Assessments of Wind-Energy Potential of Four Nigeria States for Sustainable Development

Authors

  • Louis Tersoo Abiem
    Department of Physics, Joseph Sarwuan Tarka University Makurdi
  • David Ani
    Department of Mechanical and Construction Engineering, Northumbria University Newcastle, U.K.
  • Igbawua Tertsea
    Department of Physics, Joseph Sarwuan Tarka University, Makurdi, Nigeria
  • Felix Igbasue Ortwer
    Department of Physics, Joseph Sarwuan Tarka University, Makurdi, Nigeria

Keywords:

Wind Energy, Wind Power Density, Weibull Distribution, Sustainable Development

Abstract

Growing worldwide energy demands and concerns about climate change have made the shift to renewable energy sources, especially wind energy, essential for sustainable development. However, despite Nigeria's richness of wind resources, there is scanty evaluations of wind properties (temporal and spatial characteristics of wind direction and speed), which are necessary for the siting of wind generation infrastructure. This research assessed the potential, trends, and variability of wind speed and direction to identify regions in Nigeria that would support higher wind power density and be appropriate for the installation of wind energy conversion systems aimed at electricity generation for sustainable development across four states: Abuja, Sokoto, Jigawa, and Ebonyi. Daily wind speed and direction data spanning from 1982 to 2023 for these selected locations were sourced from NASA's MERRA-2 archives, recorded at heights of 10 and 50 meters. The daily measurements were compiled into monthly averages and analyzed using the 2-parameter Weibull distribution test. The results indicated the average wind speeds at a hub height of 10 m were 3.83, 2.59, 3.06, and 3.98 m/s respectively for Abuja, Ebonyi, Jigawa, and Sokoto. At a hub height of 50 m, the wind power density was measured at 286.6 W/m² for Abuja (marginal - power class 2), 165.9 W/m² for Jigawa (poor - power class 1), 301.8 W/m² for Sokoto (fair - power class 3), all oriented in the ENE direction, and 99.3 W/m² for Ebonyi (poor - power class 1), directed towards the NNE. Moreover, the annual wind energy production reached 1980, 1390, and 2003 MWh/a for Abuja, Jigawa, and Sokoto, respectively, all in the ENE direction, while Ebonyi recorded the highest production of 495 MWh/a in the SSW direction. This suggests that Sokoto has the greatest potential for wind energy, followed closely by Abuja, whereas Ebonyi shows the least wind...

Author Biographies

David Ani

Department of Mechanical and Construction Engineering, Northumbria University Newcastle, U.K., Postgraduate Student

Igbawua Tertsea

Department of Physics, Joseph Sarwuan Tarka University, Makurdi, Nigeria, Senior Lecturer

Felix Igbasue Ortwer

Department of Physics, Joseph Sarwuan Tarka University, Makurdi, Nigeria, Student

Dimensions

Abaje, I.B., Ati, O.F., & Iguisi, E.O. (2012). Changing climatic scenarios and strategies for drought adaptation and mitigation in the Sudano-Sahelian Ecological Zone of Nigeria.

Abubakar, I.R. (2014) ‘Abuja City Profile’, Cities, 41, 81–91. https://doi.org/10.1016/j.cities.2014.05.008.

Ackermann, T. and Söder, L. (2002) ‘An overview of wind energy-status 2002’, Renewable and Sustainable Energy Reviews, 6(1–2), 67–127. https://doi.org/10.1016/s1364-0321(02)00008-4.

Adaramola, M. S., & Oyewola, O. M. (2011). On wind speed pattern and energy potential in Nigeria. Energy Policy, 39(5), 2501–2506. https://doi.org/10.1016/j.enpol.2011.02.016

Adegboyega, S., Olajuyigbe, A., Balogun, I. and Olatoye, O. (2016). Monitoring drought and effects on vegetation in Sokoto state, Nigeria using statistical and geospatial techniques. Ethiopian Journal of Environmental Studies and Management, 9(1), 56. https://doi.org/10.4314/ejesm.v9i1.6.

Adekoya, L.O. and Adewale, A.A. (1992) ‘Wind energy potential of Nigeria’, Renewable Energy, 2(1), 35–39. https://doi.org/10.1016/0960-1481(92)90057-a

Ahmed Shata A.S. & Hanitsch, R. (2006). Evaluation of wind energy potential and electricity generation on the coast of Mediterranean Sea in Egypt. Renewable Energy, 31:1183–202.

Akdag, S.A. & Güler, Ö. (2010). Evaluation of wind energy investment interest and electricity generation cost analysis for Turkey. Appl Energy, 87:2574–80.

Aliyu, A. S., Dada, J. O., & Adam, I. K. (2015). Current status and future prospects of renewable energy in Nigeria. Renewable and Sustainable Energy Reviews, 48, 336–346. https://doi.org/10.1016/j.rser.2015.03.098

Amadi, H.N., Madu, M.C., Ojuka, O.E. and Igbogidi, O.N. (2024). Renewable Energy in Nigeria: Prospects and Challenges, European Journal of Advances in Engineering and Technology, 11(4), 51-60

Attabo, A.A., Ajayi, O.O., Oyedepo, S.O. and Afolalu, S.A. (2023). Assessment of the wind energy potential and economic viability of selected sites along Nigeria’s coastal and offshore locations. Frontiers in Energy Research, 11, https://doi.org/10.3389/fenrg.2023.1186095

Carta, J. A., Ramírez, P., & Velázquez, S. (2009). A review of wind speed probability distributions used in wind energy analysis. Renewable and Sustainable Energy Reviews, 13(5), 933–955. https://doi.org/10.1016/j.rser.2008.05.005

Census, 2006, http://nationalpopulation.gov.ng/census-enumeration

Fagbenle, R. O., Katende, J., Ajayi, O. O., & Okeniyi, J. O. (2011). Assessment of wind energy potential of two sites in North-East, Nigeria. Renewable Energy, 36(4), 1277–1283. https://doi.org/10.1016/j.renene.2010.10.003

Garcia, A. et al. (1998) ‘Fitting wind speed distributions: A case study’, Solar Energy, 62(2), 139–144. https://doi.org/10.1016/s0038-092x(97)00116-3.

GWEC (2023). Global Wind Report 2023. Global Wind Energy Council. https://gwec.net/global-wind-report-2023/

Hassan, S.C. et al. (2018) ‘Assessment of indoor residual spraying and entomological collections of mosquitoes at the Student Village of Nasarawa State University Keffi, Nasarawa State, Nigeria’, Journal of Bioscience and Biotechnology Discovery, 3(3), 71–77. https://doi.org/10.31248/jbbd2018.061.

Igbawua, T., Ujoh, F., Mkighirga, S.K. & Adagba, G. (2024). Assessment of relationship between sea surface temperature (SST) changes and precipitation types in Nigeria from 2000 to 2022, Results in Earth Sciences, 2, 100031, https://doi.org/10.1016/j.rines.2024.100031

Manwell, J.F., McGowan, J.G., & Rogers, A.L. (2010). Wind Energy Explained: Theory, Design and Application (2nd ed.). John Wiley and Sons, Ltd. DOI: 10.1260/030952406778055054

Murty, Tad.S. (2010) ‘A. Chandrasekhar: Basics PF Atmospheric Science’, Natural Hazards, 56(1), pp. 403–405. https://doi.org/10.1007/s11069-010-9590-x.

Nwachuku, D.N. and Morka, J.C. (2024) Wind Energy Resource Assessment in Nigeria: A Methodological Approach, Nigerian Journal of Physics, vol. 33(4): https://doi.org/10.62292/njp.v33i4.2024.344

Nze-Esiaga, N. and Okogbue, E.C. (2014) Assessment of Wind Energy Potential as a Power Generation Source in Five Locations of South Western Nigeria. Journal of Power and Energy Engineering, 2, 1-13. http://dx.doi.org/10.4236/jpee.2014.25001

Ohunakin, O. S., & Akinnawonu, O. O. (2012). Assessment of wind energy potential and the economics of wind power generation in Jos, Plateau State, Nigeria. Energy for Sustainable Development, 16(1), 78–83. https://doi.org/10.1016/j.esd.2011.10.004

Ouammi A, Dagdougui H, Sacile R, Mimet A. Monthly and seasonal assessment of wind energy characteristics at four monitored locations in Liguria region (Italy). Renewable Sustainable Energy Rev 2010;14:1959–68.

Rehman, S. and Ahmad, A. (2004) ‘Assessment of wind energy potential for coastal locations of the Kingdom of Saudi Arabia’, Energy, 29(8), 1105–15. https://doi.org/10.1016/j.energy.2004.02.026.

Rehman, S. and Al-Abbadi, N.M. (2008). Wind shear coefficient, turbulence intensity and wind power potential assessment for Dhulom, Saudi Arabia. Renewable Energy, 33(12), 2653–2660. https://doi.org/10.1016/j.renene.2008.02.012.

United Nations (UN). (2015). Transforming our world: The 2030 Agenda for Sustainable Development.

Wang, L., Liu, J. and Qian, F. (2021). Wind speed frequency distribution modeling and wind energy resource assessment based on polynomial regression model. International Journal of Electrical Power & Energy Systems, 130, 106964. https://doi.org/10.1016/j.ijepes.2021.106964.

Zhang, H., Qi, Z., Ye, X., Cai, Y., Ma, W. and Chen, M. (2013). Analysis of land use/land cover change, population shift, and their effects on spatiotemporal patterns of urban heat islands in metropolitan Shanghai, China. Applied Geography, 44, 121–133. https://doi.org/10.1016/j.apgeog.2013.07.021

Published

2025-07-14

How to Cite

Abiem, L. T., Ani, D., Igbawua, T., & Ortwer, F. I. (2025). Assessments of Wind-Energy Potential of Four Nigeria States for Sustainable Development. Nigerian Journal of Physics, 34(2), 158-171. https://doi.org/10.62292/10.62292/njp.v34i2.2025.398

Issue

Vol. 34 No. 2 (2025): Nigerian Journal of Physics - Vol. 34 No. 2

Section

Articles
Copyright & Licensing

How to Cite

Abiem, L. T., Ani, D., Igbawua, T., & Ortwer, F. I. (2025). Assessments of Wind-Energy Potential of Four Nigeria States for Sustainable Development. Nigerian Journal of Physics, 34(2), 158-171. https://doi.org/10.62292/10.62292/njp.v34i2.2025.398