A statistical analysis of wind speed data using Burr, generalized gamma, and Weibull distributions in Antakya, Turkey

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dc.contributor.authorMert, İlker
dc.contributor.authorKarakuş, Cuma
dc.date.accessioned2019-07-16T16:00:29Z
dc.date.available2019-07-16T16:00:29Z
dc.date.issued2015
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractThe wind energy potential of the Antakya area was statistically analyzed based 8 years of wind data sets (2002–2009). The 4-parameter Burr, 3-parameter generalized gamma, and conventional Weibull distributions were regarded as suitable statistical models for describing wind speed profiles. The suitability of the models was tested by R 2 , RMSE, chi-squared, and Kolmogorov–Smirnov analysis. According to goodness-of-fit tests, the Burr distribution was found to be more suitable than the generalized gamma or Weibull distributions for representing the actual probability of wind speed data for Antakya. Based on the capacity factors estimated by the Burr model at a hub height, the power generation potential of a commercial 330-kW wind turbine was also determined. The results show that the available wind energy potential to generate electricity in Antakya is low; consequently, wind power would be suitable only for stand-alone electrical and mechanical applications, such as water pumps, battery charging units, and local consumption in off-grid areas.en_US
dc.description.abstractThe wind energy potential of the Antakya area was statistically analyzed based 8 years of wind data sets (2002–2009). The 4-parameter Burr, 3-parameter generalized gamma, and conventional Weibull distributions were regarded as suitable statistical models for describing wind speed profiles. The suitability of the models was tested by R 2 , RMSE, chi-squared, and Kolmogorov–Smirnov analysis. According to goodness-of-fit tests, the Burr distribution was found to be more suitable than the generalized gamma or Weibull distributions for representing the actual probability of wind speed data for Antakya. Based on the capacity factors estimated by the Burr model at a hub height, the power generation potential of a commercial 330-kW wind turbine was also determined. The results show that the available wind energy potential to generate electricity in Antakya is low; consequently, wind power would be suitable only for stand-alone electrical and mechanical applications, such as water pumps, battery charging units, and local consumption in off-grid areas.en_US
dc.identifier.endpage1586en_US
dc.identifier.issn1300-0632
dc.identifier.issue6en_US
dc.identifier.startpage1571en_US
dc.identifier.urihttps://trdizin.gov.tr/publication/paper/detail/TVRnd09UVTBOQT09
dc.identifier.urihttps://hdl.handle.net/20.500.12483/2356
dc.identifier.volume23en_US
dc.identifier.wosWOS:000365508200006en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofTurkish Journal of Electrical Engineering and Computer Sciencesen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US]
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMühendisliken_US
dc.subjectElektrik ve Elektroniken_US
dc.titleA statistical analysis of wind speed data using Burr, generalized gamma, and Weibull distributions in Antakya, Turkeyen_US
dc.typeArticleen_US

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