Mapping wind power density for Zimbabwe: a suitable Weibull-parameter calculation method

  • Tawanda Hove University of Cape Town
  • Luxmore Madiye
  • Downmore Musademba

Abstract

The two-parameter Weibull probability distribution function is versatile for modelling wind speed frequency distribution and for estimating the energy delivery potential of wind energy systems if its shape and scale parameters, k and c, are correctly determined from wind records. In this study, different methods for determining Weibull k and c from wind speed measurements are reviewed and applied at four sample meteorological stations in Zimbabwe. The appropriateness of each method in modelling the wind data is appraised by its accuracy in predicting the power density using relative deviation and normalised root mean square error. From the methods considered, the graphical method proved to imitate the wind data most closely followed by the standard deviation method. The Rayleigh distribution (k=2 is also generated and compared with the wind speed data. The Weibull parameters were calculated by the graphical method for fourteen stations at which hourly wind speed data was available. These values were then used, with the assistance of appropriate boundary layer models, in the mapping of a wind power density map at 50m hub height for Zimbabwe.

Author Biography

Tawanda Hove, University of Cape Town
Energy Research Centre Snr Research Officer
Published
2017-04-19
Citation Export
Hove, T., Madiye, L., & Musademba, D. (2017, April 19). Mapping wind power density for Zimbabwe: a suitable Weibull-parameter calculation method. Journal of Energy in Southern Africa, 25(4), 37-47. https://doi.org/https://doi.org/10.17159/2413-3051/2014/v25i4a2236