Wind characteristics and energy potential assessment in Akure, South West Nigeria: econometrics and policy implications

Abstract

This paper analysed 11 years of daily mean wind-speed data, measured at Akure, Ondo State, Nigeria, using Weibull and Rayleigh distribution functions. While both distributions showed good agreements in extreme-value estimation patterns, investigation of their wind-speed characteristics modelling criteria, using goodness-of-fit statistics, revealed that the wind data followed the Weibull more than Rayleigh. Monthly wind-speed of Akure city ranged from 1.41 to 4.24 m/s by the Weibull fittings and from 1.40 to 4.16 m/s by the Rayleigh fittings. Overall results, of 2.71 m/s (Weibull) or 2.70 m/s (Rayleigh) mean wind-speed and 18.51 W/m² (Weibull) or 22.26 W/m² (Rayleigh) mean power density, indicated Akure a low wind-speed site, requiring low wind-speed turbine for generating wind energy. Econometric analyses of power output simulations using such turbine system resulted in affordable wind energy cost. These bear policy implications for sustainable wind energy usage in this and similar regions of the world.

Keywords:

• wind energy potential
• Weibull probabilistic modelling
• Rayleigh probabilistic modelling
• Kolmogorov–Smirnov statistics
• low wind-speed econometric analysis
• Akure – Nigeria

Acknowledgements

Authors acknowledge and appreciate the assistance of the Nigerian Meteorological Agency (NIMET), Abuja, Nigeria for making the data employed in this work available to authors.