This study analyzed the evaluation of wind resource potential available at Mubi and Gwoza North-eastern Nigeria; and Guider and Mokolo far North Cameroon stations, respectively selected in Mandara Mountains covering period of six years (2011 to 2016). At all stations the overall maximum mean annual wind speed of 2.82 m/s was found at Guider in 2015 and the minimum of 2.20 m/s at Gwoza in 2012. The occurrences of annual mean wind speed of 2.82m/s was observed in 2015 at Guider reﬂecting a higher Weibull shape of 10.44 and scale 2.96m/s parameter, respectively. They were respectively observed in 2012 in Gwaza as 2.20m/s, 6.34 and 2.36m/s, while others stations are moderate. The annual Wind Power Density (WPD) potential at all stations varies between 7.15 - 14.25 W/m2 while others are moderate. However, it was observed from this evaluation, that Mandara Mountain is a poor wind power potential site based on the International classification, with the highest value being Guider station. Therefore, the site is applicable for wind energy exploitation in small scale.
Wind Resource, Wind Speed, Weibull Shape, Power Density, Mandara Mountains
- Abdullahi, A., Adisa, A. B. and Dandakuta, H. (2013): An evaluation of wind energy potential in the Northern and Southern region of Nigeria on the basis of Weibull and Rayleigh models. American Journal of Energy Engineering. Vol.1(3).pp.37-42. Doi:10.11648.ajee.20130103.11.
- Ahmed, S. A. (2013): Comparative study of four models for estimating Weibull parameters for Habubja. Iraq. International Journal of Physical Science. Vol.8: 186-192.
- Ajayi, O. O., Fagbenle, R. O., Katunde, J., Samson, A. A., and Okeniyi, J. O. (2013): Wind profile characteristics and turbine performance analysis in Kano North-Westhern Nigeria. Instrumental Journal of Energy and Environmental Engineering. Vol. 3: 27
- Akdag, S. A and Ali, D (2009): A new method to estimate Weibull parameters for wind energy applications. Energy Convers. Manag. 50:1761-1766.
- Akpinar, K. E and Akpinar, S. (2004): Statistical analysis of wind energy potential on the basis of Weibull and Rayleigh distribution for Agin-Elazig, Turkey. Power and Energy. Vol. 218: 557-565.
- ARCOS Network, (2017 ): African mountain: Water towers in need of attention. Society and science of sustainable mountains development. Available at; www.arcosnetwork.org. 2017 ).
- Ayoade, F. A., Akinbulire, O. T. and Awosope, C.O.A. (2012): Wind energy potential in Nigeria. International Electric Engineering Journal ( IEEJ ). Vol. 3(1): 565-601. ISSN:2078-2365.
- Ayush, P. (2016): A statistical analysis of wind speed and power density based on Weibull and Rayleigh models of Jumla, Nepal. Energy and Power Engineering. Vol .8: 271-282.
- Chaudhry, Q. Z. (2007): An investigation on wind power potential of Ghoro-sindh, Pakistan journal of meteorology. Vol. 6(2)
- David, N. (2012): Metals in Mandara Mountains Society and Culture. African World Press. 541 West Ingham Avenue | Suite B Trenton, New Jersey 08638.
- Fisher, N. I. (1993): Statistical analysis of circular data. Cambridge University Press. Pp.277.
- Justus, C. G., & Mikhail, A. (1976). Height variation of wind speed and wind distributions statistics.Geophysical Research Letters,Vol. 3(5): 261–264.
- Kengne, S. E., Oumarou, H. and Nganhou, J. (2016): Modeling of characteristics of wind by Weibull distribution and estimation of wind energy in Douala, Littoral region of Cameroon. International Journal of Innovative, Research in Science, Engineering, and Technology. Vol. 5(5): 6601-6609.
- Keyhani, A., Ghasemi-Varnamkhasti, M., Khanali, M and Abbaszadeh, R. (2010): An assessment of wind energy potential as a power generation sorce in the capital of Iran, Tehran. Energy. Vol.35(1):188-201. https//doi.org/10./1016/j.enery.2009.09.009
- Parvu, D. S. (2013): Experimental modeling of wind form topography and canopy. Electronic thesis at Department of civil and Environmental Engineering. University of Western Ontario, Canada. Available at: http://ir.lib.uwo.ca/etd.
- Scheffel, R. L. and Wernert, S. J. (1980): Reader’s digest natural wonders of the World. Pleasentville, N.Y. ISBN 0895-7708-73
- Tian, W., Ozbay, A. and Hu, H. (2015): Terrain effects on characteristic of surface Swind and wind turbines wakes. 7th International Conference on Fluid Mechanics, ICFM7. Procedia Engineering. Vol. 126: 542-548. Available at www. Sciencedirect.com.
- Tin, O. and Robert, P. (2015): Small wind site assessment guidelines. Technical report. National Renewable Energy Laboratory ( NREL ). Available at www.nrel.gov/publications.
- Weibull, W. (1951): A statistical distribution function of wide applicability. Journal of Applied Mechanics. Vol. 103: 293-29
International Journal of Sciences is Open Access Journal.
This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.
Author(s) retain the copyrights of this article, though, publication rights are with Alkhaer Publications.