Altmimi, Amani I.Amani I.AltmimiAl-Swaiedi, Safaa J.Safaa J.Al-SwaiediAbdullah, Oday IbraheemOday IbraheemAbdullah2022-02-152022-02-152022-01-22Applied System Innovation 5 (1): 14 (2022)http://hdl.handle.net/11420/11703Wind power is one of the most important sources of renewable energy. In this research paper, we developed an approach to select the optimum site among four different locations in Iraq (Talafar, Nasiriyah, Baghdad and RAWA) according to wind power density. Based on the optimization process, it was found that the RAWA city is the optimal site. We adopted Mabchour&rsquo;s Method (MMab) to estimate the Weibull distribution parameters (<i>c, k</i>) for RAWA city at two heights (10 m and 50 m) for the period (2017&ndash;2019). It was found that the Mabchour technique (MMab) produced accurate results with minimum consumed time and effort. This was because the values of <i>k</i> and <i>c</i> were close to each other. Additionally, the coefficient values of the results of the Weibull measurements were very close to the average wind speeds that we measured. The values of the correlation coefficients between the Weibull scale parameters and the form were calculated and were equal to <i>R²</i> = 0.9971. The minimum value of the coefficient of variation (COV) for turbulence intensity was found to be 26% in July 2018, when the wind speeds reached their maximum. The highest error of wind power density between measured data (<i>P_M</i>) and Weibull distribution (<i>P_W</i>) was found to be 4.48%, at a height of 50 m.Wind power is one of the most important sources of renewable energy. In this research paper, we developed an approach to select the optimum site among four different locations in Iraq (Talafar, Nasiriyah, Baghdad and RAWA) according to wind power density. Based on the optimization process, it was found that the RAWA city is the optimal site. We adopted Mabchour’s Method (MMab) to estimate the Weibull distribution parameters (c, k) for RAWA city at two heights (10 m and 50 m) for the period (2017–2019). It was found that the Mabchour technique (MMab) produced accurate results with minimum consumed time and effort. This was because the values of <i>k</i> and <i>c</i> were close to each other. Additionally, the coefficient values of the results of the Weibull measurements were very close to the average wind speeds that we measured. The values of the correlation coefficients between the Weibull scale parameters and the form were calculated and were equal to R2 = 0.9971. The minimum value of the coefficient of variation (COV) for turbulence intensity was found to be 26% in July 2018, when the wind speeds reached their maximum. The highest error of wind power density between measured data (PM) and Weibull distribution (PW) was found to be 4.48%, at a height of 50 m.en2571-557720221Multidisciplinary Digital Publishing Institutehttps://creativecommons.org/licenses/by/4.0/wind energywind power densityWeibull distributionMabchour’s Method (MMab)TechnikIngenieurwissenschaftenJournal Article2022-02-1110.15480/882.415710.3390/asi501001410.15480/882.4157Journal Article