Modelling of Wind Speed Data using Weibull Distribution Function in Dewas

Abstract

An efficient and clean way to produce electricity is through the wind turbines. In-depth wind profile study and accurate wind energy forecasting are necessary for the enlargement of wind power applications. This work studies the wind speed probability distribution in order to evaluate the two Weibull parameters (size and shape), which are often utilised for modelling and providing a precise and effective estimation of wind resource and power. The shape and scale parameters are computed using daily/mean wind speed measurements of Dewas, Madhya Pradesh, from 2010 to 2020. The meteorological data of wind speed for the considered side has been taken from data access viewer. The current research is done for two hub heights 50 and 70 meters. According to the analysis, for the hub heights taken into consideration, the most likely wind speeds are 11.19 m/s and 8.43 m/s, respectively, while the wind speeds for maximum energy are 21.83 m/s and 20.62 m/s.