Socio-political evaluation of renewable energy resources under uncertain environment

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dc.authoridBulut, Merve/0000-0002-4412-9071
dc.contributor.authorYurek, Yagmur Torul
dc.contributor.authorOzyoruk, Bahar
dc.contributor.authorOzcan, Evrencan
dc.contributor.authorBulut, Merve
dc.date.accessioned2025-01-21T16:44:26Z
dc.date.available2025-01-21T16:44:26Z
dc.date.issued2023
dc.departmentKırıkkale Üniversitesi
dc.description.abstractCountries 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.
dc.identifier.doi10.1016/j.engappai.2023.106881
dc.identifier.issn0952-1976
dc.identifier.issn1873-6769
dc.identifier.scopus2-s2.0-85170230845
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.engappai.2023.106881
dc.identifier.urihttps://hdl.handle.net/20.500.12587/25457
dc.identifier.volume126
dc.identifier.wosWOS:001079024200001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofEngineering Applications of Artificial Intelligence
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectSocio-political index; Renewable energy; Fuzzy MCDM; PFAHP; PFTOPSIS
dc.titleSocio-political evaluation of renewable energy resources under uncertain environment
dc.typeArticle

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