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dc.contributor.authorLi, Jianzhong
dc.contributor.authorYüksel, Serhat
dc.contributor.authorDinçer, Hasan
dc.contributor.authorMikhaylov, Alexey
dc.contributor.authorBarykin, Sergey Evgenievich
dc.date.accessioned2022-05-12T09:04:50Z
dc.date.available2022-05-12T09:04:50Z
dc.date.issued2022en_US
dc.identifier.citationLi, J., Yüksel, S., Dinçer, H., Mikhaylov, A. ve Barykin, S. E. (2022). Bipolar q-ROF hybrid decision making model with golden cut for analyzing the levelized cost of renewable energy alternatives. IEEE Access, 10, 42507-42517. https://doi.org/10.1109/ACCESS.2022.3168315en_US
dc.identifier.issn2169-3536
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2022.3168315
dc.identifier.urihttps://hdl.handle.net/20.500.12511/9434
dc.description.abstractEnergy costs are the key factors regarding the selection of appropriate renewable energy (RWG) alternatives. All costs of a power plant, such as investment, operation, maintenance, and repair are considered in the scope of levelized costs. Therefore, for the effective determination of the selling price of the energy, levelized cost has a guiding role. Because the levelized costs of RWG alternatives develop the sustainable production and energy consumption for the long term, the leading indicators of these costs should be analyzed significantly. Accordingly, in this study, it is aimed to investigate the levelized cost of RWG alternatives by using bipolar q-rung orthopair fuzzy (q-ROF) hybrid decision-making approach. The novelty of this study is to recommend an integrated decision-making model based on bipolar and q-ROFSs with golden cut. At the first stage, bipolar q-ROF multi stepwise weight assessment ratio analysis (M-SWARA) is employed for weighting the selected criteria of levelized costs of RWG alternatives. At the following stage, bipolar q-ROF technique for order preference by similarity to ideal solution (TOPSIS) is considered to rank the alternatives in terms of the levelized cost performance. On the other side, vise kriterijumska optimizacija i kompromisno resenje (VIKOR) model is also considered to rank the alternatives. In addition to this issue, the sensitivity analysis is also performed with four cases comparatively. Hence, consistency, reliability and coherency of the proposed model can be measured. It is identified that capacity loss has the greatest importance regarding the levelized cost of RWG projects. Solar is found as the best clean energy type with respect to the levelized cost management performance. In this context, it would be appropriate for investors to design projects close to the center. This will contribute to increasing the efficiency and productivity of these projectsen_US
dc.description.sponsorshipKey Project of Philosophy and Social Sciences Research of Hubei Provincial Department of Education ; Ministry of Science and Higher Education of the Russian Federationen_US
dc.language.isoengen_US
dc.publisherIEEE-Institute of Electrical and Electronics Engineers Inc.en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectRenewable Energyen_US
dc.subjectBipolar Fuzzy Setsen_US
dc.subjectq-ROFSsen_US
dc.subjectGolden Cuten_US
dc.titleBipolar q-ROF hybrid decision making model with golden cut for analyzing the levelized cost of renewable energy alternativesen_US
dc.typearticleen_US
dc.relation.ispartofIEEE Accessen_US
dc.departmentİstanbul Medipol Üniversitesi, İşletme ve Yönetim Bilimleri Fakültesi, Uluslararası Ticaret ve Finansman Bölümüen_US
dc.authorid0000-0002-9858-1266en_US
dc.authorid0000-0002-8072-031Xen_US
dc.identifier.volume10en_US
dc.identifier.startpage42507en_US
dc.identifier.endpage42517en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/ACCESS.2022.3168315en_US
dc.institutionauthorYüksel, Serhat
dc.institutionauthorDinçer, Hasan
dc.identifier.wosqualityQ2en_US
dc.identifier.wos000788970700001en_US
dc.identifier.scopus2-s2.0-85129126645en_US
dc.identifier.scopusqualityQ1en_US


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