Assessing the suitability of wind speed probabilty distribution functions based on wind power density

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dc.contributor.authorCelik, AN
dc.date.accessioned2024-09-18T21:01:35Z
dc.date.available2024-09-18T21:01:35Z
dc.date.issued2003
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractThree functions have so far predominantly been used for fitting the measured wind speed probability distribution in a given location over a certain period of time, typically monthly or yearly. In the literature, it is common to fit these functions to compare which one fits the measured distribution best in a particular location. During this comparison process, parameters on which the suitability of the fit is judged are required. The parameters that are mostly used are the mean wind speed or the total wind energy output (primary parameters). It is, however, shown in the present study that one cannot judge the suitability of the functions based on the primary parameters alone. Additional parameters (secondary parameters) that complete the primary parameters are required to have a complete assessment of the fit, such as the discrepancy between the measured and fitted distributions, both for the wind speed and wind energy (that is the standard deviation of wind speed and wind energy distributions). Therefore, the secondary statistical parameters have to be known as well as the primary ones to make a judgement about the suitability of the distribution functions analysed. The primary and secondary parameters are calculated from the 12-month of measured hourly wind speed data and detailed analyses of wind speed distributions are undertaken in the present article. (C) 2003 Elsevier Science Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/S0960-1481(03)00018-1
dc.identifier.endpage1574en_US
dc.identifier.issn0960-1481
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-0037411637en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1563en_US
dc.identifier.urihttps://doi.org/10.1016/S0960-1481(03)00018-1
dc.identifier.urihttps://hdl.handle.net/20.500.12483/12852
dc.identifier.volume28en_US
dc.identifier.wosWOS:000181957800006en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofRenewable Energyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectwind speed probability distributionen_US
dc.subjectWeibull wind speed distribution modelen_US
dc.subjectwind energy estimationen_US
dc.subjectstandard deviation in estimating the wind energyen_US
dc.titleAssessing the suitability of wind speed probabilty distribution functions based on wind power densityen_US
dc.typeArticleen_US

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