Modeling of wind energy in some areas of Palestine

The daily mean wind speed data for 4 locations in Palestine over a period of 5 years are collected, analyzed, and fitted to the Weibull distribution function. Weibull parameters are derived from the cumulative function of the observed data records (1997–2001), and used to calculate the mean wind speed and variance of the theoretical distribution. A quadratic polynomial is employed to fit the relationship between the wind power and the mean wind speed. The monthly mean wind power density found to be higher during summer and lowers during winter in most locations. However, in Hebron district the winter months have higher values than those for summer. The highest mean power values were 32.98 W m−2 in January and 37.85 W m−2 in July for Hebron and Nablus, respectively. The lowest mean power was 1.66 W m−2 in January for Jericho. The adjusted R2 of the polynomial fit was about 99% for all stations except for Hebron was about 70%.

Highlight
► We model wind power density for four locations in Palestine. Second order polynomial better fits the relation between wind power and wind speed. The adjusted R2 of the polynomial fit is 99.8% for all stations except Hebron 70%. The highest mean power value is 37.85 W m−2 for Nablus. In general wind power density is higher during summer and lowers during winter.