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dc.contributor.authorTercan, Emre
dc.contributor.authorSaraçoğlu, Burak Ömer
dc.contributor.authorBilgilioğlu, Süleyman Sefa
dc.contributor.authorEymen, Abdurrahman
dc.contributor.authorTapkın, Serkan
dc.date.accessioned2020-05-06T13:04:57Z
dc.date.available2020-05-06T13:04:57Z
dc.date.issued2020
dc.identifier.citationTercan, E., Saracoglu, B. O., Bilgilioğlu, S. S., Eymen, A. & Tapkın, S.(2020). Geographic information system-based investment system for photovoltaic power plants location analysis in Turkey. Environmental Monitoring and Assessment, 192(5).en_US
dc.identifier.issn1573-2959
dc.identifier.urihttp://hdl.handle.net/20.500.12566/473
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.en_US
dc.description.sponsorshipNo sponsoren_US
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGeographic information systemen_US
dc.subjectCoğrafi bilgi sistemitr_TR
dc.subjectLand suitabilityen_US
dc.subjectArazi uygunluğutr_TR
dc.subjectMulti-criteria decision-makingen_US
dc.subjectÇok kriterli karar vermetr_TR
dc.subjectPhotovoltaicen_US
dc.subjectFotovoltaiktr_TR
dc.subjectSpatial analysisen_US
dc.subjectMekansal analiztr_TR
dc.subjectSubjective weightingen_US
dc.subjectÖznel ağırlıktr_TR
dc.titleGeographic information system-based investment system for photovoltaic power plants location analysis in Turkeyen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.relation.publicationcategoryInternational publicationen_US
dc.identifier.scopus2-s2.0-85083667885
dc.identifier.volume192
dc.identifier.issue5
dc.contributor.orcid0000-0003-1417-9972 [Tapkın, Serkan]
dc.contributor.abuauthorTapkın, Serkan
dc.contributor.yokid50568 [Tapkın, Serkan]
dc.contributor.ScopusAuthorID23487315300 [Tapkın, Serkan]
dc.identifier.PubMedID32307588
dc.identifier.doihttps://doi.org/10.1007/s10661-020-08267-5


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