Multi-criteria decision making for 1.5 MW wind turbine selection

dc.contributor.authorSagbansua, Lutfu
dc.contributor.authorBalo, Figen
dc.date.accessioned2026-08-12T16:41:06Z
dc.date.issued2017
dc.departmentFırat Üniversitesi
dc.description8th International Conference on Advances in Information Technology (IAIT) -- DEC 19-22, 2016 -- Macau, PEOPLES R CHINA
dc.description.abstractClimate change and global warming have increased the awareness of mankind in protecting the world. Wind energy is a favorable alternative to conventional fuels for providing clean and cheap energy. For efficient design of wind station project, the best wind turbine selection plays a noteworthy role in the all life cycle. In this paper, AHP method is utilized on the decision of selection for the best wind turbine among turbine brands for 1.5 MW. The selection of the best turbine from several of different turbine brands is complicated task since a few decision criteria need to be noted simultaneously. In this study, the selected turbines are investigated in detail. Based on the experts' opinions, the obtained results by this way are evaluated from technical, economic, environmental and customer attributes by AHP. (C) 2015 The Authors. Published by Elsevier B. V.
dc.identifier.doi10.1016/j.procs.2017.06.042
dc.identifier.endpage419
dc.identifier.issn1877-0509
dc.identifier.orcid0000-0001-5886-730X
dc.identifier.scopus2-s2.0-85029395672
dc.identifier.scopusqualityQ2
dc.identifier.startpage413
dc.identifier.urihttps://doi.org/10.1016/j.procs.2017.06.042
dc.identifier.urihttps://hdl.handle.net/11508/45684
dc.identifier.volume111
dc.identifier.wosWOS:000418465800056
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Bv
dc.relation.ispartof8Th International Conference on Advances in Information Technology
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260511
dc.subjectRenewable energy
dc.subjectAnalytic Hierarchy Process
dc.subjectMulti-criteria evaluation
dc.subjectWind energy
dc.titleMulti-criteria decision making for 1.5 MW wind turbine selection
dc.typeConference Object

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