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A Decision-Making Model Proposal for the Use of Renewable Energy Technologies in Buildings in Turkey

Author

Listed:
  • Fatma Cesur

    (Department of Architecture, Bursa Technical University, Bursa 16310, Turkey
    Department of Architecture, Bursa Uludag University, Bursa 16059, Turkey)

  • Nilüfer Taş

    (Department of Architecture, Bursa Uludag University, Bursa 16059, Turkey)

  • Murat Taş

    (Department of Architecture, Bursa Uludag University, Bursa 16059, Turkey)

Abstract

With the increasing need for energy, issues related to using energy efficiently in buildings and employing renewable energy technologies are gaining significance. The building production process is intricate, involving numerous stakeholders, multiple decisions, and a combination of qualitative and quantitative data. This process necessitates decision making based on specific requirements. The objective of this study is to identify effective criteria in decision making concerning the use of renewable energy technologies (RETs) in buildings in Turkey. It aims to highlight the importance of these criteria and compare them, and it also aims to define a recommendation decision-making model for the widespread adoption of renewable energy technologies. This study employed qualitative and quantitative research methods. Based on information gathered from the literature, the main criteria and sub-criteria for RET utilization were determined through in-depth interviews with an expert group, including individuals influencing the building design process (architects, engineers, consultants, employers, and users). A recommendation model was developed using the analytic hierarchy process method to highlight the significance of the identified criteria, compare the criteria and technologies, and facilitate the selection of the most-appropriate technology. This study demonstrates that the decision-making model can be utilized in determining RET-related criteria in the building production process, establishing their weights, and make informed decisions regarding the appropriate technology.

Suggested Citation

  • Fatma Cesur & Nilüfer Taş & Murat Taş, 2024. "A Decision-Making Model Proposal for the Use of Renewable Energy Technologies in Buildings in Turkey," Energies, MDPI, vol. 17(10), pages 1-33, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:10:p:2354-:d:1393865
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    References listed on IDEAS

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    1. Foxon, T. J. & Gross, R. & Chase, A. & Howes, J. & Arnall, A. & Anderson, D., 2005. "UK innovation systems for new and renewable energy technologies: drivers, barriers and systems failures," Energy Policy, Elsevier, vol. 33(16), pages 2123-2137, November.
    2. Maldonado, Pedro & Márquez, Miguel, 1996. "Renewable energies: An energy option for sustainable development," Renewable Energy, Elsevier, vol. 9(1), pages 1072-1075.
    3. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    4. Weber, Lukas, 1997. "Some reflections on barriers to the efficient use of energy," Energy Policy, Elsevier, vol. 25(10), pages 833-835, August.
    5. Saaty, Thomas L. & Vargas, Luis G., 1987. "Uncertainty and rank order in the analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 32(1), pages 107-117, October.
    6. Reddy, Sudhakar & Painuly, J.P, 2004. "Diffusion of renewable energy technologies—barriers and stakeholders’ perspectives," Renewable Energy, Elsevier, vol. 29(9), pages 1431-1447.
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