Exploration of Wind-Wave Energy Potentials for Renewable Energy Development in Parts of Ondo Coastal and Offshore Locations, Southwestern Nigeria
P. A. Enikanselu1, A. A. Balogun2, T. Ewetumo3, A. A. Osinowo4, M. O. Ogundare5, O. R. Ashiru6, J. S. Abe7, A. S. Ifanegan8, B. A. Okunlola9
1Enikanselu Pius Adekunle, Professor, Department of Applied Geophysics, School of Earth and Mineral Sciences, Federal University of Technology, Akure, Ondo, Nigeria.
2Balogun Ahmed Adedoyin, Professor, Department of Meteorology and Climate Science, School of Earth and Mineral Sciences, Federal University of Technology, Akure, Ondo, Nigeria.
3Ewetumo Theophilus, Associate Professor, Department of Physics, School of Earth and Mineral Sciences, Federal University of Technology, Akure, Ondo, Nigeria.
4A. A. Osinowo, Department of Marine Science, Federal University of Technology Akure, Ondo State, Nigeria.
5Margaret Ojone Ogundare, Department of Marine Science and Technology, School of Earth and Mineral Sciences, Federal University of Technology, Akure, Ondo, Nigeria.
6Ashiru Olusola Raheemat, Department of Marine Science and Technology, School of Earth and Mineral Sciences, Federal University of Technology, Akure, Ondo, Nigeria.
7James Sunday. Abe, Senior Lecturer, Department of Marine Science and Technology, School of Earth and Mineral Sciences, Federal University of Technology, Akure, Ondo, Nigeria.
8A. S. Ifanegan, Assistant Lecturer, Department of Applied Geophysics, Federal University of Technology Akure, Ondo State, Nigeria.
9Babatande Abraham Okunlola, Department of Marine Science and Technology, School of Earth and Mineral Sciences, Federal University of Technology, Akure, Ondo, Nigeria.
Manuscript received on 11 January 2025 | First Revised Manuscript received on 24 January 2025 | Second Revised Manuscript received on 10 February 2025 | Manuscript Accepted on 15 February 2025 | Manuscript published on 28 February 2025 | PP: 1-10 | Volume-4 Issue-2, February 2025 | Retrieval Number: 100.1/ijeer.B103904020225 | DOI: 10.54105/ijeer.B1039.04020225
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© The Authors. Published by Lattice Science Publication (LSP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The study explored wind-wave energy distribution in parts of Ondo State coastal and offshore locations, Nigeria. This was to identify suitable locations for the deployment of wind turbines and wave energy converters (WEC) for the government’s proposed renewable energy initiative in the area. It involved the use of daily, one-hourly averaged wave height, wave period, and 10 m wind speed data spanning from January 1, 1989, to December 31, 2023, derived from ERA5 reanalysis data sets. The wave height and wave period data were used to compute the wave power density, while the 10 m wind speed data was used to estimate the wind power density. The two-parameter Weibull distribution function with the gamma function was used to compute the wind power density. The threshold condition of wave power density above 6 kW/m and a coefficient of variation below 2.0 was used to determine the relatively rich energy regions of wave power. Also, the wind power classification was used to determine the class of dominant wind power in the area. Results revealed that the wave power varied from 0.01–4.57 kW/m, while the wind power varied from 7.66–83.43 W/m². The southwestern part of the study area (offshore) exhibited the largest wind power density. The studied locations were adjudged unsuitable for large-scale wind-wave energy generation. The energy potentials could only be adequate for non-grid-connected electrical and mechanical applications. However, probing deeper offshore
Keywords: ERA5 Reanalysis Data, Renewable Energy, Wave Energy Converter, Wind Turbines.
Scope of the Article: Renewable Energy