Strategic location analysis for offshore wind farms to sustainably fulfill railway energy demand in Turkey

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dc.contributor.authorÖnden, İsmail
dc.contributor.authorKara, Karahan
dc.contributor.authorYalçın, Galip Cihan
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorÖnden, Abdullah
dc.contributor.authorEker, Mert
dc.date.accessioned2024-12-02T11:52:21Z
dc.date.available2024-12-02T11:52:21Z
dc.date.issued2024
dc.departmentAÇÜ, Hopa Meslek Yüksekokulu, Yönetim ve Organizasyon Bölümüen_US
dc.description.abstractProviding the energy demands of various sectors through the utilization of renewable energy sources offers a more sustainable and long-term approach compared to fossil fuel consumption. In this study, the proposition is made to address Turkey's rail industry energy demand through Offshore Wind Farms (OWF). Accordingly, the spatial analysis for determining the most suitable OWF location is explored. The research methodology is conducted based on a Geographic Information System-Multi-Criteria Decision Making (GIS-MCDM) hybrid approach. Alternative OWF locations are identified using GIS. Location selection criteria are established based on literature review, and a fuzzy-based decision matrix is constructed, incorporating expert opinions. To leverage two distinct fuzzy number sets, Intuitionistic Fuzzy Weighted Averaging (IFWA) and Spherical Fuzzy Stepwise Weight Assessment Ratio Analysis (SF-SWARA) methods are employed for criteria weighting, followed by the aggregation of criterion weights using the Einstein Operations t-norm technique. To ensure comparable OWF alternative rankings, five different alternative ranking methods are employed to obtain alternative rankings. Ultimately, the most suitable OWF location for meeting the energy demand of the rail industry is determined to be the Izmir region. The research findings contribute to managerial perspectives by proposing recommendations concerning strategic location selection, optimized resource allocation, risk mitigation and policy alignment and sustainable long-term planning.
dc.identifier.doi10.1016/j.jclepro.2023.140142
dc.identifier.issn0959-6526
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1016/j.jclepro.2023.140142
dc.identifier.urihttps://hdl.handle.net/11494/5083
dc.identifier.volume434en_US
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofJournal of Cleaner Production
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectGISen_US
dc.subjectIntuitionistic Fuzzy Setsen_US
dc.subjectMCDMen_US
dc.subjectSpatial Decision Makingen_US
dc.subjectSpherical Fuzzy Setsen_US
dc.subjectT2NNsen_US
dc.titleStrategic location analysis for offshore wind farms to sustainably fulfill railway energy demand in Turkeyen_US
dc.typeArticle

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