Research Article

Evaluation of the Technical Wind Energy Potential of Kisii Region Based on the Weibull and Rayleigh Distribution Models

Table 5

Extrapolated wind power for Kisii subject to Betz limit.

The month of the year20 m30 m50 m70 m
(m/s) (W/m) (m/s) (W/m) (m/s) (W/m) (m/s) (W/m)

January3.4323.684.4148.956.04129.597.45243.01
February3.9435.765.0676.066.94196.128.55367.13
March3.6127.754.6458.786.37151.857.85284.14
April4.4451.375.71109.627.84283.189.66530.52
May4.9370.606.34149.968.70386.8710.73725.54
June5.1580.136.62170.299.09441.2411.19823.08
July5.1881.796.66173.749.14449.0311.26838.80
August5.2786.066.78182.909.30472.9411.46885.17
September4.9972.906.42155.698.82403.6610.86752.81
October4.3548.365.59102.647.68266.259.46497.68
November3.0917.373.9736.745.4595.036.72178.63
December2.8113.023.6727.954.9677.756.12134.79
Average4.2750.735.49107.787.53278.969.28521.78