A comprehensive framework for solar panel technology selection: A BWM‐ MULTIMOOSRAL approach

• Published in: Energy science & engineering 2022-12, Vol.10 (12), p.4595-4625
• Main Authors: Shayani Mehr, Pegah, Hafezalkotob, Ashkan, Fardi, Keyvan, Seiti, Hamidreza, Movahedi Sobhani, Farzad, Hafezalkotob, Arian
• Format: Article
• Language: English
• Subjects: Alternative energy sources; best–worst method; Copper indium gallium selenides; Decision analysis; Decision making; Energy industry; Energy technology; Fossil fuels; MULTIMOOSRAL; multiple criteria decision making; Multiple criterion; Perovskites; Photovoltaic cells; Ranking; Renewable energy; Sensitivity analysis; Solar cells; Solar energy; solar panel; Solar panels; technology selection
• ISSN: 2050-0505; 2050-0505
• DOI: 10.1002/ese3.1292

Concerning the overwhelming advantages of solar energy, controlling and exploiting solar energy by using solar panels is one of the main fields of research in the domain of renewable energy. The choice of solar panel technology is highly significant to exploit as much energy as possible. In this paper, the main goal is to select the best technology for solar panels by investigating nine technologies from the first, second, and third generations of solar panels. Moreover, five sustainable criteria of electrical, mechanical, economic, technical, and climate, and 20 subcriteria are given for making decision analysis. Then, the best–worst method is employed according to the experts' opinions for weighting the criteria and for comparing the ranking of the solar energy technologies a framework based on the MULTIMOOSRAL multiple criteria decision‐making method is proposed. Finally, sensitivity analysis will be conducted on the ranking of the technologies. By exploiting the proposed methodology, CIS/CIGS and Perovskite Solar cell are ranked 1 and 2 as the best solar panel technologies for the selected locations. In this paper, the main goal is to select the best technology for solar panels by investigating nine technologies from the first, second, and third generations of solar panels. Moreover, five sustainable criteria of electrical, mechanical, economic, technical, and climate, and 20 subcriteria are given for making decision analysis. Then, the best–worst method is employed according to the experts' opinions for weighting the criteria and for comparing the ranking of the solar energy technologies a framework based on the MULTIMOOSRAL multiple criteria decision‐making method is proposed.