedish Energy Agency SEA. http://www.energimyndigheten.se/en/Sustainability/Household/Other-energy-consumption-in-your-home/Lighting--low-energy-lamps-and-compact-fluorescent-tubes/.
- Tolstoy, N. (2011). Method to describe the technical characteristics of the existing buildings. A Swedish survey of 1800 buildings. Swedish National Board of Housing, Building and Planning. Available at: http://www.boverket.se/Global/Om_Boverket/Dokument/about_boverket/betsi_study/method_descriptions.pdf.