Wind Profile Analysis and Wind Turbine Selection for a Low-Wind Site: A Case Study of Lokoja, Nigeria

Authors

  • Nafiu Adam Adam
  • Mary Samuel N

DOI:

https://doi.org/10.33003/fjorae.2026.0301.63

Keywords:

Wind Energy, Weibull Distribution, Turbine Performance, Low Wind-Site

Abstract

This study presents a comprehensive assessment of wind energy potential and turbine performance in Lokoja, Nigeria, a region characterized by low to moderate wind speeds. Wind speed data at 10 m height, obtained from the Nigeria Meteorological Agency (NiMet) were statistically analyzed using Weibull distribution to model the site’s wind profile, forming the basis for simulating the performance of ten wind turbine models ranging from 10 kW to 6 MW. Evaluation criteria included cut-in speed, annual energy production (AEP), capacity factor, and levelized cost of energy (LCOE).Results showed that turbines with low cut-in speeds (≤2.5 m/s) are more suitable for Lokoja’s wind regime. Among all models, the Enercon E-115/3.000 demonstrated the highest cost-efficiency, with a capacity factor of 0.124 and an estimated LCOE of $0.085/kWh (₦136.61). Mid-sized turbines like the Polaris P62-1000 and Envision EN-82/1500 also showed balanced performance for decentralized applications. In contrast, smaller turbines such as the Bergey Excel 10 and Aircon 10S were found to be economically unviable due to low energy yield and high unit cost. This study provides a critical, data-driven framework for turbine selection in Nigeria's underexplored inland low-wind regions, supporting the country's goals for renewable energy diversification and rural electrification. It is recommended that small to medium sized turbine with ultra- low cut-in-speed be prioritized for deployment in Lokoja.

References

Ackermann, T., & 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

Adewuyi, O. B. (2020). Challenges and prospects of renewable energy in Nigeria: A case of bioethanol and biodiesel production. Energy Reports, 6, 77-88. https://doi.org/10.1016/j.egyr.2019.12.002

Akinbode, O. M., Eludoyin, A. O., & Fashae, O. A. (2008). Temperature and relative humidity distributions in a medium-size administrative town in Southwestern Nigeria. Journal of Environmental Management, 87(1), 95-105. https://doi.org/10.1016/j.jenvman.2007.01.018

Ayodele, T. R., Ogunjuyigbe, A. S. O., & Amusan, T. O. (2012). Wind energy evaluation for electricity generation using WECS in seven selected locations in Nigeria. Applied Energy, 99, 299-308. https://doi.org/10.1016/j.apenergy.2012.05.019

Cavazzini, G., Santolini, E., & Ardizzon, G. (2018). A multi-objective genetic algorithm method for the optimal design of wind turbine blades. Journal of Turbomachinery, 140(11), 111001. https://doi.org/10.1115/1.4040789

Fadare, D. A. (2010). The application of artificial neural networks to mapping of wind speed profile for energy application in Nigeria. Applied Energy, 87(3), 934-942. https://doi.org/10.1016/j.apenergy.2009.09.005

Gasch, R., & Twele, J. (Eds.). (2011). Wind power plants: Fundamentals, design, construction and operation. Springer Science & Business Media. https://doi.org/10.1007/978-3-642-22938-1

Global Wind Energy Council (GWEC). (2023). Global Wind Report 2023. Brussels, Belgium: GWEC. Retrieved from https://gwec.net/globalwindreport2023/

IEC 61400-1. (2019). *Wind energy generation systems - Part 1: Design requirements* (4th ed.). International Electrotechnical Commission. Retrieved from https://webstore.iec.ch/publication/26423

Justus, C. G., Hargraves, W. R., & Yalcin, A. (1976). Nationwide assessment of potential output from wind-powered generators. Journal of Applied Meteorology, 15(7), 673-678. https://doi.org/10.1175/1520-0450(1976)015<0673:NAOPOF>2.0.CO;2

Lydia, M., Kumar, S. S., & Selvakumar, A. I. (2014). A comprehensive review on wind turbine power curve modeling techniques. Renewable and Sustainable Energy Reviews, 30, 452-460. https://doi.org/10.1016/j.rser.2013.10.030

Manwell, J. F., McGowan, J. G., & Rogers, A. L. (2009). Wind energy explained: Theory, design and application (2nd Ed.). John Wiley & Sons. https://doi.org/10.1002/9781119994367

Muhammad, S. U., Solomon, W. C., Sa`ad., A. and Samuel, M. (2018); “Analysis of wind data and its energy potentials across three cities in Nigeria”. Proceedings of national conference on the role of engineering in the diversification of Nigerian economy, ABU Zaria, pp 307-312

Ngala, G. M., Alkali, B., & Aji, M. A. (2007). Viability of wind energy as a power generation source in Maiduguri, Borno state, Nigeria. Renewable Energy, 32(13), 2242-2246. https://doi.org/10.1016/j.renene.2006.12.008

Nigerian Meteorological Agency (NiMet) & World Bank Group. (2023). The Wind Atlas for Nigeria. Abuja, Nigeria. Retrieved from https://www.nimet.gov.ng/wind-atlas-nigeria

Ohunakin, O. S., Adaramola, M. S., & Oyewola, O. M. (2014). Wind energy evaluation for electricity generation using WECS in seven selected locations in Nigeria. Applied Energy, 118, 52-59. https://doi.org/10.1016/j.apenergy.2013.12.020

Okeniyi, J. O., Ohunakin, O. S., & Okeniyi, E. T. (2015). Assessment of wind-energy potential in selected sites from three geopolitical zones in Nigeria: Implications for renewable/sustainable rural electrification. The Scientific World Journal, 2015, 581679. https://doi.org/10.1155/2015/581679

Peterson, E. W., & Hennessey, J. P. (1978). On the use of power laws for estimates of wind power potential. Journal of Applied Meteorology, 17(3), 390-394. https://doi.org/10.1175/1520-0450(1978)017<0390:OTUOPL>2.0.CO;2

Seguro, J. V., & Lambert, T. W. (2000). Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis. Journal of Wind Engineering and Industrial Aerodynamics, 85(1), 75-84. https://doi.org/10.1016/S0167-6105(99)00122-1

Şen, Z. (2013). A revised wind power formulation and its comparison with the Weibull distribution. Journal of Wind Engineering and Industrial Aerodynamics, 112, 46-53. https://doi.org/10.1016/j.jweia.2012.11.002

Thöns, S. (2018). The value of structural health monitoring for the reliable bridge reliability prediction and the efficient bridge management. In *Proceedings of the 6th International Symposium on Life-Cycle Civil Engineering (IALCCE 2018)* (pp. 25-42). CRC Press. https://doi.org/10.1201/9781315228914-3

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Published

2026-06-12

How to Cite

Adam, N., & Samuel, M. (2026). Wind Profile Analysis and Wind Turbine Selection for a Low-Wind Site: A Case Study of Lokoja, Nigeria. FUDMA Journal of Renewable and Atomic Energy, 3(1), 37-48. https://doi.org/10.33003/fjorae.2026.0301.63