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dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorUlutas, Alptekin
dc.contributor.authorBalo, Figen
dc.contributor.authorStanujkic, Dragisa
dc.contributor.authorKarabasevic, Darjan
dc.date.accessioned2023-09-18T16:19:36Z
dc.date.available2023-09-18T16:19:36Z
dc.date.issued2022
dc.identifier.issn0424-267X
dc.identifier.other(WOS_ID)000819597400002
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/113211
dc.description.abstractAs governments seek renewable and more sustainable energy resources, wind energy has emerged as one of the most rapidly developing renewable power resources. The relevance of wind energy turbines has grown as more nations turn to renewable energy. A significant criterion that conduces to wind energy’s efficient production is the proper wind turbine’s utilize. Due to the fact that a lot of wind turbine manufacturers have built a global presence, it is critical for project administrators to do informed selections about which wind energy turbines to establish in every specific design. Therefore the problem of wind energy turbine choice is critical for nations experiencing global warming and climate change. This study proposes a new hybrid MCDM model including CCSD and MULTIMOOSRAL methods. In this study, 11 100kW wind turbines (T) are evaluated based on 14 criteria. According to the results of the proposed model, T7 coded wind turbine alternative was determined as the best one. The results of the proposed method were compared with other MCDM methods and it was confirmed that the proposed method reached accurate results. In addition, it was determined that the changes in the criteria weights changed the ranking of the alternatives.eng
dc.formatPDF
dc.format.extentp. 21-36
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.titlePerformance analysis for the most convenient wind turbine selection in wind energy facility
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references25
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionSivas Cumhuriyet University
dc.contributor.institutionFırat University
dc.contributor.institutionUniversity of Belgrade
dc.contributor.institutionUniversity Business Academy in Novi Sad
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.subject.researchfieldT 002 - Statybos inžinerija / Construction and engineering
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.vgtuprioritizedfieldsSD0404 - Statinių skaitmeninis modeliavimas ir tvarus gyvavimo ciklas / BIM and Sustainable lifecycle of the structures
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enrenewable energy
dc.subject.enwind turbine
dc.subject.enCCSD
dc.subject.enMULTIMOOSRA
dcterms.sourcetitleEconomic computation and economic cybernetics studies and research
dc.description.issueiss. 2
dc.description.volumevol. 56
dc.publisher.nameAcademy of Economic Studies
dc.publisher.cityBucharest
dc.identifier.doi000819597400002
dc.identifier.doi138168917
dc.identifier.doi10.24818/18423264/56.2.22.02
dc.identifier.elaba135835002


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