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The objective of this study consists to the modeling and prediction of the regime of windin the intention to estimate the potential of wind energy at Douala in Cameroon. The probability densityof windspeed is modeled through an analysis using the Weibull distribution function. The model has been obtained using wind speed data collected from a metrological station at the Airport of Douala. Four methods for calculating the shape and scale parameters of the Weibull wind speed distribution for wind energy analysis are presented: The Maximum likelihood method, the Graphical method, the Empirical method and the proposed Energy pattern factor method. The application of these four methods is effective using a sample wind speed data set. With some statistical analysis, a comparison of the accuracy of each method is also performed. The study helps to determine that Empirical method is the most effective (K= 2.80 and C= 1.97).

international journal of innovative research in science engineering and technology/international journal of innovative research in science, engineering and technology

Modeling of Characteristics of Wind by Weibull Distribution and Estimation of Wind Energy in Douala, Littoral Region of Cameroon