This report investigates wind energy potential in Kuwait by analyzing wind-related variables from Abdaly, KIA, and Al-Wefar. The study uses Weibull distribution to determine wind power density, finding ranges between 70 W/m2 and 179 W/m2 at 10 meters and 160 W/m2 and 293 W/m2 at 70 meters. The research also incorporates power law extrapolation to estimate wind data at various heights and employs artificial neural networks and genetic algorithms for short-term wind power density forecasting. The report correlates wind power potential with electricity demand, noting peak potential during the summer, and concludes with an assessment of suitable locations for wind power generation based on the prediction model's accuracy. Desklib provides access to similar reports and solved assignments for students.
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