Assessment of Wind Resource and Its Energy Potential in Three States of Northwest Nigeria

Akpaneno A. Francis *

Department of Physics, Federal University Dutsinma, Katsina, Nigeria.

Idris Aminu Usman

Department of Physics, Federal University Dutsinma, Katsina, Nigeria.

*Author to whom correspondence should be addressed.


The growing need for clean energy to address the environmental issues caused by the usage of fossil fuels results to the need for Nigeria to develop an alternative energy from untapped wind which is in abundance in the region. The aim of this study is to evaluate wind power potential and wind energy resources of three locations (Kaduna, Kano and Katsina) of northwestern part of Nigeria. The Nigerian Meteorological agency (NIMET) provided the wind speed data spanning 25 years (1996-2020). In the analysis, Weibull two-parameter statistical model was used. The distribution of wind speed across Nigeria demonstrates that some areas in the North are equipped to generate wind. Microsoft excel was used in analyzing the wind speed data obtained. In addition, evaluation of the region’s wind energy resources shows that Kano recorded the highest potential, with WPD of 443.03 Wm-2 at 10m AGL with annual WED of 4.921 kWhm-2day-1 while Kaduna recorded the lowest potential of 198.43 Wm-2 with annual WED of 2.093 kWhm-2day-1. As a result, Kaduna is found to be ideal for small scale wind power generation, while Kano and Katsina may be suitable for large scale wind power generation.

Keywords: Nigeria, weibull, wind speed, wind power, wind energy

How to Cite

Francis , A. A., & Usman , I. A. (2024). Assessment of Wind Resource and Its Energy Potential in Three States of Northwest Nigeria. Asian Journal of Research and Reviews in Physics, 8(2), 12–20.


Download data is not yet available.


Madu KE. Weibull and cauchy distribution analyses of wind parameters in eastern Part of Anambra State, Nigeria. Journal of Industrial Technology. 2018;3(1):23-32.

Alsaad MK. Wind energy potential in selected areas in Jordan. Energy Conversion and Management 2013;65: 704–708.

Kennedy J, Hoyt N. The energy crisis of Nigeria: An overview and implications for the future. The University of Chicago; 2008.

Ucar A, Balo F. Evaluation of wind energy potential and electricity generation at six locations in Turkey. Applied Energy. 2009; 86:1864–72.

Salihu T, Olukunle JO, Adenubi OT, Mbaoji C, Zarma MH. Ethnomedicinal plant species commonly used to manage arthritis in North-West Nigeria. South African Journal of Botany. 2018;118(2918): 33-43.

DOI: 10.1016/j.sajb.2018.06.004

Ordonez G, Osma G, Vergara P, Rey J. Wind and solar energy potential assessment for development of renewables energies applications in Bucaramanga, Colombia, The International Congress of Mechanical Engineering and Agricultural Sciences. 2013;59(2013):1-6.


Justus CG, Hargraves WR, Mikhail A, Graber D. Methods for estimating wind speed frequency distributions. J. Applied Meteorology. 1978;17:350.

Walker JF, Jenkins S. Wind energy technology, john wiley & sons, chinchester; 1997.

Dass HK. Advanced engineering mathematics, S. Chand & company Ltd, New Delhi. 1998;1158.

Enibe SO. A method of assessing wind energy potential in a Nigerian Location. Nigerian Journal of Solar Energy. 1987;6:14.

Kamau JN, Kinyua R, Gathua JK. Six years of wind data for Marsabit, Kenya average over 14 m/s at 100 m Hub height; an analysis of the wind energy poten¬tial. Renewable Energy. 2010;35(6):1298–302.

DOI: 10.1016/j.renene.2009.10.008