The Selection of Renewable Energy Power Plant Technology Using Fuzzy Data Envelopment Analysis

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dc.contributor.authorBaysal, M. Emin
dc.contributor.authorSarucan, Ahmet
dc.contributor.authorKahraman, Cengiz
dc.contributor.authorEngin, Orhan
dc.date.accessioned2020-03-26T18:17:15Z
dc.date.available2020-03-26T18:17:15Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.descriptionWorld Congress on Engineering (WCE 2011) -- JUL 06-08, 2011 -- Imperial Coll, London, UNITED KINGDOMen_US
dc.description.abstractThe efficiency of resource utilization and sustainabfiity are rising values all over the world. Power generation technologies have an important weight in this manner for a sustainable future. Particularly, renewable energy power technologies should take over the non-renewable power generation technologies when considered on environmental issues. However it is too far to substitute renewable onto non-renewable as for now. At this point, there is another issue for choosing the best yet suitable alternative technology. The selection problem is a difficult multi-criteria decision making problem in many fields as well as in the selection of power generation technology. This paper proposed a data envelopment analysis model approach by using triangular fuzzy numbers (TFN) as the solution. Six different technologies were used as the decision making units (DMU). Inputs and outputs variables were selected in general indicators such as economical and technical. It was showed that policy and decision makers could follow this methodology to produce effective solution for energy generation problems.en_US
dc.description.sponsorshipInt Assoc Engineers, IAENG, Soc Artificial Intelligence, IAENG, Soc Bioinformat, IAENG, Soc Computer Sci, IAENG, Soc Data Min, IAENG, Soc Elect Engn, IAENG, Soc Imagl Engn, IAENG, Soc Ind Engn, IAENG, Soc Informat Syst Engn, IAENG, Soc Internet Comput & Web Serv, IAENG, Soc Mech Engn, IAENG, Soc Operat Res, IAENG, Soc Sci Comput, IAENG, Soc Software Engn, IAENG, Soc Wireless Engnen_US
dc.description.sponsorshipSelcuk University Scientific Research Coordination Centre (BAP)en_US
dc.description.sponsorshipThis work was supported by the Selcuk University Scientific Research Coordination Centre (BAP).en_US
dc.identifier.endpage1143en_US
dc.identifier.isbn978-988-19251-4-5
dc.identifier.issn2078-0958en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1140en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27001
dc.identifier.wosWOS:000393012800042en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherINT ASSOC ENGINEERS-IAENGen_US
dc.relation.ispartofWORLD CONGRESS ON ENGINEERING, WCE 2011, VOL IIen_US
dc.relation.ispartofseriesLecture Notes in Engineering and Computer Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectFuzzy data envelopment analysisen_US
dc.subjecteffectivenessen_US
dc.subjectmulti-criteria decision makingen_US
dc.subjectrenewable energyen_US
dc.titleThe Selection of Renewable Energy Power Plant Technology Using Fuzzy Data Envelopment Analysisen_US
dc.typeConference Objecten_US

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