Application of Weibull distribution for micro-wind turbine prediction: A case study on wind energy potential in Jaisalmer district at 10m height

Research on renewable resources has become essential in light of the sharp rise in energy consumption and the demand for sustainable solutions. The Weibull distribution is used in this study to evaluate the wind energy potential at a height of 10m in the Jaisalmer region of Rajasthan. Predicting wind power density (WPD) and determining the top micro-wind turbines (MWTs) in the area are the goals of the study. Weibull characteristics, such as shape and scale variables, were computed by analyzing monthly wind speed data from the NASA POWER database covering the years 1984–2023. The process comprises choosing MWT models according to their requirements after figuring out the probability density function and wind power density. With a projected WPD of 50.589W/m2, representing Class 1 wind resource potential appropriate for small-scale wind energy applications, the results support sustainable development goals by emphasizing the potential for localized wind energy solutions in the area. The study lays the groundwork for increased use of renewable energy in rural and semi-urban areas.