Yurek, Yagmur TorulOzyoruk, BaharOzcan, EvrencanBulut, Merve2025-01-212025-01-2120230952-19761873-6769https://doi.org/10.1016/j.engappai.2023.106881https://hdl.handle.net/20.500.12587/25457Countries are developing green transition policies to reduce their dependency on conventional resources and to eliminate environmental concerns while meeting increasing energy demand. Renewable energy, thus, has a crucial effect on accomplishing these policies. To ensure a rapid spread of renewable energy and develop resilient renewable energy policies concerning the evaluation of renewable energy resources, socio-political factors should be considered. However, evaluating renewable energy technologies regarding the socio-political aspect is clearly more difficult and uncertain than a study focused only on quantifiable objectives, but it is critical since real projects are affected by such aspects. Multi-criteria decision-making (MCDM) techniques are best for addressing such issues with conflicting objectives. In this study, an integrated AHP-TOPSIS method with Py-thagorean fuzzy sets (PFSs) was used to create the socio-political index for evaluating renewable energy hybrid technologies and Battery Energy Storage Systems (BESSs) in Turkey. The results showed that while solar energy has the highest socio-political index, Run of River with BESSs alternative ranks as the lowest.eninfo:eu-repo/semantics/closedAccessSocio-political index; Renewable energy; Fuzzy MCDM; PFAHP; PFTOPSISArticle12610.1016/j.engappai.2023.1068812-s2.0-85170230845Q1WOS:001079024200001Q1