Geographic information system-based investment system for photovoltaic power plants location analysis in Turkey

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dc.authorid0000-0002-2171-2299
dc.authorid0000-0003-1417-9972
dc.contributor.authorTercan, Emre
dc.contributor.authorSaraçoğlu, Burak Ömer
dc.contributor.authorBilgilioğlu, Süleyman Sefa
dc.contributor.authorEymen, Abdurrahman
dc.contributor.authorTapkın, Serkan
dc.date.accessioned2020-06-09T06:18:23Z
dc.date.available2020-06-09T06:18:23Z
dc.date.issued2020
dc.departmentMühendislik Fakültesi
dc.descriptionBilgilioğlu, Süleyman Sefa ( Aksaray, Yazar )
dc.description.abstractThe motivation of this research, development, demonstration, deployment, and diffusion (RD3&D) study is to present the progress of designing the GIS-based location selection module of autonomous investment decision support system and its experimental application for photovoltaic power plants (PVPPs) in Antalya, Burdur, and Isparta planning region Turkey. The other motivation of this RD3&D study is to start investigating in combinations the applicability and usability of weighted linear combination with 4 subjective weighting approaches (rank sum weight method (RS), inverse or reciprocal weights method (RR), rank order centroid (ROC), point allocation (PA)) for 5 main criteria, 14 sub-criteria, and 79 value ranges. The results show that 38.48% of the planning region is unsuitable, 61.52% is suitable. Only 2.07% of this region is very highly suitable according to RS. 7.13%, 9.22%, and 5.58% are respectively very highly suitable according to RR, ROC, and PA. Similarities between RS, RR, ROC, and PA methods are presented such as RS-RR: 0.7834, RS-ROC: 0.8510, and RS-PA: 0.6384 with covariance and correlation analysis. A backward-looking performance verification and validation analysis is also performed with 7 PVPPs for only 4 decisive success factors (capacity factor, annual energy/land use, project cost/capacity, project cost/energy). This study is thus able to evaluate the optimal locations for future investments, as well as the suitability conditions of the available investments. This study will contribute to provide some useful recommendations for decision makers to identify and assess the hotspots which are suitable for PVPPs in the planning region.
dc.identifier.doi10.1007/s10661-020-08267-5
dc.identifier.endpage-en_US
dc.identifier.issn0167-6369
dc.identifier.issue5en_US
dc.identifier.pmid32307588
dc.identifier.scopusqualityQ2
dc.identifier.startpage-en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s10661-020-08267-5
dc.identifier.urihttps://hdl.handle.net/20.500.12451/7555
dc.identifier.volume192en_US
dc.identifier.wosWOS:000529444500001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofEnvironmental Monitoring and Assessment
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectGeographic Information System
dc.subjectLand Suitability
dc.subjectMulti-criteria Decision-making
dc.subjectPhotovoltaic
dc.subjectSpatial Analysis
dc.subjectSubjective Weighting
dc.titleGeographic information system-based investment system for photovoltaic power plants location analysis in Turkey
dc.typeArticle

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