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dc.contributor.authorPoyrazoğlu, Göktürk
dc.contributor.authorGöktürk, Elvin Çoban
dc.date.accessioned2022-08-15T08:18:48Z
dc.date.available2022-08-15T08:18:48Z
dc.date.issued2021-07-15
dc.identifier.issn0360-5442en_US
dc.identifier.urihttp://hdl.handle.net/10679/7796
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0360544221005843
dc.description.abstractA stochastic value estimation tool serves as a planning tool with embedded modules for electrical and financial valuation of electric vehicle charging points. The tool is developed in stochastic nature for selected service and technology options. The tool is also valuable as a research tool to create a data set for a possible charging station with details of vehicle brands, state-of-charge at the arrival, charge duration, and waiting time. A case study for one of the biggest shopping malls in Istanbul, Turkey, where welcomes 350-400 electric vehicles per day is analyzed. The results are discussed on performance metrics such as the average waiting time in the queue, utilization of the station and each socket, profit, customer satisfaction, energy, and power consumption.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.ispartofEnergy
dc.rightsrestrictedAccess
dc.titleA stochastic value estimation tool for electric vehicle charging pointsen_US
dc.typeArticleen_US
dc.peerreviewedyesen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0002-3818-1957 & YÖK ID 125199) Çoban, Elvin
dc.contributor.authorID(ORCID 0000-0002-8503-1767 & YÖK ID 280588) Poyrazoğlu, Göktürk
dc.contributor.ozuauthorPoyrazoğlu, Göktürk
dc.contributor.ozuauthorGöktürk, Elvin Çoban
dc.identifier.volume227en_US
dc.identifier.wosWOS:000652610100017
dc.identifier.doi10.1016/j.energy.2021.120335en_US
dc.subject.keywordsStochasticen_US
dc.subject.keywordsSimulationen_US
dc.subject.keywordsElectric vehiclesen_US
dc.subject.keywordsCharging pointen_US
dc.identifier.scopusSCOPUS:2-s2.0-85103554442
dc.relation.publicationcategoryArticle - International Refereed Journal - Institutional Academic Staff


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