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Techno-Economic Assessment of Wind Turbines in Nigeria

Author

Listed:
  • Ignatius Kema Okakwu

    (Department of Electrical and Electronics Engineering, Olabisi Onabanjo University, Ago-Iwoye, Nigeria)

  • Olakunle Elijah Olabode

    (Department of Electrical and Electronics and Computer Engineering, Bells University of Technology, Ota, Nigeria)

  • Akintunde Samson Alayande

    (Department of Electrical and Electronics Engineering, University of Lagos, Akoka, Nigeria)

  • Tobiloba Emmanuel Somefun

    (Department of Electrical and Information Engineering, Covenant University, Ota)

  • Titus Oluwasuji Ajewole

    (Department of Electrical and Electronics Engineering, Osun State University Osogbo, Nigeria.)

Abstract

Wind energy potentials of some selected high altitude and coastal areas in Nigeria are assessed for possible utilization for the generation of electricity. The main aim is to provide pragmatic insight that will enhance the investment in wind energy conversion systems in an optimal manner. The data used in this present study were obtained from the Nigeria Meteorological Agency, which includes average wind speeds per day of four locations across the country, measured at the anemometer height of 10 metres over a period of 11 years. With the sites classified based on their wind power densities, the capacity factor estimation value was used to select the most suitable turbine for the selected sites, and the present value cost method was employed to estimate the unit cost of energy of the turbine at various hub-heights. The results obtained from this study reveal that Jos, Kano and Ikeja are economically viable as well as having excellent wind resources integration into the grid, while P/H is viable for a standalone application. The outcome of the study provides useful information that will aid renewable energy policymakers in Nigeria for wind energy development.

Suggested Citation

  • Ignatius Kema Okakwu & Olakunle Elijah Olabode & Akintunde Samson Alayande & Tobiloba Emmanuel Somefun & Titus Oluwasuji Ajewole, 2021. "Techno-Economic Assessment of Wind Turbines in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 240-246.
    • Handle: RePEc:eco:journ2:2021-02-31
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    References listed on IDEAS

    as
    1. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Amusan, T.O., 2018. "Techno-economic analysis of utilizing wind energy for water pumping in some selected communities of Oyo State, Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 335-343.
    2. Oluseyi O. Ajayi & Richard O. Fagbenle & James Katende & Julius M. Ndambuki & David O. Omole & Adekunle A. Badejo, 2014. "Wind Energy Study and Energy Cost of Wind Electricity Generation in Nigeria: Past and Recent Results and a Case Study for South West Nigeria," Energies, MDPI, vol. 7(12), pages 1-27, December.
    3. Ohunakin, S. Olayinka & Ojolo, S. Joshua & Ogunsina, S. Babatunde & Dinrifo, R. Rufus, 2012. "Analysis of cost estimation and wind energy evaluation using wind energy conversion systems (WECS) for electricity generation in six selected high altitude locations in Nigeria," Energy Policy, Elsevier, vol. 48(C), pages 594-600.
    4. Mahmure Övül Arıoğlu Akan & Ayşe Ayçim Selam & Seniye Ümit Oktay Fırat & Merve Er Kara & Semih Özel, 2015. "A Comparative Analysis of Renewable Energy Use and Policies: Global and Turkish Perspectives," Sustainability, MDPI, vol. 7(12), pages 1-29, December.
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    Cited by:

    1. Daniel Akinyele & Abraham Amole & Elijah Olabode & Ayobami Olusesi & Titus Ajewole, 2021. "Simulation and Analysis Approaches to Microgrid Systems Design: Emerging Trends and Sustainability Framework Application," Sustainability, MDPI, vol. 13(20), pages 1-26, October.
    2. Akpan, Anthony E. & Ben, Ubong C. & Ekwok, Stephen E. & Okolie, Chukwuma J. & Epuh, Emeka E. & Julzarika, Atriyon & Othman, Abdullah & Eldosouky, Ahmed M., 2024. "Technical and performance assessments of wind turbines in low wind speed areas using numerical, metaheuristic and remote sensing procedures," Applied Energy, Elsevier, vol. 357(C).

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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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