Development of a best-worst method based MCDM approach for solar power plant location selection: an application to Tunceli, Turkey

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Özet

Solar energy stands out with its increasing potential in the world. The decision to choose the location of a solar power plant is very important due to the investment return. In this study, a solar power plant site selection for Tunceli, Turkey is studied with a two-stage multi-criteria decision-making approach. In the first stage, the importance levels of the determined nine factors are obtained by the best-worst method (BWM). In the second stage, the most appropriate site is selected among the eight districts of Tunceli. As a result of the first stage, solar and fault line emerged as the most and least important factor, respectively. The second stage showed that Pertek district is the most suitable place. A comparative framework has been created including five different MCDM methods, which strengthens the final decision's accuracy and reveals whether each method's results are correlated.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/munzur/3011Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1504/ijmcdm.2023.134927Yayıncı resmi DOI adresi
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AlanDeğerDil
dc.contributor.authorAykac, Yunus Emre
dc.contributor.authorYucesan, Melih
dc.contributor.authorGul, Muhammet
dc.date.accessioned2026-10-28T14:56:06.390843351Z
dc.date.available2026-10-28T14:56:06.390843351Z
dc.date.issued2023
dc.description.abstractSolar energy stands out with its increasing potential in the world. The decision to choose the location of a solar power plant is very important due to the investment return. In this study, a solar power plant site selection for Tunceli, Turkey is studied with a two-stage multi-criteria decision-making approach. In the first stage, the importance levels of the determined nine factors are obtained by the best-worst method (BWM). In the second stage, the most appropriate site is selected among the eight districts of Tunceli. As a result of the first stage, solar and fault line emerged as the most and least important factor, respectively. The second stage showed that Pertek district is the most suitable place. A comparative framework has been created including five different MCDM methods, which strengthens the final decision's accuracy and reveals whether each method's results are correlated.
dc.identifier.doi10.1504/ijmcdm.2023.134927
dc.identifier.endpage350
dc.identifier.issn2040-106X
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85178043258
dc.identifier.startpage322
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/3011
dc.identifier.volume9
dc.language.isoen
dc.publisherInderscience Publishers
dc.relation.ispartofInternational Journal of Multicriteria Decision Making
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectbest-worst method
dc.subjectBWM
dc.subjectmulti-criteria decision-making
dc.subjectpower plant location
dc.subjectsolar energy
dc.subjectTunceli
dc.subjectTurkey
dc.titleDevelopment of a best-worst method based MCDM approach for solar power plant location selection: an application to Tunceli, Turkey
dc.typeArticle
rdl.citation.openalex3
rdl.citation.scopus5
rdl.oa.statusclosed
rdl.scopus.quartileQ4
rdl.sdgSDG07
rdl.sdgSDG09
rdl.source.indexSCOPUS