This paper presents the characterization of the distribution of wind speeds across sectors of directions in order to study the variability of wind energy potential on sites in Lomé (Togo), Accra (Ghana) and Cotonou (Benin) in the Gulf of Guinea. To this end, we developed a software application in MATLAB aimed at wind data processing. Each site’s wind speed data collected over a period from January 2000 to December 2012 at a height of 10 m above the ground were divided into eight sectors of direction of 45 degrees each, according to the wind directions measured. Parameters such as K (shape factor) and C (scale factor) of Weibull distributions as well as the skewness and kurtosis coefficients were obtained for each sector. The study analyzes the variations of the statistical parameters computed based on the number of hours during which wind blows in each sector of direction. The results show that the South and South-West sectors are areas of prevailing winds and have higher wind energy potential compared to other sectors in general on the 3 sites considered. The more frequent the wind blows in a sector of direction, the higher the Weibull parameters, while the coefficients of skewness and kurtosis of the distributions of wind speeds show a downward trend for all 3 sites.
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