Comparative characterization study of the variability of wind energy potential by wind direction sectors for three coastal sites in Lomé, Accra and Cotonou

  • Ayite Senah Akoda Ajavon University of Lome
  • Akim A. Salami University of Lome
  • Mawugno K. Kodjo University of Lome
  • Koffi-Sa Bédja University of Lome

Abstract

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

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Published
2015-07-15
How to Cite
AJAVON, Ayite Senah Akoda et al. Comparative characterization study of the variability of wind energy potential by wind direction sectors for three coastal sites in Lomé, Accra and Cotonou. Journal of Power Technologies, [S.l.], v. 95, n. 2, p. 134--142, july 2015. ISSN 2083-4195. Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/701>. Date accessed: 27 sep. 2021.
Section
Renewable and Sustainable Energy

Keywords

Wind energy potential, Weibull Distribution, Compass rose, Modeling

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