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 4

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 Ntouda, Ngobo, and Nkolmeyos II.

LocationsNtoudaNgoboNkolmeyos II
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)

January2.9252.2582.014261.15391.5082.9522.2782.033266.70893.4542.9332.2241.984249.07787.277
February3.7803.4063.077775.280271.6583.7883.4283.098789.605276.6773.8033.3363.015726.204254.462
March4.4673.8003.466992.237347.6804.4693.8163.4811004.974352.1434.4773.7063.381919.764322.285
April4.0953.3623.051716.198250.9564.0913.3733.061723.717253.5914.1103.2822.980665.585233.221
May4.1303.0072.730510.440178.8584.1243.0162.739515.626180.6754.1462.9522.681481.848168.840
June4.3933.8083.4701006.157352.5574.3913.8253.4851020.063357.4304.4003.7353.404949.115332.570
July4.5384.5774.1791721.005603.0404.5404.5974.1971743.825611.0364.5454.4884.0981621.600568.209
August4.5354.7314.3201901.601666.3214.5334.7584.3441934.946678.0054.5394.6444.2401797.711629.918
September4.4373.8633.5221045.648366.3954.4373.8823.5401061.418371.9214.4483.7983.464992.740347.856
October3.6902.5362.289324.243113.6153.6782.5442.295327.751114.8443.7432.5152.271313.747109.937
November1.6411.2471.11576.90126.9461.6491.2551.12277.84827.2781.6351.2381.10875.66326.512
December2.5891.7311.538127.94944.8332.6121.7461.551130.27645.6492.5921.6911.502119.03941.711
Annual2.8753.2512.898788.235276.1972.8773.2672.912799.730280.2252.8843.1892.844742.674260.233