Techno-Economic Assessment of Wind Turbines in Nigeria
Ignatius Kema Okakwu,
Olakunle Elijah Olabode,
Akintunde Samson Alayande,
Tobiloba Emmanuel Somefun and
Titus Oluwasuji Ajewole
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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.
International Journal of Energy Economics and Policy, 2021, vol. 11, issue 2, 240-246
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.
Keywords: Capacity factor estimation; Wind turbine; Electricity generation; Techno-economy (search for similar items in EconPapers)
JEL-codes: C63 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:eco:journ2:2021-02-31
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