Exploring Wind Energy Potential as a Driver of Sustainable Development in the Southern Coasts of Iran: The Importance of Wind Speed Statistical Distribution Model

Wind energy as a clean and inexhaustible source of renewable can be key element sustainable development that decreases dependence countries on fossil fuels. Therefore, implementing accurate comprehensive feasibility studies in with high level consumption traditional resources is vital; an approach encouraged supported by green funds climate change action. It also crucial to helping spur economic growth these countries. In this regard, study aims at evaluation onshore wind potential seven coastal cities the south Iran. Six Probability Distribution Functions (PDFs) were examined over representative stations. was deduced Weibull function, which most used PDF similar studies, only applicable one station. Here, Gamma distribution offered best fit for three stations other ones, Generalized Extreme Value (GEV) performed better. Considering ranking six PDFs simplicity Gamma, it identified effective function southern coasts Iran bearing mind geographic Moreover, converter power curve functions contributed investigating capacity factor. found that, using could cause under- or over-estimation. Then, classified based National Renewable Energy Laboratory system. Last but not least, examining range converters enabled scholars extend into practice prioritize considering budget limits.