Analysis of Wind Energy Potential in North East Nigeria
Journal of Energy and Natural Resources
Volume 3, Issue 4, August 2014, Pages: 46-50
Received: Jul. 11, 2014;
Accepted: Jul. 28, 2014;
Published: Aug. 10, 2014
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A. Ahmed, Department of Mechanical Engineering, Kano University of Science and Technology, Wudil, Nigeria
A. A. Bello, Department of Mechanical Engineering, Abubakar Tafawa Balewa University, Bauchi, Nigeria
D. Habou, Department of Mechanical Engineering, Abubakar Tafawa Balewa University, Bauchi, Nigeria
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This research reports wind energy potential evaluation of two locations in the north east Nigeria (Bauchi and Borno). The evaluation is based on Weibull and Rayleigh models using 17 years mean monthly wind speed data covering the period (1990-2006). The result shows that Rayleigh is best fit model that describes the wind speed data at 10 m height. Reference mean power density (based on the measured probability distribution) was compared with those obtained from the Weibull and Rayleigh models. In calculating the percentage error, results shows that Weibull provided better power density estimation in all 12 months than the Rayleigh model. From this research work, it was found that Borno has high wind power density 273.16 W/m2 for Weibull and 365.77 W/m2 for Rayleigh in the month of June as compared Bauchi with highest power density of 31.45 W/m2 for Weibull and 37.06 W/m2 for Rayleigh in the month of May.
Wind Energy Potential, Nigeria, Generation, Weibull, Rayleigh, Probability Density Function
To cite this article
A. A. Bello,
Analysis of Wind Energy Potential in North East Nigeria, Journal of Energy and Natural Resources.
Vol. 3, No. 4,
2014, pp. 46-50.
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