Analyzing wind speed data and wind power density of Tetouan city in Morocco by adjustment to Weibull and Rayleigh distribution functions. Issue 3 (June 2017)

• Record Type: Journal Article
• Authors: Ouahabi, Mohamed Hatim; Benabdelouahab, Farid; Khamlichi, Abdellatif
• Is Part Of: Wind engineering. Volume 41:Issue 3(2017)
• Page Start: 174
• Page End: 184
• Publication Date: 2017-06
• Subjects: Wind characteristics -- wind power density -- Weibull distribution function -- Rayleigh distribution function -- statistical analysis -- wind rose; Wind-pressure -- Periodicals; Winds -- Periodicals; Wind power -- Periodicals; Engineering meteorology -- Periodicals; Pression du vent; Vents; Énergie éolienne; Météorologie appliquée; Engineering meteorology; Wind power; Wind-pressure; Winds; Periodicals; 621.4505
• DOI: 10.1177/0309524X17709908
• Languages: English
• ISSNs: 0309-524X

Abstract

Several statistical distributions have been considered to model wind speed data. However, Weibull and Rayleigh statistical distributions are the most widely used methods for analyzing wind speed measurements and determining wind energy potential. In this work, these statistical distributions were applied in order to evaluate the wind resources in the northern Moroccan city of Tetouan. Adjustment of wind measurement data was performed. Then, the obtained results were compared with the provided wind data to test their accuracy based on common statistical indicators for performance. It was found that the Weibull and Rayleigh distribution models provide adequate description of the frequencies of actual wind records in Tetouan. They can be advantageously used to assess wind resource characteristics in this region.