Wind Speed Data Analysis Using Weibull and Rayleigh Distribution Functions, Case Study: Five Cities Northern Morocco

Abstract The aim of the present paper is to evaluate and discuss the Energy wind potential of five major cities in Northern Morocco. The theoretical analysis is based on stochastic models of Weibull and Rayleigh using Probability Density Function approach. Various statistical indicators such as the determination coefficient (R²), Chi square error (χ²), root mean square error (RMSE) and mean bias error (MBE) are considered. Then, a numerical simulation of the potential electrical power is carried out using the Enercon E103/2350 wind turbine model. The results show that Weibull is more accurate than Rayleigh, especially for Tetuan and Al-Hoceima cities. Concerning electrical energy production, only the sites of Tetouan and Tangier gave interesting values.