# Estimating Weibull Parameters Using Mabchour's Method (MMab) for Wind Power at RAWA City, Iraq
## 3 Results and Discussions
The monthly errors in the estimation of energy density were checked using Weibull and adjusted by Mabchour's Method (MMab). The results proved that the most efficient and accurate method for estimating Weibull parameters on site is Mabchour's Method (MMab), as shown in Table 12. It can be seen that the maximum error does not exceed 5% for all cases during the whole research period. \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multirow{2}{*}{**Month**} & \multicolumn{4}{c}{**H = 10 m**} & \multicolumn{4}{c}{**H = 50 m**} \\ \cline{2-9}  & \(\boldsymbol{c}\) **(m/s)** & \(\boldsymbol{k}\) & \(\boldsymbol{R^{2}}\) & \(\boldsymbol{Pw}\) **(W/m2)** & \(\boldsymbol{c}\) **(m/s)** & \(\boldsymbol{k}\) & \(\boldsymbol{R^{2}}\) & \(\boldsymbol{P_{W}}\) **(W/m2)** \\ \hline Jan. & 4.185 & 2.249 & 0.9868 & 31.8 & 5.233 & 2.248 & 0.9869 & 62.3 \\ \hline Feb. & 3.406 & 2.005 & 0.9876 & 17.85 & 4.258 & 2.004 & 0.9876 & 34.5 \\ \hline Mar. & 5.003 & 2.426 & 0.9852 & 54.6 & 6.255 & 2.425 & 0.9853 & 105.2 \\ \hline Apr. & 3.799 & 1.863 & 0.9853 & 23.1 & 4.749 & 1.862 & 0.9853 & 46.2 \\ \hline May & 4.38 & 2.265 & 0.9919 & 37.1 & 5.476 & 2.263 & 0.9919 & 72.3 \\ \hline Jun. & 6.018 & 2.404 & 0.9740 & 95.1 & 7.524 & 2.402 & 0.9740 & 182.2 \\ \hline Jul. & 6.854 & 4.307 & 0.9950 & 155.2 & 8.571 & 4.307 & 0.9951 & 305 \\ \hline Aug. & 6.163 & 3.889 & 0.9732 & 110.3 & 7.706 & 3.887 & 0.9732 & 215.3 \\ \hline Sept. & 4.27 & 2.307 & 0.9768 & 33.2 & 5.336 & 2.306 & 0.9768 & 66.3 \\ \hline Oct. & 5.386 & 2.098 & 0.9689 & 66.2 & 6.733 & 2.096 & 0.9690 & 126.35 \\ \hline Nov. & 3.261 & 1.576 & 0.9917 & 26.1 & 4.062 & 1.58 & 0.9919 & 30.85 \\ \hline Dec. & 3.907 & 2.26 & 0.9971 & 55.7 & 4.888 & 2.259 & 0.9971 & 51.52 \\ \hline \hline \end{tabular}
\end{table} 
Table 10: The Weibull parameters by Mabchour’s Method (MMab) for RAWA city at 10 m and 50 m height, 2018. \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline \multirow{2}{*}{**Month**} & \multicolumn{4}{c}{**H = 10 m**} & \multicolumn{4}{c}{**H = 50 m**} \\ \cline{2-9}  & \(\boldsymbol{c}\) **(m/s)** & \(\boldsymbol{k}\) & \(\boldsymbol{R^{2}}\) & \(\boldsymbol{P_{W}}\) **(W/m2)** & \(\boldsymbol{c}\) **(m/s)** & \(\boldsymbol{k}\) & \(\boldsymbol{R^{2}}\) & \(\boldsymbol{P_{W}}\) **(W/m2)** \\ \hline Jan. & 3.396 & 1.7004 & 0.9837 & 18.1 & 4.332 & 2.115 & 0.9837 & 35.05 \\ \hline Feb. & 3.524 & 1.895 & 0.9892 & 19.1 & 4.399 & 1.896 & 0.9890 & 27.1 \\ \hline Mar. & 4.091 & 2.241 & 0.9890 & 29.2 & 5.319 & 2.332 & 0.9883 & 58.25 \\ \hline Apr. & 4.343 & 1.944 & 0.9853 & 35.3 & 5.429 & 1.944 & 0.9853 & 14.05 \\ \hline May & 5.253 & 2.694 & 0.9883 & 64.5 & 6.566 & 2.694 & 0.9883 & 123.8 \\ \hline Jun. & 5.673 & 3.365 & 0.9903 & 84.6 & 7.092 & 3.365 & 0.9903 & 160.8 \\ \hline Jul. & 6.179 & 4.155 & 0.9834 & 113.2 & 7.723 & 4.155 & 0.9834 & 222.2 \\ \hline Aug. & 5.075 & 3.732 & 0.9903 & 60.2 & 6.344 & 3.732 & 0.9903 & 118.8 \\ \hline Sept. & 4.281 & 2.254 & 0.9920 & 34.8 & 5.351 & 2.254 & 0.9920 & 67.2 \\ \hline Oct. & 4.09 & 2.434 & 0.9852 & 29.8 & 5.113 & 2.434 & 0.9852 & 58.2 \\ \hline Nov. & 3.434 & 1.81 & 0.9721 & 17.2 & 4.292 & 1.81 & 0.9721 & 34.3 \\ \hline Dec. & 3.92 & 2.075 & 0.9875 & 26.3 & 4.9 & 2.075 & 0.9875 & 51.2 \\ \hline \hline \end{tabular}
\end{table} 
Table 9: The Weibull parameters by Mabchour’s Method (MMab), \(R^{2}\), \(Pw\) for RAWA city at 10 m and 50 m height, 2017.