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Quantification of the near-surface wind conditions of the African coast: A comparative approach (satellite, NCEP CFSR and WRF-based)

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  • Olaofe, Z.O.

Abstract

The temporal and spatial variations of the near-surface wind conditions across the African coast are enormous due to local flow perturbations from changes in sea surface roughness or/and the weather system processes driven mainly by the Atlantic and Indian Ocean Currents. Over the past decades, the patterns of the near surface wind speed and directional flow have significantly changed across the globe. To quantify the long-term changes of the surface wind conditions off the African coasts, the spatial distributions of historical wind climates and analyzed surface temperature from remote sensing and two atmospheric models are presented. Thus, the offshore wind conditions variability derived across 4 coastal zones are quantified through a comparative approach. Over period of 2001–2010, the trends of regional-scale wind conditions from the numerical model of NCEP CFSR and satellite observations of CCMP are assessed. For identification of geographical viable locations with concentrated energy resource and negative temperature gradient, the surface wind conditions are adjusted to offshore turbine generator (V80 2 MW) operating height of 100 m. Based on statistical evaluation of the offshore wind condition, graphical representations of the historical wind climate are presented. Furthermore, the monthly and seasonal sectorwise winds at 10 and 100 m ASL for 2002 are compared in determining how local perturbations had caused a drift in offshore wind flows within the boundary height of 100 m. On local-scale evaluation, the near-surface wind conditions derived from WRF are validated with NCEP and CCMP datasets. The long-term historical wind conditions in time and space revealed that the satellite, WRF and NCEP models are reliable tools in replication of the coastal wind conditions across the coasts of Africa. Results also indicate the southeast coast to be an energetic region with concentrated mean wind energy flux between 300 and 1580 W/m2 (8.10–13.70 m/s), but subjects to coastal variations of strong weather processes. No persistent wind pattern was found when considering the variability of near-surface wind conditions from a low to high latitude.

Suggested Citation

  • Olaofe, Z.O., 2019. "Quantification of the near-surface wind conditions of the African coast: A comparative approach (satellite, NCEP CFSR and WRF-based)," Energy, Elsevier, vol. 189(C).
  • Handle: RePEc:eee:energy:v:189:y:2019:i:c:s0360544219319279
    DOI: 10.1016/j.energy.2019.116232
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    1. Colmenar-Santos, Antonio & Perera-Perez, Javier & Borge-Diez, David & dePalacio-Rodríguez, Carlos, 2016. "Offshore wind energy: A review of the current status, challenges and future development in Spain," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 1-18.
    2. Johansson, Bengt, 2013. "Security aspects of future renewable energy systems–A short overview," Energy, Elsevier, vol. 61(C), pages 598-605.
    3. Wachsmuth, J. & Blohm, A. & Gößling-Reisemann, S. & Eickemeier, T. & Ruth, M. & Gasper, R. & Stührmann, S., 2013. "How will renewable power generation be affected by climate change? The case of a Metropolitan Region in Northwest Germany," Energy, Elsevier, vol. 58(C), pages 192-201.
    4. Li, Delei & Geyer, Beate & Bisling, Peter, 2016. "A model-based climatology analysis of wind power resources at 100-m height over the Bohai Sea and the Yellow Sea," Applied Energy, Elsevier, vol. 179(C), pages 575-589.
    5. Gadad, Sanjeev & Deka, Paresh Chandra, 2016. "Offshore wind power resource assessment using Oceansat-2 scatterometer data at a regional scale," Applied Energy, Elsevier, vol. 176(C), pages 157-170.
    6. Florin Onea & Liliana Rusu, 2018. "Evaluation of Some State-Of-The-Art Wind Technologies in the Nearshore of the Black Sea," Energies, MDPI, vol. 11(9), pages 1-16, September.
    7. Lledó, Ll. & Torralba, V. & Soret, A. & Ramon, J. & Doblas-Reyes, F.J., 2019. "Seasonal forecasts of wind power generation," Renewable Energy, Elsevier, vol. 143(C), pages 91-100.
    8. Liu, Yichao & Chen, Daoyi & Li, Sunwei & Chan, P.W., 2018. "Discerning the spatial variations in offshore wind resources along the coast of China via dynamic downscaling," Energy, Elsevier, vol. 160(C), pages 582-596.
    9. Santiago Salvador & Xurxo Costoya & Francisco Javier Sanz-Larruga & Luis Gimeno, 2018. "Development of Offshore Wind Power: Contrasting Optimal Wind Sites with Legal Restrictions in Galicia, Spain," Energies, MDPI, vol. 11(4), pages 1-25, March.
    10. Draxl, Caroline & Clifton, Andrew & Hodge, Bri-Mathias & McCaa, Jim, 2015. "The Wind Integration National Dataset (WIND) Toolkit," Applied Energy, Elsevier, vol. 151(C), pages 355-366.
    11. Olaofe, Z.O., 2018. "Review of energy systems deployment and development of offshore wind energy resource map at the coastal regions of Africa," Energy, Elsevier, vol. 161(C), pages 1096-1114.
    12. Santos, F. & Gómez-Gesteira, M. & deCastro, M. & Añel, J.A. & Carvalho, D. & Costoya, Xurxo & Dias, J.M., 2018. "On the accuracy of CORDEX RCMs to project future winds over the Iberian Peninsula and surrounding ocean," Applied Energy, Elsevier, vol. 228(C), pages 289-300.
    13. Khan, Komal S. & Tariq, Muhammad, 2018. "Wind resource assessment using SODAR and meteorological mast – A case study of Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2443-2449.
    14. Carvalho, D. & Rocha, A. & Gómez-Gesteira, M. & Silva Santos, C., 2014. "Offshore wind energy resource simulation forced by different reanalyses: Comparison with observed data in the Iberian Peninsula," Applied Energy, Elsevier, vol. 134(C), pages 57-64.
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