# Estimating Weibull Parameters Using Mabchour's Method (MMab) for Wind Power at RAWA City, Iraq
## 4 Conclusions and Remarks  
Wind energy density is a key element in evaluating the potential of wind energy in any proposed site, and it provides an accurate view of the suitability of the proposed site for wind energy exploitation.  
\begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline \multirow{2}{*}{**Mouth**} & \multicolumn{3}{c}{**H = 10 m**} & \multicolumn{3}{c}{**H = 50 m**} \\ \cline{2-9}  & \(c\) **(m/s)** & \(k\) & \(\mathbf{R^{2}}\) & \(P_{W}\) **(W/m\({}^{2}\))** & \(c\) **(m/s)** & \(k\) & \(\mathbf{R^{2}}\) & \(P_{W}\) **(W/m\({}^{2}\))** \\ \hline Jan. & 4.412 & 1.891 & 0.9923 & 37.2 & 5.518 & 1.89 & 0.9930 & 75.75 \\ \hline Feb. & 3.974 & 2.011 & 0.9863 & 27.2 & 4.96 & 2.013 & 0.9923 & 54.09 \\ \hline Mar. & 4.815 & 1.989 & 0.9940 & 70.85 & 6.025 & 1.991 & 0.9863 & 95.35 \\ \hline Apr. & 4.402 & 2.179 & 0.9901 & 36.3 & 5.503 & 2.178 & 0.9940 & 73.64 \\ \hline May & 4.742 & 2.037 & 0.9609 & 45.2 & 5.93 & 2.036 & 0/9902 & 90.2 \\ \hline Jun. & 5.573 & 3.078 & 0.9239 & 77.2 & 6.964 & 3.077 & 0.9608 & 148.55 \\ \hline Jul. & 6.231 & 3.403 & 0.9906 & 105.9 & 7.791 & 3.401 & 0.9239 & 214.3 \\ \hline Aug. & 5.667 & 2.638 & 0.9884 & 128.2 & 7.078 & 2.619 & 0/9910 & 155.84 \\ \hline Sept. & 4.624 & 2.968 & 0.9917 & 43.82 & 5.786 & 2.972 & 0.9881 & 87.32 \\ \hline Oct. & 3.468 & 2.255 & 0.9903 & 28.2 & 4.335 & 2.254 & 0.9918 & 35.2 \\ \hline Nov. & 3.568 & 2.063 & 0.9937 & 19.2 & 4.458 & 2.062 & 0.9903 & 56.3 \\ \hline Dec. & 4.072 & 2.048 & 0.9937 & 30.2 & 5.091 & 2.046 & 0.9912 & 57.2 \\ \hline \hline \end{tabular}
\end{table}
Table 11: The Weibull parameters by Mabchour’s Method (MMab) for RAWA city at 10 m and 50 m height, 2019.  
Figure 5: Hourly of mean (\(COV\)) of turbulence at 10 and 50 m height.  
This research paper focused on statistical analyses in order to conduct an in-depth investigation of Weibull distribution methods for wind data. Wind data were collected for three years (2017-2019) for four different sites in Iraq in order to determine the optimal site in the first stage of this work. It was found that the RAWA city is the optimal site and can be considered as a promising site. The monthly mean of wind speed was found to be higher in RAWA city compared with other sites that were investigated.  
Additionally, the values of scale factor \(c\) and shape factor \(k\) were computed using [PERSON]'s method (MMab). The results were verified based on the compression between the obtained results with results from a different method to show the most optimal method in terms of the accuracy of the calculations and the minimum time needed to perform the calculation. The results showed that the error is very small to estimate the Weibull factors and [PERSON]'s method can be considered the more efficient approach.  
Further research will study the possibility of establishing new wind farms in several promising sites in Iraq. In addition to studying the details of designing the wind farms, future research will also use more than one method to determine the optimal design of the farm.  
Formal analysis, S.J.A.-S. and O.I.A.; Methodology, A.I.A. and S.J.A.-S.; Software, A.I.A.; Writing--review and editing, O.I.A. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
Not applicable.  
Data Availability Statement: Data is contained within the article.  
The authors declare no conflict of interest.