A Statistical Analysis of Wind Power Density Based on the Weibull and Rayleigh Models at Six Regions of Algeria

R. Maouedj(1*), B. Benyoucef(2)

(1) Tlemcen University, Unit of Research on Materials and Renewable Energies, Algeria
(2) Tlemcen University, Director of the Unit of Research on Materials and Renewable Energies, University of Tlemcen, Faculty of Science, Department of Physics, Algeria
(*) Corresponding author


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Abstract


In this study, two methods (Weibull and Rayleigh distributions functions) are presented and used to evaluate the wind speed characteristics and the wind power potential in six locations (Algiers, Oran, Tlemcen, Djelfa, Adrar and Ghardaia) in deferent regions of Algeria. These sites were selected because of the variety which represents the curves of distribution (difference of the shape and scale parameters) and in more difference of the sites characteristics (Elevation, monthly air temperature and monthly wind speed). Wind data collected at 10m of height above ground, were extrapolated to 30 and 50m, using power law.
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Keywords


Wind Speed; Wind Energy; Weibull Parameters; Wind Generators; Capacity Factor

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