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Assessment of Wind Energy Potential for the Generation of Power in Coastal and Sahel Savannah Locations in Nigeria
Journal of Energy, Environmental & Chemical Engineering
Volume 4, Issue 4, December 2019, Pages: 54-60
Received: Oct. 12, 2019; Accepted: Nov. 12, 2019; Published: Dec. 4, 2019
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Ogolo Emmanuel Omonigho, The Federal University of Technology, Department of Physics, Akure, Nigeria
Ojo Olusola Samuel, The Federal University of Technology, Department of Physics, Akure, Nigeria
Apata John Olu, The Federal University of Technology, Department of Physics, Akure, Nigeria
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This study examines the wind power potential for different pressure heights in some Coastal and Sahel savannah stations in Nigeria. A 5-year hourly mean wind speed data at different heights and also at the hour of 00:00 and 12:00 were obtained from ERA Interim reanalysed data set. The data were statistically analyzed using Weibull distribution function. It was found out that Ikeja and Katsina stations have the maximum wind power density of 174.69 W/m2 and 196.88 W/m2 for both Coastal and Sahel savannah regions respectively at 100 m height and also at 12:00 hour of the day when there is occurrence of intensive wind speed as observed in the stations considered. Therefore, the analysis demonstrates the economic feasibility of using wind energy as a means of electricity supply at Ikeja in Coastal region and Katsina in Sahel savannah region of Nigeria. Thus, the wind power potential in these areas should be adequately harnessed which could be used to compliment the present power supply and reduce carbon dioxide emissions which contribute to global warming and lower long-term overdependence on fossil fuels in those areas and in Nigeria at large.
Global Warming, Wind Power, Weibull, Potential ERA-Interim, Nigeria
To cite this article
Ogolo Emmanuel Omonigho, Ojo Olusola Samuel, Apata John Olu, Assessment of Wind Energy Potential for the Generation of Power in Coastal and Sahel Savannah Locations in Nigeria, Journal of Energy, Environmental & Chemical Engineering. Vol. 4, No. 4, 2019, pp. 54-60. doi: 10.11648/j.jeece.20190404.12
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