How to Use the Temperature Data to Find the Appropriate Site for Best Wind Speed Generation? Applications on Data Obtained from Three Different Cities of Cameroon

In order to prove that temperature data can be used to find the adequate site leading to the best wind energy production, the temperature and wind characteristics are analyzed for three meteorological stations of Cameroon, submitted to different climates: The hot and the cool ones. The data was collected for the period going to 2007 to 2016. Assessment of the wind power potential was carried out using the Weibull distribution parameters, which are evaluated by five numerical techniques: The mean standard deviation method, the moment's method, the energy pattern factor method, the Least squares regression method and the maximum likelihood method (MLM). Results of the study show that the average annual wind speeds at 10 m above ground for Yagoua, Maroua and Bafoussam are 3.1, 3,2 and 1.4 m/s, respectively, leading to the fact that Bafoussam is not suitable for wind energy production at 10 m altitude. Next, we use the data of temperatures for each city and the corresponding wind speed to derive the empirical function governing the dependency of ambient temperature and wind speed, which lead to the fact that temperature data from numerical weather prediction models can replace in-situ wind speed measurements.