Comparative study of offshore wind energy potential assessment using different Weibull parameters estimation methods

Wind energy is the second largest source of renewable energy, across the world. For designing and construction of wind farms, most critical information is consistent wind resource assessment forecasts and appropriate models of wind speed distribution for a particular site. The purpose of this study is to provide the wind characteristics and wind potential evaluation of offshore locations, in Gujarat in India, using the wind Weibull density function. The Weibull shape k and scale c parameters are computed using six distinct numerical approaches at two different heights, to determine wind power density. The LiDAR sensor was used to capture the time series wind data. The goodness of fit test, which includes the RMSE, R-2, MAPE, and chi(2) is considered to evaluate the performance of the selected methods. Wind power densities are calculated from the acquired results with the help of estimated parameter values, all the methods used in this study were found to be appropriate for Weibull distribution parameters estimation. The MLM has been determined to offer the most accurate evaluation of wind potential. The WPD computed from observed wind data was compared to the obtained power densities of the specified region. The evaluated data is a considered as preliminary characteristic of wind potential that aids in the wind energy conversion and determining the actual wind potential of a specific site.