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Behavioral barriers to the use of renewable and energy-efficient technologies in residential buildings in Iran

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A Correction to this article was published on 17 April 2024

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Abstract

In Iran, residential buildings contribute 28.4% to total energy consumption and 18.1% to total carbon dioxide emissions. However, there are several barriers that hinder energy efficiency in these buildings, including environmental, technical, financial, social, and legal factors. Among these barriers, behavioral obstacles are considered the most significant challenge to achieving energy-efficient buildings. The purpose of this paper is to examine the obstacles that prevent people from using renewable and energy-efficient technologies, and how they impact other barriers and potential solutions. The study used a combination of research methods, such as document analysis and semi-structured interviews, to create a questionnaire for 69 architectural experts in Iran. The data was then analyzed using principal component analysis (PCA) to understand the connection between the behavioral barriers. The study revealed that traditional education and a lack of online feedback are responsible for building occupants’ lack of awareness. Unenforced regulations can also lead to a lack of motivation and interest, which ultimately results in resistance to behavioral change. In addition, inappropriate curtailing of behaviors and disregard for active and passive systems, as well as recycling strategies, can lead to high consumption behaviors. Weak government policies, a lack of practical solutions and design, and the absence of aesthetic and symbolic benefits are the underlying reasons why energy-efficient technologies are not appealing to consumers. The study’s findings are a useful resource for policymakers in Iran and other countries to understand the current obstacles to improving residential building energy efficiency and to develop new solutions to overcome these obstacles.

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References

  • Adly, B., & El-Khouly, T. (2022). Combining retrofitting techniques, renewable energy resources and regulations for residential buildings to achieve energy efficiency in gated communities. Ain Shams Engineering Journal, 13(6), 101772.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Amasyali, K., & El-Gohary, N. (2021). Machine learning for occupant-behavior-sensitive cooling energy consumption prediction in office buildings. Renewable and Sustainable Energy Reviews, 142, 110714.

    Article  Google Scholar 

  • Axsen, J., TyreeHagman, J., & Lentz, A. (2012). Lifestyle practices and pro-environmental technology. Ecological Economics, 82, 64–74.

    Article  Google Scholar 

  • Bagaini, A., Colelli, F., Croci, E., & Molteni, T. (2020). Assessing the relevance of barriers to energy efficiency implementation in the building and transport sectors in eight European countries. The Electricity Journal, 33(8), 106820.

    Article  Google Scholar 

  • Blomqvist, S., Odlund, L., & Rodhin, P. (2022). Understanding energy efficiency decisions in the building sector – A survey of barriers and drivers in Sweden. Cleaner Engineering and Technology, 9, 100527.

    Article  Google Scholar 

  • Boulmaiz, F., Reignier, P., & Ploix, S. (2022). An occupant-centered approach to improve both his comfort and the energy efficiency of the building. Knowledge-Based Systems, 249, 108970.

    Article  Google Scholar 

  • Camarasa, C., Kalahasthi, L. K., & Rosado, L. (2021). Drivers and barriers to energy-efficient technologies (EETs) in EU residential buildings. Energy and Built Environment, 2(3), 290–301.

    Article  Google Scholar 

  • Chen, X., & Gou, Z. (2022). Bridging the knowledge gap between energy-saving intentions and behaviors of young people in residential buildings. Journal of Building Engineering, 57, 104932.

    Article  Google Scholar 

  • Chen, S., Zhang, G., **a, X., Chen, Y., Setunge, S., & Shi, L. (2021). The impacts of occupant behavior on building energy consumption: A review. Sustainable Energy Technologies and Assessments, 45, 101212.

    Article  Google Scholar 

  • Chen, T., Sun, H., Tai, K. F., & Heng, C. K. (2022). Analysis of the barriers to implementing building integrated photovoltaics in Singapore using an interpretive structural modelling approach. Journal of Cleaner Production, 365, 132652.

    Article  Google Scholar 

  • Cristino, T. M., Faria Neto, A., Wurtz, F., & Delinchant, B. (2021). Barriers to the adoption of energy-efficient technologies in the building sector: A survey of Brazil. Energy and Buildings, 111452–111252.

  • 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, type of buildings, and geographic regions. Renewable and Sustainable Energy Reviews, 135, 110191.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Du, J., & Pan, W. (2022). Cooling-related energy uses and adaptive behaviors in high-rise residential buildings in the subtropical climate: A case study in Hong Kong. Building and Environment, 223, 109456.

    Article  Google Scholar 

  • Ghouchani, M., Taji, M., Cheheltani, A. S., & Chehr, M. S. (2021). Develo** a perspective on the use of renewable energy in Iran. Technological Forecasting and Social Change, 172, 121049.

    Article  Google Scholar 

  • Giraudet, L. G. (2020). Energy efficiency as a credence good: A review of informational barriers to energy savings in the building sector. Energy Economics, 87, 104698.

    Article  Google Scholar 

  • Hax, D. R., Leitzke, R. K., Silva, B., & Cunha, E. G. (2022). Influence of user behavior on energy consumption in a university building versus automation costs. Energy and Buildings, 256, 111730.

    Article  Google Scholar 

  • Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A., Varlamis, I., Bravos, G., Sardianos, C., & Dimitrakopoulos, G. (2022). Techno-economic assessment of building energy efficiency systems using behavioral change: A case study of an edge-based micro-moments solution. Journal of Cleaner Production, 331, 129786.

    Article  Google Scholar 

  • Hrovatin, N., Cagno, E., Dolsak, J., & Zoric, J. (2021). How important are perceived barriers and drivers versus other contextual factors for the adoption of energy efficiency measures: An empirical investigation in manufacturing SMEs. Journal of Cleaner Production, 323, 129123.

    Article  Google Scholar 

  • Huang, H., Wang, H., Hu, Y. J., Li, C., & Wang, X. (2022). Optimal plan for energy conservation and CO2 emissions reduction of public buildings considering users' behavior: Case of China. Energy, 261 A, 125037.

    Article  Google Scholar 

  • Iran’s Energy Balance. (2019). Ministry of energy. Available at: https://pep.moe.gov.ir/. Accessed 20 Dec 2021.

  • Jia, M., Srinivasan, R. S., & Raheem, A. A. (2017). From occupancy to occupant behavior: An analytical survey of data acquisition technologies, modeling methodologies and simulation coupling mechanisms for building energy efficiency. Renewable and Sustainable Energy Reviews, 68(A), 525–540.

    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 Policies, 114, 63–76.

    Article  Google Scholar 

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

    Google Scholar 

  • Kazemi, M. (2018b). Ph.D. thesis: Factors influencing energy reduction in buildings. Shahid Beheshti University.

    Google Scholar 

  • Kazemi, M., & Kazemi, A. (2022a). Investigating key variables for quantifying the impact of residential occupant behavior on building energy efficiency. Quarterly Journal of Energy Policy and Planning Research, 8(3), 102–126.

    Google Scholar 

  • Kazemi, M., & Kazemi, A. (2022b). Financial barriers to residential buildings energy efficiency in Iran. Energy Efficiency, 15, 30.

    Article  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 

  • Kim, Y. J., & Verdolini, E. (2023). International knowledge spillovers in energy technologies. Energy Strategy Reviews, 49, 101151.

    Article  Google Scholar 

  • Kim, J., Hong, T., Geong, J., Koo, C., & Kong, M. (2017). An integrated psychological response score of the occupants based on their activities and the indoor environmental quality condition changes. Building and Environment, 123, 66–77.

    Article  Google Scholar 

  • Kim, H., Ham, S., Promann, M., Devarapalli, H., Bihani, G., Ringenberg, T., et al. (2022). MySmartE- An eco-feedback and gaming platform to promote energy conserving thermostat-adjustment behaviors in multi-unit residential buildings. Building and Environment, 221, 109252.

    Article  Google Scholar 

  • Kumar, P., Caggiano, H., Shwom, R., Felder, F. A., & Andrews, C. J. (2023). Saving from home! How income, efficiency, and curtailment behaviors shape energy consumption dynamics in US households? Energy, 271, 126988.

    Article  Google Scholar 

  • Kuo, T. C., Tseng, M. L., Lin, C. H., Wang, R. W., & Lee, C. H. (2018). Identifying sustainable behavior of energy consumers as a driver of design solutions: The missing link in eco-design. Journal of Cleaner Production, 192, 486–495.

    Article  Google Scholar 

  • Lai, Y., Sokratis, P., Fuerst, F., Pivo, G., Sagi, J., & Kontokosta, C. E. (2022). Building retrofit hurdle rates and risk aversion in energy efficiency investments. Applied Energy, 306 B, 118048.

    Article  Google Scholar 

  • Liu, C. H. (2021). Conducting qualitative and quantitative analyses of sustainable behavior. Journal of Retailing and Consumer Services, 60, 102474.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Malik, J., Mahdavi, A., Azar, E., Putra, H. C., Berger, C., Andrews, C., & Hong, T. (2022). Ten questions concerning agent-based modeling of occupant behavior for energy and environmental performance of buildings. Building and Environment, 217, 109016.

    Article  Google Scholar 

  • Michelsen, C. C., & Madlener, R. (2013). Motivational factors influencing the homeowners' decision between residential heating systems: An empirical analysis for Germany. Energy Policy, 57, 221–233.

    Article  Google Scholar 

  • Moeller, S., & Bauer, A. (2022). Energy (in)efficient comfort practices: How building retrofits influence energy behaviors in multi-apartment buildings. Energy Policy, 168, 113123.

    Article  Google Scholar 

  • Ohene, E., Chan, A. P. C., & Darko, A. (2022). Prioritizing barriers and develo** mitigation strategies toward net-zero carbon building sector. Building and Environment, 223, 109437.

    Article  Google Scholar 

  • Simo-Solsona, M., Palumbo, M., Bosch, M., & Fernandez, A. L. (2021). Why it's so hard? Exploring social barriers to the deployment of thermal energy storage in Spanish buildings. Energy Research & Social Science, 76, 102057.

    Article  Google Scholar 

  • Song, K., Kwon, N., Anderson, K., Park, M., Lee, H. S., & Lee, S. (2017). Predicting hourly energy consumption in buildings using occupancy-related characteristics of end-user groups. Energy and Buildings, 156, 121–133.

    Article  Google Scholar 

  • Tadeu, S., Rodrigues, C., Marques, P., & Freire, F. (2022). Eco-efficiency to support selection of energy conservation measures for buildings: A life-cycle approach. Journal of Building Engineering, 61, 105142.

    Article  Google Scholar 

  • Trotta, G. (2018). Factors affecting energy-saving behaviors and energy efficiency investments in British households. Energy Policy, 114, 529–539.

    Article  Google Scholar 

  • Uddin, M. N., Chi, H. L., Wei, H. H., Lee, M., & Ni, M. (2022). Influence of interior layouts on occupant energy-saving behavior in buildings: An integrated approach using agent-based modelling, system dynamics and building information modelling. Renewable and Sustainable Energy Reviews, 161, 112382.

    Article  Google Scholar 

  • United Nations Environment Programme (UNEP). (2022). 2022 Global status report for buildings and construction: Toward a zero-emissions, efficient and resilient buildings and construction sector.

  • Wang, S., Wu, J., Peng, Y., Xu, J., Leinonen, L., Wang, Y., & Meng, Z. (2022). Influence of residential photovoltaic promotion policy on installation intention in typical regions of China. Sustainability, 14(14), 8659.

    Article  Google Scholar 

  • Weber, I. (2021). The interplay of building efficiency and households' ventilation behavior: Evidence of an inverse U-shaped correlation. Energy and Buildings, 252, 111466.

    Article  Google Scholar 

  • Wei, Q., Li, Q., Yang, Y., Zhang, L., & **e, W. (2022). A summary of the research on building load forecasting model of colleges and universities in North China based on energy consumption behavior: A case in North China. Energy Reports, 8(4), 1446–1462.

    Article  Google Scholar 

  • Whitney, S., Dreyer, B. C., & Riemer, M. (2020). Motivations, barriers and leverage points: Exploring pathways for energy consumption reduction in Canadian commercial office buildings. Energy Research & Social Science, 70, 101687.

    Article  Google Scholar 

  • Yeatts, D., Auden, D., Cooksey, C., & Chen, C. F. (2017). A systematic review of strategies for overcoming the barriers to energy-efficient technologies in buildings. Energy Research & Social Science, 32, 76–85.

    Article  Google Scholar 

  • Zarepour, Z., & Wagner, N. (2023). How manufacturing firms respond to energy subsidy reforms? An impact assessment of the iranian energy subsidy reform. Energy Economics, 124, 106762.

    Article  Google Scholar 

  • Zhao, T., Zhang, C., Xu, J., Wu, Y., & Ma, L. (2021). Data-driven correlation model between human behavior and energy consumption for college teaching buildings in cold regions of China. Journal of Building Engineering, 38, 102093.

    Article  Google Scholar 

  • Zhou, X., Mei, Y., Liang, L., Mo, H., Yan, J., & Pan, D. (2022). Modeling of occupant energy consumption behavior based on human dynamics theory: A case study of a government office building. Journal of Building Engineering, 58, 104983.

    Article  Google Scholar 

  • Zierler, R., Wehrmeyer, W., & Murphy, R. (2017). The energy efficiency behavior of individuals in large organisations: A case study of a major UK infrastructure operator. Energy Policy, 104, 38–49.

    Article  Google Scholar 

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Authors and Affiliations

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

    Mohammad Kazemi

  2. College of Social Sciences and Arts, Sheffield Hallam University, Sheffield, UK

    Julia Udall

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  1. Mohammad Kazemi
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Correspondence to Mohammad Kazemi.

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Kazemi, M., Udall, J. Behavioral barriers to the use of renewable and energy-efficient technologies in residential buildings in Iran. Energy Efficiency 16, 79 (2023). https://doi.org/10.1007/s12053-023-10162-0

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