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International Journal of Energy and Environmental Engineering

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15-06-2021 | Original Research

Potential of wind energy in Cameroon based on Weibull, normal, and lognormal distribution

Authors: Christian Kenfack-Sadem, Raphaël Tagne, François Beceau Pelap, Gerard Nfor Bawe

Published in: International Journal of Energy and Environmental Engineering | Issue 4/2021

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Abstract

Careful analysis of long-term wind data in a broad area is essential to estimate the wind energy potential of a region. For this purpose, knowledge of wind speed distribution is an essential task. This paper proposes a comprehensive statistical evaluation of monthly, annual, and interannual variabilities of mean wind speeds and wind power densities of 2745 different sites over an area covering the whole of Cameroon. We used wind speed data obtained from ERA-5 for the period 2000–2017. In addition to the popular Weibull probability density function (WPDF), other continuous distributions such as the Normal PDF (NPDF) and the Lognormal PDF (LPDF) were used to investigate their suitability for the description of the wind regimes. We also established the analytical expression of the Normal power density. Three statistical analysis tools were used to determine the goodness of fit of the curves and the parameters of the PDFs were determined by the maximum likelihood method. We found that the theoretical power (TP) and power densities based on WPDF and NPDF are closely related. We observed the highest wind speeds and power densities in a few areas in the Lake Chad Basin and the Gulf of Guinea (GoG) which did not exceed class 2. It is seen that most of the areas studied show relatively low wind speeds and power densities that belong mostly to class 1 during all seasons. These results are useful for sizing wind turbines specific for different locations in Cameroon and making good decisions in terms of budgetary optimization of investments in the energy sector.

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Title: Potential of wind energy in Cameroon based on Weibull, normal, and lognormal distribution
Authors: Christian Kenfack-Sadem
Raphaël Tagne
François Beceau Pelap
Gerard Nfor Bawe
Publication date: 15-06-2021
Publisher: Springer Berlin Heidelberg
Published in: International Journal of Energy and Environmental Engineering / Issue 4/2021
Print ISSN: 2008-9163
Electronic ISSN: 2251-6832
DOI: https://doi.org/10.1007/s40095-021-00402-3

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