Akademik Veri Yönetim Sistemi
Optimization in Sustainable Energy: Methods and Applications, wiley, ss.27-67, 2026
With the advancement of technology and growth of industrialization and urbanization, climate change has become a matter of serious concern impacting lives and livelihoods. Over the past several decades, there has been a conscious effort to use renewable energy sources (RESs) to mitigate the adverse effects of climate change and achieve sustainable development goals. In this chapter, a multicriteria decision-making (MCDM) framework is developed to compare the popular RESs in India. The theoretical framework of extended Technology-Organization- Environment (TOE) is used to set the criteria. The RESs are compared based on the opinions of the experts. The present study provides a number of methodological novelties. First, it provides a novel extension of the field of p, q-Quasirung Orthopair fuzzy sets (p, q-QOFS) by defining fairly aggregation operator for aggregating and analyzing the subjective opinions of the experts. Second, a modification of preference selection index method with non-linear standardization (PSI-NS) is presented for determining the criteria weight. Third, a novel extension of evaluation based on relative utility and nonlinear standardization (ERUNS) method is made using p, q-Quasirung Orthopair fuzzy weighted fairly aggregation (p, q QOFWFA). The results are compared with various other MCDM methods, and sensitivity analysis is carried out to examine the stability. It is seen that solar cells (score = 2.6099) and waste to energy (score = 2.1041) emerge as the top two RESs. It is also evident that experts put emphasis on criteria like environmental impact, operational risk, technology know-how, and infrastructure. The present paper contributes to the literature with a new approach for comparing RESs and an innovative p, q-QOFS-based analytical framework for group decision making.