Site selection optimization for 100% renewable energy sources

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dc.contributor.authorDerse, Onur
dc.contributor.authorYilmaz, Ebru
dc.date.accessioned2025-03-17T12:22:45Z
dc.date.available2025-03-17T12:22:45Z
dc.date.issued2024
dc.departmentTarsus Üniversitesi
dc.description.abstractThe increase in the use of Renewable Energy Sources (RES) provides many advantages such as reducing the environmental problems and sustainability. In this study, a long-term optimum RES settlement strategic plan is conducted for 81 provinces in Turkey by considering real data. Biomass energy, solar energy, hydroelectric energy, geothermal energy, and wind energy are considered RES sources. Energy consumption until the 2050 year is estimated with the regARIMA method, and then a weighted goal programming model was developed in which the outputs of the regARIMA method and risk analysis are integrated. The results of the regARIMA method are tested, and the test results indicate that an R2 value close to 1 indicates that the model is suitable, a low and negative MPE value is neutral, and a MAPE value below 4% indicates high accuracy of the model. Using GAMS 23.5 optimization software program, the developed weighted goal programming model is solved optimally. In this integrated model developed, the objectives of minimizing the installation time, minimizing the investment cost, minimizing the annual cost, maximizing the carbon emission reduction, maximizing the usage time, and minimizing the risk are considered. When the results obtained regarding the number of installations according to the model are examined, the decisions are made for 53% wind energy, 23% biomass energy, 13% hydroelectric energy, 9% solar energy, and 2% geothermal energy. Computational results show that the effective solutions are obtained by minimizing the sum of goals values, covering all provinces in Turkey, and considering real data. © The Author(s) 2024.
dc.description.sponsorshipTurkish Electricity Transmission Corporation
dc.description.sponsorshipTürkiye Ministry of Agriculture and Forestry Turkish State Meteorological Service
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK
dc.identifier.doi10.1007/s11356-024-32733-z
dc.identifier.endpage26805
dc.identifier.issn0944-1344
dc.identifier.issue18
dc.identifier.pmid38459282
dc.identifier.scopus2-s2.0-85186872009
dc.identifier.scopusqualityQ1
dc.identifier.startpage26790
dc.identifier.urihttps://doi.org/10.1007/s11356-024-32733-z
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1347
dc.identifier.volume31
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofEnvironmental Science and Pollution Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_Scopus_20250316
dc.subjectGoal programming model
dc.subjectOptimization
dc.subjectRegARIMA method
dc.subjectRenewable energy
dc.subjectSite selection
dc.titleSite selection optimization for 100% renewable energy sources
dc.typeArticle

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