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 2

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 Evodoula, Ekol, and Etok.

LocationsEvodoulaEkolEtok
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)

January3.0562.3732.121295.187103.4343.0512.3762.123296.575103.923.0372.3262.078279.05797.781
February3.8603.5093.174838.993293.9833.8373.5263.188853.813299.1763.8583.4403.112790.598277.026
March4.4593.8423.5041026.326359.6254.4533.8793.5381057.380370.5064.4683.7733.442971.206340.311
April4.0743.3783.065728.312255.2004.0613.4063.090748.051262.1174.0913.3253.017693.227242.907
May4.1063.0262.746521.499182.7334.0873.0382.757529.005185.3634.1242.9872.712500.605175.412
June4.3873.8693.5251055.866369.9764.3783.8853.5401070.260375.0194.3953.8093.4711006.663352.735
July4.5404.6684.2621825.382639.6144.5364.6944.2851856.643650.5684.5434.5894.1901734.203607.665
August4.5344.8354.4142030.065711.3354.5294.8594.4362061.322722.2874.5374.7554.3421930.587676.478
September4.4353.9463.5981114.947390.6774.4263.9543.6041122.377393.2814.4413.8873.5441064.554373.020
October3.6842.5902.337345.464121.0513.6232.5682.315339.656119.0153.7222.5672.317334.409117.177
November1.6841.3031.16384.47029.5981.6971.2951.15682.02428.7411.6621.2801.14481.71528.633
December2.7261.8121.612141.33749.5242.7131.8301.628146.20551.2302.7011.7681.572132.24146.337
Annual2.9043.3202.960833.987292.2292.8893.3332.972846.942296.7692.9063.2652.912793.256277.957