Wind Power Potential Assessment Using Reanalysis Data—Case Study of Indian Offshore Site

The offshore wind industry is expanding quickly as a result of technological developments and falling prices. The most crucial information for constructing wind farms is having reliable predictions about the wind resources at a particular location and using appropriate models to estimate the distribution of wind speeds at that site. This research proposes a strategy estimating India’s offshore wind resource using reanalysis data. The wind characteristics are estimated using the Weibull probability distribution, and the distribution shape (k) and scale (A) parameters are derived using three different numerical approaches at a height of 50 m to determine the wind power density using the MERRA-2 data of 22 years. The goodness of fit test, RMSE, and R2 are used to evaluate the performance of all three selected methods. The findings show that all approaches utilized for parameter estimate are appropriate. But when it comes to determining wind potential, the Maximum Likelihood Method (MLM) stands out as the most precise. The analyzed data offers useful early information on the wind potential, which is crucial for converting wind energy and figuring out whether or not wind energy generation is indeed feasible at a certain location.