Multi-objective optimal sizing and techno-economic analysis of on- and off-grid hybrid renewable energy systems for EV charging stations

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dc.contributor.authorGonul, Omer
dc.contributor.authorDuman, A. Can
dc.contributor.authorGuler, Onder
dc.date.accessioned2025-02-20T08:42:18Z
dc.date.available2025-02-20T08:42:18Z
dc.date.issued2024
dc.departmentTürk-Alman Üniversitesien_US
dc.description.abstractIntegrating electric vehicle charging stations (EVCSs) with renewable energy systems requires the consideration of several factors during the planning stage, including environmental impact, economic viability, grid reliability, and self-sufficiency. Therefore, this study conducts a multi-objective optimal sizing of on- and off-grid hybrid renewable energy systems for EVCSs. The sizing problem is solved using the Non-dominated Sorting Genetic Algorithm (NSGA-II). Subsequently, the best suitable solutions from the obtained non-dominated solutions are selected using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method, prioritizing the objective functions based on diverse interests of different stakeholders (large and small private investors and governmental entities). Finally, a techno-economic analysis is made considering payback period, profitability index (PI), and internal rate of return (IRR). The results show that on-grid systems show high economic viability with payback periods between 1.98 and 7.72 years, an average PI of 5.07 and an average IRR of 23.97%. Although off-grid systems present lower economic viability with payback periods between 8.77 and 22.42 years, an average PI of 1.68 and an average IRR of 4.91%, in certain cases they reach investable levels with payback periods below 10 years, PI above 2, and IRR above the interest rate.
dc.description.sponsorshipScientific Research Projects Department of Istanbul Technical University [MDK-2022-43623]
dc.description.sponsorshipThe authors would like to thank the Republic of Tuerkiye, the Ministry of Transport and Infrastructure, and the staff of the General Directorate of Highways (KGM) for providing the data used in this study. This work was supported by the Scientific Research Projects Department of Istanbul Technical University. Project Number: MDK-2022-43623.
dc.identifier.doi10.1016/j.scs.2024.105846
dc.identifier.issn2210-6707
dc.identifier.issn2210-6715
dc.identifier.scopus2-s2.0-85205235464
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.scs.2024.105846
dc.identifier.urihttps://hdl.handle.net/20.500.12846/1634
dc.identifier.volume115en_US
dc.identifier.wosWOS:001329775800001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofSustainable Cities and Society
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250220
dc.subjectElectric vehicle charging stationen_US
dc.subjectCoordinated chargingen_US
dc.subjectPhotovoltaicen_US
dc.subjectWind energyen_US
dc.subjectEnergy storageen_US
dc.subjectOptimizationen_US
dc.titleMulti-objective optimal sizing and techno-economic analysis of on- and off-grid hybrid renewable energy systems for EV charging stations
dc.typeArticle

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