Research Article

Technoeconomic Analysis of a Wind Power Generation System and Wind Resource Mapping Using GIS Tools: The Case of Twelve Locations in the Commune of Evodoula, Cameroon

Table 5

The results of the summary of the values according to a method (EPFM) chosen and a method (MEPFM) proposed at 100 m above ground level (AGL): summary of the values of the parameters linked to the power of the wind, namely, the parameters of Weibull ( and ), the average speed (Vm), the wind power density (WPD), and the wind energy density present in the wind (WED) for Nkotabel, Nkolabang, and Nloudou.

LocationsNkotabelNkolabangNloudou
Mast height100 m
MethodsEPFMMEPFMEPFMMEPFMEPFMMEPFM
Month (-) (m/s)Vm (m/s)WPD (W/m2)WED (MWh/m2) (-) (m/s)Vm (m/s)WPD (W/m2)WED (MWh/m2) (-) (m/s)Vm (m/s)WPD (W/m2)WED (MWh/m2)

January2.9802.2942.048270.85394.9073.0042.2892.044267.57593.7582.9562.2291.989249.69387.492
February3.8153.4303.101788.315276.2263.8473.3973.073762.747267.2663.8223.3283.009719.361252.064
March4.4683.7973.464990.118346.9374.4713.7383.410943.928330.7524.4773.6803.358900.470315.525
April4.0893.3523.042710.342248.9044.1003.2992.994676.335236.9884.1143.2582.958650.420227.907
May4.1223.0052.728509.668178.5884.1332.9682.695490.656171.9264.1492.9342.665472.991165.736
June4.3943.8163.4781012.606354.8174.3993.7753.440979.748343.3044.4053.7203.391937.022328.332
July4.5394.5934.1941739.131609.3924.5444.5454.1501684.485590.2434.5464.4694.0811601.285561.090
August4.5344.7534.3391927.960675.5574.5394.7074.2971871.350655.7214.5424.6294.2271779.878623.669
September4.4383.8813.5391060.178371.4864.4453.8483.5091032.844361.9084.4503.7893.455985.247345.231
October3.6892.5512.302329.958115.6173.7432.5502.303327.025114.5893.7682.5202.276314.402110.166
November1.6541.2621.12878.79527.6101.6581.2701.13579.95328.0161.6431.2431.11276.16426.688
December2.6481.7531.558130.63545.7742.6701.7391.546126.85444.4502.6201.6901.501117.90941.315
Annual2.8873.2642.910795.713278.8182.9053.2332.883770.292269.912.8983.1802.835733.737257.101