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Financial barriers to residential buildings’ energy efficiency in Iran

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Abstract

The building sector uses a large amount of energy among all end-use sectors. This sector consumes approximately 34% of Iran’s total energy. Environmental, technical, economic, social, and legal obstacles are the main energy efficiency barriers in buildings. Economic aspects have a more significant impact than others do. This paper identifies the main financial barriers to residential buildings’ energy efficiency in Iran through interviews, questionnaires, and factor analysis. Semi-structured interviews was conducted with energy efficiency professionals. Buildings’ service engineers, project managers, architects, and facility managers completed questionnaires. The results indicate that misplaced incentives, unpriced costs and benefits, fear of hidden costs, controversial evaluation methods, distortionary fiscal and regulatory policies, focus on initial costs, and mistaken beliefs in energy efficiency are the main perspectives on financial barriers to residential buildings’ energy efficiency in Iran. Regulation, loan financing and project financing, grants and subsidies, fiscal incentives, creating real fossil fuel prices, and training and information programs are recommendations to overcome these barriers. Adapting these perspectives with corresponding strategies indicates that the human decision-making for investment in energy efficiency measures is the most critical issue for policymakers. The findings provide a helpful reference for Iranian policymakers to understand current barriers to energy-efficient buildings and develop new policies to overcome these barriers. The results also provide a valuable reference for other countries.

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References

  • Achtnicht, M., & Madlener, R. (2014). Factors influencing German house owners’ preferences on energy retrofits. Energy Policy, 68, 254–263.

    Article  Google Scholar 

  • Adeyeye, K., Osmani, M., Brown, C. (2007). Energy conservation and building design: The environmental legislation push and pull factors. Structural Survey, 25(5), 375–390.

  • Alam, M., Zou, P.X.W., Stewart, R., Bertone, E., Sahin, Oz., Buntine, C., Marshall, C. (2019). Government championed strategies to overcome the barriers to public building energy efficiency retrofit projects. Sustainable Cities and Society, 44, 56–69.

  • Alreshidi, E., Mourshed, M., & Rezgui, Y. (2018). Requirements for cloud-based BIM governance solutions to facilitate team collaboration in costruction projects. Requirements Engineering, 23(1), 1–31.

    Article  Google Scholar 

  • Amoruso, G., Donevska, N., & Skomedal, G. (2018). German and Norwegian policy approach to residential buildings’ energy efficiency—A comparative assessment. Energy Efficiency, 11(6), 1375–1395.

    Article  Google Scholar 

  • Aslani, A., Bakhtiar, A., Akbarzadeh, M.H. (2019). Energy-efficiency technologies in the building envelope: Life cycle and adaptation assessment. Journal of Building Engineering, 21, 55–63.

  • Bertoldi, P., Boza-Kiss, B., Della Valle, N., Economidou, M. (2021). The role of one-stop shops in energy renovation – A comparative analysis of OSSs cases in Europe. Energy & Buildings, 250, 111273.

  • Bertoldi, P., Economidou, M., Palermo, V., Boza-Kiss, B., Todeschi, V. (2020). How to finance energy renovation of residential buildings: Review of current and emerging financing instruments in the EU. WIREs Energy and Environment, 10(1), e384.

  • Bhandaria, V., Roseb, S., Wilsonc, E.J. (2019). Non-financial barriers to combined heat and power in the United States - A qualitative study. The Electricity Journal, 32(3), 49–56.

  • Bianco, V., & Snovilla, P. M. (2021). Supporting energy efficiency measures in the residential sector. The case of on-bill schemes. Energy Reports, 7, 4298–4307.

    Article  Google Scholar 

  • Bjørneboe, M. G., Svendsen, S., & Heller, A. (2018). Initiatives for the energy renovation of single-family houses in Denmark evaluated on the basis of barriers and motivators. Energy and Buildings, 167, 347–358.

    Article  Google Scholar 

  • Blázquez, T., Ferrari, S., Suárez, R., Sendra, J.J. (2019). Adaptive approach-based assessment of a heritage residential complex in southern Spain for improving comfort and energy efficiency through passive strategies: A study based on a monitored flat. Energy, 181(15), 504–520.

  • Brown, M. (2001). Market failures and barriers as a basis for clean energy policies. Energy Policy, 29(14), 1197–1207.

    Article  Google Scholar 

  • Byrne, R., Byrne, S., Ryan, R., & O’Regan, B. (2017). Applying the Q-method to identify primary motivation factors and barriers to communities in achieving decarbonization goals. Energy Policy, 110, 40–50.

    Article  Google Scholar 

  • Camarasa, C., Kalahasthi, L.K., Rosado, L. (2020). Drivers and barriers to energy-efficient technologies (EETs) in EU residential buildings. Energy and Built Environment, 2(3), 290–301.

  • Caputo, P., & Pasetti, G. (2017). Boosting the energy renovation rate of the private building stock in Italy: Policies and innovative GIS-based tools. Sustainable Cities and Society, 34, 394–404.

    Article  Google Scholar 

  • Castleberry, B., Gliedt, T., & Greene, J. S. (2016). Assessing drivers and barriers of energy saving measures in Oklahoma’s public schools. Energy Policy, 88, 216–228.

    Article  Google Scholar 

  • Cooremans, C., Schönenberger, A. (2019). Energy management: A key driver of energy efficiency investment? Journal of Cleaner Production, 230(1), 264–275.

  • Cristino, T.M., Lotufo, F.A., Delinchant, B., Wurtz, F., Faria Neto, A. (2021). A comprehensive review of obstacles and drivers to building energy-saving technologies and their association with research themes, types of buildings, and geographic regions. Renewable and Sustainable Energy Reviews, 135, 110191.

  • Curtius, H.C. (2018). The adoption of building-integrated photovoltaics: Barriers and facilitators. Renew Energy, 126, 783–790.

  • Dadzie, J., Runeson, G., Ding, G., Bondiuba, FK. (2018). Barriers to adoption of sustainable technologies for energy-efficient building upgrade—Semi-structured interviews. Buildings, 8(4), 57.

  • Diaz, P., Adler, C., & Patt, A. (2017). Do stakeholders’ perspectives on renewable energy infrastructure pose a risk to energy policy implementation? A case of a hydropower plant in Switzerland. Energy Policy, 108, 21–28.

    Article  Google Scholar 

  • Ding, Z., Fan, Z., Tam, V. W. Y., Bian, Y., Li, S., Illankoon, I. M. C. S., & Moon, S. (2018). Green building evaluation system implementation. Building and Environment, 133, 32–40.

    Article  Google Scholar 

  • Durdyed, S., Zavadskas, E.K., Thurnell, D., Banaitis, A., Ihtiyar, A. (2018). Sustainable construction industry in Cambodia: Awareness, drivers and barriers. Sustainability, 10(2), 392.

  • Economidou, M., Todeschi, V., Bertoldi, P., D`Agostino, D., Zangheri, P., Castellazzi L. (2020). Review of 50 years of EU energy efficiency policies for buildings. Energy & Buildings, 225, 110322.

  • Ernst, Y. (2015). Mid-tier commercial office buildings in Australia: A national pathway to improving energy productivity. Green Building Council of Australia.

  • Gillingham, K., Newell, R.G., Palmer, K. (2009). Energy efficiency economics and policy. Annual Review of Resource Economics, 1, 597–619.

  • Gupta, P., Anand, S., & Gupta, H. (2017). Developing a roadmap to overcome barriers to energy efficiency in buildings using best worst method. Sustainable Cities and Society, 31, 244–259.

    Article  Google Scholar 

  • Hackel, B., Pfosser, S., & Trankler, T. (2017). Explaining the energy efficiency gap – Expected utility theory versus cumulative prospect theory. Energy Policy, 111, 414–426.

    Article  Google Scholar 

  • International Energy Agency (2006). Energy technology perspectives: Scenarios and strategies to 2050, Organization for Economic.

  • Intrachooto, S., & Horayangkura, V. (2007). Energy efficient innovation: Overcoming financial barriers. Building and Environment, 42, 599–604.

    Article  Google Scholar 

  • Iran Energy Balance 2019. Ministry of energy. Available at: https://pep.moe.gov.ir/. Accessed 20 December 2021.

  • Jaffe, A. B., & Stavins, R. N. (1994). The energy efficiency gap, what does it mean? Energy Policy, 22(10), 804–810.

    Article  Google Scholar 

  • Jia, J.J., Xu, J.H., Fan, Y., Ji, Q. (2018). Willingness to accept energy-saving measures and adoption barriers in the residential sector: An empirical analysis in Beijing, China. Renewable and Sustainable Energy Reviews, 95, 56–73.

  • Kampen, J. K., & Tamas, P. (2013). Overly ambitious: Contributions and current status of Q methodology. Quality & Quantity, 48(6), 3109–3126.

    Article  Google Scholar 

  • Kangas, H. L., Lazarevic, D., & Kivimaa, P. (2018). Technical skills, disinterest and non-functional regulation: Barriers to building energy efficiency in Finland viewed by energy service companies. Energy Policy, 114, 63–76.

    Article  Google Scholar 

  • Kazemi, M. (2018a). PhD thesis: Factors influencing energy reduction in buildings. Shahid Beheshti University

  • Kazemi, M. (2018b). b. Strategies to improve buildings energy efficiency. Quarterly Journal of Sofeh, 79, 37–46.

    Google Scholar 

  • Kazemi, M., & Namazi, H. (2016). Social barriers to residential buildings energy efficiency in Iran. Quarterly Journal of Energy Policy and Planning Research, 2(3), 169–196.

    Google Scholar 

  • Kerr, N., Gouldson, A., & Barrett, J. (2018). Holistic narratives of renovation experience: Using Q-methodology to improve understanding of domestic energy retrofits in the United Kingdom. Energy Research & Social Science., 42, 90–99.

    Article  Google Scholar 

  • Laustsen, J. (2008). Energy efficiency requirements in building codes, energy efficiency policies for new buildings. Paris: International Energy Agency.

  • Liang, X., Yu, T., Hong, J., Shen G.Q. (2019). Making incentive policies more effective: An agent-based model for energy-efficiency retrofit in China. Energy Policy, 126, 177–189.

  • Liu, G., Li, X., Tan, Y., Zhang, G. (2020). Building green retrofit in China: Policies, barriers and recommendations. Energy Policy, 139, 111356.

  • Ma, M., Yan, R., Cai, W. (2018). Energy savings evaluation in public building sector during the 10th–12th FYP periods of China: An extended LMDI model approach. Natural Hazards, 92, 429–441.

  • Mahmoud, AS., Asif, M., Hassanain, MA., Babsail, MO., Sanni-Anibire, MO. (2017). Energy and economic evaluation of green roofs for residential buildings in hot-humid climates. Buildings, 7(2), 30.

  • Marefat, A., Toosi, H., & Hasankhanli, R. M. (2019). A BIM approach for construction safety: Applications, barriers and solutions. Eng Construct Architect Manag, 26(9), 1855–1877.

    Article  Google Scholar 

  • Marquez, L., McGregor, J., Syme, M. (2012). Barriers to the adoption of energy efficiency measures for existing commercial buildings. Victoria: CSIRO Mathematics, Informatics and Statistics.

  • Martinopoulos, G., Papakostas, K.T., Papadopoulos, A.M. (2018). A comparative review of heating systems in EU countries, based on efficiency and fuel cost. Renewable and Sustainable Energy Reviews 90, 687–699.

  • Nagesha, N., & Balachandra, P. (2006). Barriers to energy efficiency in small industry clusters: Multi-criteria-based prioritization using the analytic hierarchy process. Energy, 31(12), 1969–1983.

    Article  Google Scholar 

  • Paiho, S., Ahvenniemi, H. (2017). Non-technical barriers to energy efficient renovation of residential buildings and potential policy instruments to overcome them-evidence from Young Russian Adults. Buildings, 7(4), 101.

  • Prete, MI., Piper, L., Rizzo, C., Pino, G., Capestro, M., Mileti, A., Pichierri, M., Amatulli, C., Peluso, AM., Guido G. (2017). Determinants of Southern Italian households’ intention to adopt energy efficiency measures in residential buildings. Journal of Cleaner Production, 153, 83–91.

  • Ramlo, S. (2016). Mixed method lessons learned from 80 years of Q methodology. Journal of Mixed Methods Research, 10(1), 28–45.

    Article  Google Scholar 

  • Ren, T. (2009). Barriers and drivers for process innovation in the petrochemical industry: A case study. Journal of Engineering and Technology Management, 26, 285–304.

    Article  Google Scholar 

  • Rohdin, P., & Thollander, P. (2006). Barriers to and driving forces for energy efficiency in the non-energy intensive manufacturing industry in Sweden. Energy, 31(12), 1836–1844.

    Article  Google Scholar 

  • Sardinou, E. (2008). Estimating space heating determinants: An analysis of Greek households. Energy and Buildings, 40(10), 1084–1093.

    Article  Google Scholar 

  • Shukla, AK., Sudhakar, K., Baredar, P., Mamat, R. (2018). BIPV based sustainable building in South Asian countries. Solar Energy, 170, 1162–1170.

  • Sorrell, S., Schleich, J., Scott, S., O’Malley, E., Trace, F., Boede, U., Ostertag, K., & Radgen, P. (2000). Barriers to energy efficiency in public and private organizations. University of Sussex.

    Google Scholar 

  • Statistical Center of Iran (SCI), (2022). Available at: https://www.amar.org.ir/ [Accessed 20 December 2021].

  • Stevenson, F., Baborska-Narozny, M. (2018). Housing performance evaluation: Challenges for international knowledge exchange. Building Research and Information, 46(5), 501–512.

  • Streitferdt, V. (2016). PhD thesis: Optimising energy efficiency finance in emerging economies in Southeast Asia. University of Technology, Sydney.

  • Thollander, P., & Dotzauer, E. (2010). An energy efficiency program for Swedish industrial small- and medium-sized enterprises. Journal of Cleaner Publication, 18, 1339–1346.

    Google Scholar 

  • Thollander, P., & Ottosson, M. (2008). An energy efficient Swedish pulp and paper industry—Exploring barriers to and driving forces for cost-effective energy efficiency investments. Energy Efficiency, 1, 21–34.

    Article  Google Scholar 

  • Thomas, S. (2015). Energy efficiency policies for buildings, in bigEE-Your guide to energy efficiency in buildings. Germany: Wuppertel Institute.

  • United Nations Environment Program (UNEP) (2006). Barriers to energy efficiency in Industry in Asia - Review and policy guidance.

  • United Nations Environment Program (UNEP), (2020). 2020 global status report for buildings and construction: Toward a zero-emission, efficient and resilient buildings and construction sector.

  • Wang, F. (2009). Factor analysis and principal-components analysis. International Encyclopedia of Human Geography, 4, 1–7.

  • Wang, G., Zhao, T., & Wang, Y. (2008). Analysis of interactions among the barriers to energy saving in China. Energy Policy, 36(6), 1879–1889.

    Article  Google Scholar 

  • Weber, L. (1997). Some reflections on barriers to the efficient use of energy. Energy Policy, 25(10), 833–835.

    Article  Google Scholar 

  • Webler, T., Danielson, S., Tuler, S. (2009). Using Q-method to reveal social perspectives in environmental research. Greenfield, MA: Social and Environmental Research Institute.

  • Weiss, J., Dunkelberg, E., & Vogelpohl, T. (2012). Improving policy instruments to better tap into homeowner refurbishment potential: Lessons learned from a case study in Germany. Energy Policy, 44, 406–415.

    Article  Google Scholar 

  • Winkler, K., & Nicholas, K. (2016). More than wine: Cultural ecosystem services in vineyard landscapes in England and California. Ecological Economics, 124, 86–98.

    Article  Google Scholar 

  • Zhang, L., Guo, S., Wu, Z., Alsaedi, A., & Hayat, T. (2018). SWOT analysis for the promotion of energy efficiency in rural buildings: A case study of China. Energies, 11(4), 851.

    Article  Google Scholar 

  • Zheng, D., Yu, L., Wang, L., & Tao, J. (2019). Integrating willingness analysis into investment prediction model for large scale building energy saving retrofit using fuzzy multiple attribute decision making method with Monte Carlo simulation. Sustainable Cities and Society, 44, 291–309.

    Article  Google Scholar 

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Acknowledgements

We thank the anonymous reviewers for their helpful comments.

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Authors and Affiliations

  1. Department of Architecture and Urban Planning, Shahid Beheshti University, Tehran, Iran

    Mohammad Kazemi

  2. Department of Industrial Management, Faculty of Management, University of Tehran, P.O. Box: 14155-6311, Tehran, Iran

    Aliyeh Kazemi

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  1. Mohammad Kazemi
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Correspondence to Aliyeh Kazemi.

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Kazemi, M., Kazemi, A. Financial barriers to residential buildings’ energy efficiency in Iran. Energy Efficiency 15, 30 (2022). https://doi.org/10.1007/s12053-022-10039-8

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