Published February 28, 2025 | Version CC-BY-NC-ND 4.0
Journal article Open

Exploration of Wind-Wave Energy Potentials for Renewable Energy Development in Parts of Ondo Coastal and Offshore Locations, Southwestern Nigeria

Creators

  • 1. Department of Marine Science, Federal University of Technology Akure, Ondo State, Nigeria.

Contributors

Contact person:

  • 1. Professor, Department of Applied Geophysics, School of Earth and Mineral Sciences, Federal University of Technology, Akure, Ondo, Nigeria.
  • 2. Professor, Department of Meteorology and Climate Science, School of Earth and Mineral Sciences, Federal University of Technology, Akure, Ondo, Nigeria.
  • 3. Associate Professor, Department of Physics, School of Earth and Mineral Sciences, Federal University of Technology, Akure, Ondo, Nigeria.
  • 4. Department of Marine Science, Federal University of Technology Akure, Ondo State, Nigeria.
  • 5. Department of Marine Science and Technology, School of Earth and Mineral Sciences, Federal University of Technology, Akure, Ondo, Nigeria.
  • 6. Senior Lecturer, Department of Marine Science and Technology, School of Earth and Mineral Sciences, Federal University of Technology, Akure, Ondo, Nigeria.
  • 7. Assistant Lecturer, Department of Applied Geophysics, Federal University of Technology Akure, Ondo State, Nigeria.

Description

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 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 could detect bankable regions of wind-wave energy deposits.

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Additional details

Identifiers

DOI
10.54105/ijeer.B1039.04020225
EISSN
2583-1186

Dates

Accepted
2025-02-15
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.

References

  • M. Cornett, "A global wave energy resource assessment". In: Proceedings of the eighteenth international offshore and polar engineering conference (ISOPE), International Society of Offshore and Polar Engineers, Vancouver, 2008, Paper No. ISOPE-2008-579, https://onepetro.org/ISOPEIOPEC/proceedings/ISOPE08/AllISOPE08/ISOPE-I-08-370/10883
  • K.E, Thomsen, "Offshore Wind: A Comprehensive Guide to Successful Offshore Wind Farm Installation". London, UK: Academic Press, 2014, p.404. http://ci.nii.ac.jp/ncid/BB16945189
  • S. Astariz, C. Perez-Collazo, and J. Abanades, "Co-located wave-wind farms: Economic assessment as a function of layout". Renewable Energy,2015,83:837–849. DOI: https://doi.org/10.1016/j.renene.2015.05.028
  • L, Cradden, C. Kalogeri, and I. M. Barrios, "Multi-criteria site selection for offshore renewable energy platforms", Renewable energy, 2016, 87: 791–806. DOI: https://doi.org/10.1016/j.renene.2015.10.035
  • L. Rusu, and F. Onea, "The performance of some state-of-the-art wave energy converters in locations with the worldwide highest wave power," Renewable and Sustainable Energy Reviews, 2017, pp. 1348–1362. DOI: https://doi.org/10.1016/j.rser.2016.11.123
  • G. Emmanouil, G. Galanis, C. Kalogeri, "10-year high resolution study of wind, sea waves and wave energy assessment in the Greek offshore areas."Renewable Energy, 2016, pp.399–419. DOI: https://doi.org/10.1016/j.renene.2016.01.031
  • E. D. Stoutenburg, N. Jenkins, and M. Z. Jacobson, "Power output variations of co-located offshore wind turbines and wave energy converters in California." Renewable Energy, 2010, pp. 2781–2791. DOI: https://doi.org/10.1016/j.renene.2010.04.033
  • C.W. Zheng, H. Zhuang ,X. Li et al. Wind energy and wave energy resources assessment in the East China Sea and South China Sea. Sci China Tech Sci, 2012, 55: 163−173, DOI: https://doi.org/10.1007/s11431-011-4646-z
  • T. Soukissian, F. Karathanasi, and P. Axaopoulos, "Satellite-Based Offshore wind resource assessment in the mediterranean sea." IEEE J. Ocean. Eng. 42, 2017, pp. 73–86. DOI: http://dx.doi.org/10.1109/JOE.2016.2565018.
  • F. Onea, S. Ciortan, and E. Rusu, "Assessment of the potential for developing combined wind-wave projects in the European nearshore" Energy Environ. 28, 2017, pp. 580–597. DOI: https://doi.org/10.1177/0958305X17716947.
  • D. McMillan, and G. W. Ault, "Techno-economic comparison of operational aspects for direct drive and gearbox-driven wind turbines." IEEE. Trans. Energy Convers. 25, 2010, pp. 191–198. DOI: https://doi.org/10.1109/TEC.2009.2032596.
  • Y. Liu, Y. Li, F. He, and H. Wang, "Comparison study of tidal stream and wave energy technology development between China and some Western Countries." Renew. Sustain. Energy Rev. 76, 2017, 701–716. DOI: https://doi.org/10.1016/j.rser.2017.03.049.
  • F. Fusco, G. Nolan, and J. V. Ringwood, Variability reduction through optimal combination of wind/wave resources—an Irish case study. Energy 35, 2010, pp. 314–325. DOI: https://doi.org/10.1016/j.energy.2009.09.023.
  • S. Astariz, and G. Iglesias, "Selecting optimum locations for co-located wave and wind energy farms." Part I: The Co-Location Feasibility index. Energy Conversion Manage. 122, 2016, pp. 589–598. DOI: https://doi.org/10.1016/j.enconman.2016.05.079.
  • A. Filimão Sitoea, , A. Mubango Hoguane and S. Haddout, The ocean as a source of renewable energy in sub-Saharan Africa:sources, potential, sustainability and challenges. International Journal of Sustainable Energy2023, VOL. 42, NO. 1, 436–460 DOI: https://doi.org/10.1080/14786451.2023.2204378
  • L. Margheritini, A. M. Hansen, and P. Frigaard, "A method for EIA scoping of wave energy converters-based on classification of the used technology. Environ. Impact Assess. Rev. 32, 2012, pp. 33–44. DOI: https://doi.org/10.1016/j.eiar.2011.02.003.
  • A.A. Osinowo, and S.O. Popoola, Statistical evaluations of sea's state along the Nigerian coast. Journal of Coastal Conservation, 2024. 28(1). DOI: https://doi.org/10.1007/s11852-023-01014-1
  • G.W. Olakunle, A. A. Osinowo and B.A. Okunlola, Potentials for Wave Power Generation in Ayetoro, Ondo State, Nigeria. International Journal of Engineering Research-Online. 2021, vol 9 (4), https://www.researchgate.net/publication/373797793_POTENTIALS_ FOR_WAVE_POWER_GENERATION_IN_AYETORO_ONDO_ST ATE_NIGERIA
  • A.A. Osinowo and S.O. Popoola,. Long-term spatio-temporal trends in extreme wave events in the Niger delta coastlines. Continental Shelf Research,2021, 224, 104471. DOI: https://doi.org/10.1016/j.csr.2021.104471
  • G.W. Olakunle, M. Salami, and A. A. Osinowo. Assessment of Sea Incursion and Flood Susceptibility Factors In Ayetoro Fishing Community of Ondo State, Nigeria. Journal of Advanced Studies in Agricultural, Biological and Environmental Sciences (JABE) 2021, Vol.8. (2) http://jabe.in/8.2.21/1-13%20OLAKUNLE,%20G.%20W.pdf
  • H.T. Ishaku, and M. Rafee Majid, X-Raying Rainfall Pattern and Variability in North-eastern Nigeria: Impacts on Access to Water Supply. J. Water Resource and Protection, 2:952-959. 2010. DOI: http://doi.org/10.4236/jwarp.2010.211113.
  • G.O. Omosuyi, J.S. Ojo, and M.O. Olorunfemi. "Geoelectric Sounding to Delineate Shallow Aquifers in the Coastal Plain Sands of Okitipupa Area, Southwestern Nigeria". Pacific Journal of Science and Technology. 9(2). 2008. 562-577. http://www.akamaiuniversity.us/PJST.htm
  • Y. A. Asiwaju-Bello and J.O Owoseni, Hydrogeology of the coastal region of Ondo State, Nigeria. Engineering Research Journal, 3(5), 2023, 37-50.ISSN: 2782-8212. https://www.ijaar.org/erj
  • J. Barbier, F. Guichard, D. Bouniol, F. Couvreux, and R. Roehrig, "Detection of Intraseasonal Large-Scale Heat Waves: Characteristics and Historical Trends during the Sahelian Spring." American Meteorological 555 Society Section: Journal of Climate. Volume 31, issue 1. 2018, Page(s): 61–80. DOI: https://doi.org/10.1175/JCLI-D-17- 0244.1
  • M. Sathyajith, "Wind energy: fundamentals, resource analysis and economics," 2006, Springer. DOI: https://doi.org/10.5860/choice.44- 0337
  • C. W. Zheng, L. Zhou, B. K. Jia, J. L. Pan, and X. Li, "Wave characteristic analysis and wave energy resource evaluation in the China Sea," Journal of Renewable and Sustainable Energy, vol 6. 2014. DOI: https://doi.org/10.1063/1.4885842
  • D. S. Wilks, "Statistical Methods in the Atmospheric Sciences: An Introduction." Academic Press, San Diego, Calif, USA.1995. DOI: http://ci.nii.ac.jp/ncid/BA24436638
  • A. A. Osinowo, X. Lin, D. Zhao, and K. Zheng, On the Wind Energy Resource and Its Trend in the East China Sea. Journal of Renewable Energy Volume 2017, Article ID 9643130, 14 pages, Hindawi Publishing Corporation. DOI: https://doi.org/10.1155/2017/9643130.
  • G. Iglesias, and R. Carballo, "Choosing the site for the first wave farm in a region: A case study in the Galician Southwest (Spain)," Energy, vol.36(9), 2011, pp. 5525-5531. DOI: https://doi.org/10.1016/j.energy.2011.07.022
  • Singh, H. P. (2022). Scope of Solar Energy and Wind Energy in District Raebareli (Uttar Pradesh). In Indian Journal of Energy and Energy Resources (Vol. 1, Issue 3, pp. 7–8). DOI: https://doi.org/10.54105/ijeer.c1004.051322
  • Yadav, G., & Srivastava, Prof. S. K. (2024). Comprehensive Analysis on Renewable Energy Development. In International Journal of Emerging Science and Engineering (Vol. 13, Issue 1, pp. 12–15). DOI: https://doi.org/10.35940/ijese.h2553.13011224
  • Karunya Rajha G S, Shilaja C, An Optimization Strategy for Sustainable Development of Renewable Energy System. (2019). In International Journal of Innovative Technology and Exploring Engineering (Vol. 9, Issue 2S2, pp. 629–636). DOI: https://doi.org/10.35940/ijitee.b1096.1292s219
  • Jena, Dr. D., Das, J., & Samantray, Dr. A. K. (2020). Investment Decision on Renewable Energy with Reference to Rooftop Solar PVHousehold Prospective. In International Journal of Recent Technology and Engineering (IJRTE) (Vol. 8, Issue 6, pp. 1421–1424). DOI: https://doi.org/10.35940/ijrte.f7681.038620
  • Naik, O., Jaiswal, S., Bhuyar, Dr. K., & Kodape, Dr. S. (2023). Green Hydrogen Production as a Sustainable Initiative for Alternative Energy Source: A Review. In International Journal of Basic Sciences and Applied Computing (Vol. 9, Issue 10, pp. 1–5). DOI: https://doi.org/10.35940/ijbsac.i0503.0691023