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 3

The results of the summary of the values according to a chosen method (EPFM) 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 Weibull parameters ( and ), the average speed (Vm), the wind power density (WPD), and the energy density wind turbine present in the wind (WED) for Ayos, Okok, and Nkolkougda.

LocationsAyosOkokNkolkougda
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)

January3.0992.4042.150304.311106.6302.9972.3482.097289.341101.3853.0532.3792.126297.634104.291
February3.8633.5413.203861.492301.8673.8183.5133.176846.268296.5323.8553.5233.187849.689297.731
March4.4463.8713.5301051.498368.4454.4593.8883.5461063.667372.7094.4593.8683.5281047.438367.022
April4.0483.3913.075739.104258.9824.0713.4223.105757.998265.6024.0713.3983.083742.084260.026
May4.0783.0232.744522.120182.9514.1053.0582.776538.550188.7084.1023.0402.760529.300185.467
June4.3723.8763.5311063.886372.7854.3863.8913.5451074.423376.4784.3853.8873.5411070.910375.247
July4.5354.6974.2881860.113651.7844.5374.6914.2831852.583649.1454.5394.6924.2841854.382649.776
August4.5264.8644.4402067.827724.5664.5304.8544.4312054.590719.9284.5324.8584.4352058.789721.400
September4.4223.9533.6041122.434393.3014.4293.9553.6061123.204393.5714.4313.9603.6111127.367395.029
October3.6012.5612.308338.007118.4373.6432.5792.325343.104120.2243.6662.5932.339347.513121.769
November1.7171.3041.16382.44928.8901.6811.2901.15282.23928.8171.6921.3051.16584.32129.546
December2.7661.8501.647149.01052.2132.6591.8041.604142.02649.7662.7211.8211.620143.64250.332
Annual2.8843.3322.974846.854296.7382.8833.3322.971847.333296.9052.8993.3342.973846.089296.47