Wind characteristics and energy potential assessment in Akure,South West Nigeria: econometrics and policy implications |
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| Authors: | Joshua Olusegun Okeniyi Ime Friday Moses Elizabeth Toyin Okeniyi |
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| Affiliation: | 1. Department of Mechanical Engineering, Covenant University, Ota, Nigeriajoshua.okeniyi@covenantuniversity.edu.ng;3. Department of Physics, Federal University of Technology, Akure, Nigeria;4. Nigeria Atomic Energy Commission, Abuja, Nigeria;5. Department of Petroleum Engineering, Covenant University, Ota, Nigeria |
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| 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. |
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| Keywords: | wind energy potential Weibull probabilistic modelling Rayleigh probabilistic modelling Kolmogorov–Smirnov statistics low wind-speed econometric analysis Akure – Nigeria |
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