Volume 9 Issue 1 ( March 2022 )

The main objective of this research is to evaluate the potential of wind energy in the northern city of Jordan, Ajloun by utilizing the two parameters Weibull distribution function in order to provide an insight concerning the energy that can be produced from the selected site. The shape parameter k and the scale parameter c were determined in order to assess the wind potential and its annual frequencies. Significant findings included a wind speed recurrence between 3 and 4 m/s with a probability of 31%. The maximum values of k and c were found to be 1.926 and 6.072 in 2014, respectively. Results also showed that the averaged shape and scale parameters were 1.586 and 4.073, respectively, which indicates that the spread in wind speed is small and the wind potential becomes higher over the years. Outcomes of the study also indicated that June has the maximum wind power density while November has the lowest. According to the international standards of wind power generation classification, Ajloun city has poor wind resources but is still a suitable area for small-scale power generation.

Keywords: Wind assessment; Weibull Distribution; Ajloun; wind energy