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Social acceptance of renewable energy technologies for buildings in the Helsinki Metropolitan Area of Finland

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  • Jung, Nusrat
  • Moula, Munjur E.
  • Fang, Tingting
  • Hamdy, Mohamed
  • Lahdelma, Risto

Abstract

The application of renewable energy technologies (RETs) in the residential building sector requires acceptance of technical solutions by key stakeholders, such as building owners, real-estate developers, and energy providers. The objective of this study is to identify the current status of public perceptions of RETs that are available in the Finnish market and associated influencing factors, such as perceived reliability, investment cost, payback time, and national incentives. A web-based questionnaire was disseminated to the general public in the Helsinki Metropolitan Area (n = 246). Social perceptions of building-integrated RETs were evaluated through integration of survey data and Stochastic Multicriteria Acceptability Analysis (SMAA), which was applied to analyse the robustness of the survey results. The SMAA demonstrated that Finnish residents exhibit broad acceptance of multiple options, rather than preference for a single RET. Solar technologies and ground source heat pumps were the most preferred options and evaluated as very reliable, whereas wind-based technologies and combined heat and power were ranked as the least popular. In general, respondents indicated a strong willingness to financially invest in RETs as a means to reduce their carbon footprint and preferred tax deductions as an incentive to invest in RETs.

Suggested Citation

  • Jung, Nusrat & Moula, Munjur E. & Fang, Tingting & Hamdy, Mohamed & Lahdelma, Risto, 2016. "Social acceptance of renewable energy technologies for buildings in the Helsinki Metropolitan Area of Finland," Renewable Energy, Elsevier, vol. 99(C), pages 813-824.
    • Handle: RePEc:eee:renene:v:99:y:2016:i:c:p:813-824
    DOI: 10.1016/j.renene.2016.07.006
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    as
    1. Scarpa, Riccardo & Willis, Ken, 2010. "Willingness-to-pay for renewable energy: Primary and discretionary choice of British households' for micro-generation technologies," Energy Economics, Elsevier, vol. 32(1), pages 129-136, January.
    2. Lahdelma, Risto & Salminen, Pekka & Hokkanen, Joonas, 2002. "Locating a waste treatment facility by using stochastic multicriteria acceptability analysis with ordinal criteria," European Journal of Operational Research, Elsevier, vol. 142(2), pages 345-356, October.
    3. Hyysalo, Sampsa & Juntunen, Jouni K. & Freeman, Stephanie, 2013. "User innovation in sustainable home energy technologies," Energy Policy, Elsevier, vol. 55(C), pages 490-500.
    4. Zakeri, Behnam & Syri, Sanna & Rinne, Samuli, 2015. "Higher renewable energy integration into the existing energy system of Finland – Is there any maximum limit?," Energy, Elsevier, vol. 92(P3), pages 244-259.
    5. Mohamed, Ayman & Hamdy, Mohamed & Hasan, Ala & Sirén, Kai, 2015. "The performance of small scale multi-generation technologies in achieving cost-optimal and zero-energy office building solutions," Applied Energy, Elsevier, vol. 152(C), pages 94-108.
    6. Pacesila, Mihaela & Burcea, Stefan Gabriel & Colesca, Sofia Elena, 2016. "Analysis of renewable energies in European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 156-170.
    7. Kaldellis, J.K. & Kapsali, M. & Kaldelli, El. & Katsanou, Ev., 2013. "Comparing recent views of public attitude on wind energy, photovoltaic and small hydro applications," Renewable Energy, Elsevier, vol. 52(C), pages 197-208.
    8. Hokkanen, Joonas & Lahdelma, Risto & Salminen, Pekka, 1999. "A multiple criteria decision model for analyzing and choosing among different development patterns for the Helsinki cargo harbor," Socio-Economic Planning Sciences, Elsevier, vol. 33(1), pages 1-23, March.
    9. Valkila, N. & Saari, A., 2013. "Experts' view on Finland's energy policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 283-290.
    10. van der Horst, Dan, 2007. "NIMBY or not? Exploring the relevance of location and the politics of voiced opinions in renewable energy siting controversies," Energy Policy, Elsevier, vol. 35(5), pages 2705-2714, May.
    11. Tervonen, Tommi & Lahdelma, Risto, 2007. "Implementing stochastic multicriteria acceptability analysis," European Journal of Operational Research, Elsevier, vol. 178(2), pages 500-513, April.
    12. Wustenhagen, Rolf & Wolsink, Maarten & Burer, Mary Jean, 2007. "Social acceptance of renewable energy innovation: An introduction to the concept," Energy Policy, Elsevier, vol. 35(5), pages 2683-2691, May.
    13. Lahdelma, Risto & Hokkanen, Joonas & Salminen, Pekka, 1998. "SMAA - Stochastic multiobjective acceptability analysis," European Journal of Operational Research, Elsevier, vol. 106(1), pages 137-143, April.
    14. Menegaki, Angeliki N., 2012. "A social marketing mix for renewable energy in Europe based on consumer stated preference surveys," Renewable Energy, Elsevier, vol. 39(1), pages 30-39.
    15. Lahdelma, Risto & Makkonen, Simo & Salminen, Pekka, 2009. "Two ways to handle dependent uncertainties in multi-criteria decision problems," Omega, Elsevier, vol. 37(1), pages 79-92, February.
    16. Petrova, Maria A., 2016. "From NIMBY to acceptance: Toward a novel framework — VESPA — For organizing and interpreting community concerns," Renewable Energy, Elsevier, vol. 86(C), pages 1280-1294.
    17. Lahdelma, Risto & Miettinen, Kaisa & Salminen, Pekka, 2003. "Ordinal criteria in stochastic multicriteria acceptability analysis (SMAA)," European Journal of Operational Research, Elsevier, vol. 147(1), pages 117-127, May.
    18. Ruostetsaari, Ilkka, 2009. "Governance and political consumerism in Finnish energy policy-making," Energy Policy, Elsevier, vol. 37(1), pages 102-110, January.
    19. Risto Lahdelma & Pekka Salminen, 2001. "SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making," Operations Research, INFORMS, vol. 49(3), pages 444-454, June.
    20. Stigka, Eleni K. & Paravantis, John A. & Mihalakakou, Giouli K., 2014. "Social acceptance of renewable energy sources: A review of contingent valuation applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 100-106.
    21. Reddy, Sudhakar & Painuly, J.P, 2004. "Diffusion of renewable energy technologies—barriers and stakeholders’ perspectives," Renewable Energy, Elsevier, vol. 29(9), pages 1431-1447.
    22. Karytsas, Spyridon & Theodoropoulou, Helen, 2014. "Socioeconomic and demographic factors that influence publics' awareness on the different forms of renewable energy sources," Renewable Energy, Elsevier, vol. 71(C), pages 480-485.
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