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Applying fuzzy set theory to evaluate and select potential sites for wind turbine installations

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dc.contributor.author Skikos, GD en
dc.date.accessioned 2014-03-01T01:42:31Z
dc.date.available 2014-03-01T01:42:31Z
dc.date.issued 1994 en
dc.identifier.issn 0309524X en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/23864
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-0028722360&partnerID=40&md5=0d6db6b802fd4baabca7cfbd2090d1c9 en
dc.subject.other Aerodynamics en
dc.subject.other Algorithms en
dc.subject.other Decision making en
dc.subject.other Installation en
dc.subject.other Site selection en
dc.subject.other Speed en
dc.subject.other Wind en
dc.subject.other Wind power en
dc.subject.other Wind turbines en
dc.subject.other Fuzzy decision algorithms en
dc.subject.other Fuzzy site index en
dc.subject.other Mean terrain roughness length en
dc.subject.other Wind direction frequency en
dc.subject.other Wind power density en
dc.subject.other Wind sites en
dc.subject.other Wind speed en
dc.subject.other Fuzzy sets en
dc.title Applying fuzzy set theory to evaluate and select potential sites for wind turbine installations en
heal.type journalArticle en
heal.publicationDate 1994 en
heal.abstract The aim of this paper is to present an innovative fuzzy set decision process for the evaluation and selection of potential wind sites, where wind turbines are due to be installed in the future. The proposed methodology makes use of the fuzzy set theory and its application to decision making. The sets of information such as the mean wind speed, the mean terrain roughness length, the wind direction frequency and the wind power density of a specific site are fuzzified with the aid of appropriate fuzzy membership functions and combined through a fuzzy decision algorithm, known as the Yager-Saaty scheme, in order to yield the Fuzzy Site Index (FSI). This index is applied to evaluate the candidate wind sites and to select the best among them for feasible wind turbine installation. An explicit numerical example, which illustrates the effectiveness of the proposed procedure, is presented as well, using the wind data of 25 selected sites on the Greek Island of Kythnos. en
heal.publisher Multi-Science Publishing Co, Ltd, Brentwood, United Kingdom en
heal.journalName Wind Engineering en
dc.identifier.volume 18 en
dc.identifier.issue 6 en
dc.identifier.spage 283 en
dc.identifier.epage 295 en


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