Multi-criteria decision making for solar power - Wind power plant site selection using a GIS-intuitionistic fuzzy-based approach with an application in the Netherlands

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dc.contributor.authorŞahin, Gökhan
dc.contributor.authorKoç, Ahmet
dc.contributor.authorSark, Wilfried van
dc.date.accessioned2024-04-05T06:00:45Z
dc.date.available2024-04-05T06:00:45Z
dc.date.issued2024en_US
dc.departmentDicle Üniversitesi, Diyarbakır Teknik Bilimler Meslek Yüksekokulu, Park ve Bahçe Bitkileri Bölümüen_US
dc.description.abstractThe development of a country cannot be realized only through the amount of energy it produces and its industrialization. In a country where its people are left homeless and poor, and its cultural and natural riches are destroyed, the electricity produced is not a measure of development on its own. Development and progress must be considered from a holistic perspective that includes the country's geographical structure, all its living creatures, culture, urban and social structure as a whole. In this respect, the transition to renewable energy is imperative. One of the most widely used renewable energies in the Netherlands is solar and wind energy. For these power plants, site selection is an important factor in reducing the installation cost of the wind and solar power plant and achieving maximum efficiency during operation. This paves the way for the study of a site selection problem. In this study, we first investigate possible locations for solar-wind power plant installation for 12 regions of the Netherlands, namely Noord Holland, Gelderland, Friesland, North Brabant, Drenthe, Groningen, Zeeland (Middelburg), Utrecht, Zuid Holland, Limburg, Over Ijssel and Flevoland, using GIS as a mapping method, and then apply a Intuitionistic fuzzy-based approach to the problem to obtain the optimal locations for both solar and wind energy. Furthermore, the results of two methods (GIS and Intuitionistic fuzzy-based approach) are compared to obtain more accurate results. The results show that 35317.2 km2 is suitable for solar power plant and 34844.5 km2 is suitable for wind turbine, but only 34875.8 km2 is suitable for solar-wind power plan installation.en_US
dc.identifier.citationŞahin, G., Koç, A. ve Sark, W. V. (2024). Multi-criteria decision making for solar power - Wind power plant site selection using a GIS-intuitionistic fuzzy-based approach with an application in the Netherlands. Energy Strategy Reviews, 51, 1-15.en_US
dc.identifier.doi10.1016/j.esr.2024.101307en_US
dc.identifier.endpage15en_US
dc.identifier.issn2211-467X
dc.identifier.scopus2-s2.0-85182892426en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S2211467X24000142?via
dc.identifier.urihttps://hdl.handle.net/11468/13849
dc.identifier.volume51en_US
dc.identifier.wosWOS:001169565500001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKoç, Ahmet
dc.language.isoenen_US
dc.publisherElsevier Ltd.en_US
dc.relation.ispartofEnergy Strategy Reviewsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEcological criteriaen_US
dc.subjectGeographical Information Systems (GIS)en_US
dc.subjectIntuitionistic fuzzyen_US
dc.subjectMulti-criteria decision-makingen_US
dc.subjectSolar power plant siting mapen_US
dc.subjectSolar-wind optimal siting mapen_US
dc.subjectWind power plant siting mapen_US
dc.titleMulti-criteria decision making for solar power - Wind power plant site selection using a GIS-intuitionistic fuzzy-based approach with an application in the Netherlandsen_US
dc.typeArticleen_US

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