Wind farm site selection using geographic information system and fuzzy decision making model

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dc.authoridDeveci, Muhammet/0000-0002-3712-976X
dc.authoridDEMIR, Gulay/0000-0002-3916-7639
dc.authoridRiaz, Muhammad/0000-0001-8115-9168
dc.contributor.authorDemir, Gulay
dc.contributor.authorRiaz, Muhammad
dc.contributor.authorDeveci, Muhammet
dc.date.accessioned2024-10-26T18:10:56Z
dc.date.available2024-10-26T18:10:56Z
dc.date.issued2024
dc.departmentSivas Cumhuriyet Üniversitesi
dc.description.abstractAs the demand for renewable energy sources increases, finding the right places to install wind turbines becomes more and more important. The goal of this research is to create and implement a technique that uses geographic information system (GIS) technology to discover appropriate wind farm locations utilizing multi-criteria decision-making (MCDM) approaches. The complexity of this decision-making process, which includes multiple criteria and uncertainty, requires the use of advanced techniques. Fuzzy MCDM methods provide a framework for evaluating and prioritizing potential wind farm sites, taking into account subjective judgments and linguistic terms. In this article, Fuzzy Stepwise Weight Evaluation Ratio Analysis (F-SWARA) is preferred for prioritizing and ranking the criteria in the wind farm installation, while Fuzzy Measurement Alternatives and Ranking by Compromise Solution (F-MARCOS) are used to determine the most suitable location for the wind farm. A database of alternatives and criteria was created using GIS, which was converted into a fuzzy decision matrix via triangular fuzzy numbers. In order to make this evaluation, Sivas province, located in the middle of Turkey, was chosen as the study area. Results obtained show that 36,5% of the whole study area is very suitable for wind farm, and G & uuml;r & uuml;n and Kangal districts are suitable for wind farm. According to the result of F-SWARA method used to evaluate the criteria, wind speed is the most important criteria with a weight of 0,45039. According to the F-MARCOS method used for wind farm site selection, Ulas , district was determined the most suitable location. Furthermore, a sensitivity analysis was performed to test the robustness of the proposed methodology and the results revealed that the proposed integrated MCDM framework is feasible.
dc.identifier.doi10.1016/j.eswa.2024.124772
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.scopus2-s2.0-85198506979
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2024.124772
dc.identifier.urihttps://hdl.handle.net/20.500.12418/30453
dc.identifier.volume255
dc.identifier.wosWOS:001271965900001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherPergamon-Elsevier Science Ltd
dc.relation.ispartofExpert Systems With Applications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectRenewable energy
dc.subjectWind farm
dc.subjectFuzzy set theory
dc.subjectMulti -criteria decison making
dc.subjectGIS
dc.titleWind farm site selection using geographic information system and fuzzy decision making model
dc.typeArticle

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