Energy Efficiency

, Volume 8, Issue 2, pp 223–237 | Cite as

Cost-effective retrofitting of Swedish residential buildings: effects of energy price developments and discount rates

  • Érika Mata
  • Angela Sasic Kalagasidis
  • Filip Johnsson
Original Article

Abstract

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.

Keywords

Swedish existing buildings Cost assessment Energy-saving measure Cost-effective retrofitting Energy prices Discount rates 

References

  1. Almansa Sáez, C., & Calatrava Requena, J. (2007). Reconciling sustainability and discounting in cost–benefit analysis: a methodological proposal. Ecological Economics, 60(4), 712–725.CrossRefGoogle Scholar
  2. 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
  3. 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
  4. 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
  5. Cruz Rambaud, S., & Muñoz Torrecillas, M. J. (2005). Some considerations on the social discount rate. Environmental Science & Policy, 8(4), 343–355.CrossRefGoogle Scholar
  6. 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
  7. EC (2010). EU energy trends. European Commission, Directorate-General for Energy, Belgium, 2010. http://ec.europa.eu/energy/observatory/trends_2030/index_en.htm.
  8. 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
  9. EC (2012b). Notice 2012/C 115/01: Guidelines accompanying Commission Delegated Regulation (EU) No 244/2012. EC, Brussels, Belgium.Google Scholar
  10. EC (2014). Eurostat Database, European Commission (EC), Brussels, Belgium. [Online database].Google Scholar
  11. EN 15459 (2007) Energy performance of buildings—economic evaluation procedure for energy systems in buildings.Google Scholar
  12. Enerdata (2014). ODYSSEE Database. [Online database].Google Scholar
  13. 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
  14. Garg, A., Maheshwari, J., Mahapatra, D., & Kumar, S. (2011). Economic and environmental implications of demand-side management options. Energy Policy, 39(6), 3076–3085.CrossRefGoogle Scholar
  15. GB (1977). Government bill, 1977/78:76: Energy saving program for existing buildings (In Swedish: Regeringspropositionen 1977/78:76 Energisparplanförbefintligbebyggelse), Stockholm, Sweden.Google Scholar
  16. Glad, W. (2012). Housing renovation and energy systems: the need for social learning. Building Research & Information, 40(3), 274–289.CrossRefGoogle Scholar
  17. 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
  18. 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.
  19. IEA. (2009). Energy prices and taxes 2009 first quarter (CD). Paris: International Energy Agency IAE.Google Scholar
  20. IEA. (2012). World energy outlook. Paris: International Energy Agency IAE.Google Scholar
  21. 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
  22. 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
  23. 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/.
  24. 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
  25. 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
  26. Mata, É., Sasic, A., & Johnsson, F. (2013a). A modelling strategy for energy, carbon, and cost assessments of building stocks. Energy and Buildings, 56, 100–108.CrossRefGoogle Scholar
  27. Mata, É., Sasic, A., & Johnsson, F. (2013b). Energy usage and potential for energy saving measures in Swedish households. Energy Policy, 55, 404–414.CrossRefGoogle Scholar
  28. 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.
  29. McNeil, M. A., & Bojda, N. (2012). Cost-effectiveness of high-efficiency appliances in the U.S. Residential sector: a case study. Energy Policy, 45, 33–42.CrossRefGoogle Scholar
  30. Meier, A., Rosenfeld, A. H., & Wright, J. (1982). Supply curves of conserved energy for California’s residential sector. Energy, 7(4), 347–358.CrossRefGoogle Scholar
  31. Meteotest (2009). Meteonorm version 6, Global Meteorological Database for Engineers, Planners and Education. Bern, Switzerland.Google Scholar
  32. 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
  33. 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/.
  34. 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
  35. 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
  36. Newlon, S. T., & Weitzel, D. (1991). Do market imperfections justify utility conservation programs? A review of the evidence. The Electricity Journal, 10, 40–53.CrossRefGoogle Scholar
  37. 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
  38. Price, C. (1988). Investment, reinvestment, and the social discount rate for forestry. Forest Ecology and Management, 24(4), 293–310.CrossRefGoogle Scholar
  39. Price, C., & Nair, C. (1985). Social discounting and the distribution of project benefits. Journal of Development Studies, 21(4), 525–532.CrossRefGoogle Scholar
  40. 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
  41. Sterner, T., & Persson, U. M. (2008). An even sterner review: introducing relative prices into the discounting debate. Review of Environmental Economics and Policy, 2(1), 61–76.CrossRefGoogle Scholar
  42. 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
  43. SEA (2011a). Facts and figures—energy in Sweden 2011. Eskilstuna, Sweden: Swedish Energy Agency SEA.Google Scholar
  44. 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/.
  45. 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.
  46. Train, K. (1985). Discount rates in consumers’ energy-related decisions: a review of the literature. Energy, 10(12), 1243–1253.CrossRefGoogle Scholar
  47. Ürge-Vorsatz, D., & Novikova, A. (2008). Potentials and costs of carbon dioxide mitigation in the world’s buildings. Energy Policy, 36(2), 642–661.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Érika Mata
    • 1
  • Angela Sasic Kalagasidis
    • 2
  • Filip Johnsson
    • 1
  1. 1.Energy Technology, Department of Energy and EnvironmentChalmers University of TechnologyGothenburgSweden
  2. 2.Building Technology, Department of Civil and Environmental EngineeringChalmers University of TechnologyGothenburgSweden

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