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Review of energy systems deployment and development of offshore wind energy resource map at the coastal regions of Africa

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  • Olaofe, Z.O.

Abstract

The objective of this work is to evaluate the offshore wind conditions at coastal regions for energy resource map development. Thus, the review of installed energy technologies for electricity access across African nations as well as the offshore wind resource distribution for energy development based on satellite observations derived from remote sensing systems is presented. It is believed that ideal location for the electricity generation, renewable energy development and markets could be identified by determining the enormous wind resource distribution at the coastal zones. Thus, 6-hourly surface wind dataset recorded for a period of 2001–2011 across the coasts were proposed for identifying potential turbine sites. Based on the seasonal climate variability, the energy distribution maps of the offshore wind resource at 10 and 160 m heights were assessed from East to South, West and North coasts of Africa. In addition, the validity of satellite observations in processing of CCMP L3.0 wind for energy resource assessment across Africa is investigated. Furthermore, the offshore energy potential of two typical turbine (small- and utility-scale) models is evaluated based on the wind resource variation for these periods. For sustainable energy development, results revealed that the coastal zones possess excellent offshore wind energy resource potential for supporting electricity requirements. Annual and seasonal capacity factors of both small and large-scale turbines across the coastal zone were also assessed, ranging between 17.6 and 51.2%. In the achievement of 2020–2030 energy transition goals from the conventional to clean and diversified energy mix as well as a low carbon society, the studied findings offer useful energy resource information for a sustainable project and increasing penetrations of large-scale wind power on the electric grids across Africa.

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  • 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.
  • Handle: RePEc:eee:energy:v:161:y:2018:i:c:p:1096-1114
    DOI: 10.1016/j.energy.2018.07.185
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    1. Pallabazzer, Rodolfo & Sebbit, Adam M., 1998. "The wind resources in Uganda," Renewable Energy, Elsevier, vol. 13(1), pages 41-49.
    2. Mentis, Dimitrios & Hermann, Sebastian & Howells, Mark & Welsch, Manuel & Siyal, Shahid Hussain, 2015. "Assessing the technical wind energy potential in Africa a GIS-based approach," Renewable Energy, Elsevier, vol. 83(C), pages 110-125.
    3. van der Zwaan, Bob & Kober, Tom & Longa, Francesco Dalla & van der Laan, Anouk & Jan Kramer, Gert, 2018. "An integrated assessment of pathways for low-carbon development in Africa," Energy Policy, Elsevier, vol. 117(C), pages 387-395.
    4. Abdullahi Abubakar Mas’ud & Asan Vernyuy Wirba & Jorge Alfredo Ardila-Rey & Ricardo Albarracín & Firdaus Muhammad-Sukki & Álvaro Jaramillo Duque & Nurul Aini Bani & Abu Bakar Munir, 2017. "Wind Power Potentials in Cameroon and Nigeria: Lessons from South Africa," Energies, MDPI, vol. 10(4), pages 1-19, March.
    5. Safari, Bonfils & Gasore, Jimmy, 2010. "A statistical investigation of wind characteristics and wind energy potential based on the Weibull and Rayleigh models in Rwanda," Renewable Energy, Elsevier, vol. 35(12), pages 2874-2880.
    6. Abul Kalam Azad & Mohammad Golam Rasul & Talal Yusaf, 2014. "Statistical Diagnosis of the Best Weibull Methods for Wind Power Assessment for Agricultural Applications," Energies, MDPI, vol. 7(5), pages 1-30, May.
    7. Ahmed Shata, A.S. & Hanitsch, R., 2006. "Evaluation of wind energy potential and electricity generation on the coast of Mediterranean Sea in Egypt," Renewable Energy, Elsevier, vol. 31(8), pages 1183-1202.
    8. Neij, Lena, 1997. "Use of experience curves to analyse the prospects for diffusion and adoption of renewable energy technology," Energy Policy, Elsevier, vol. 25(13), pages 1099-1107, November.
    9. Steffen, Bjarne, 2018. "The importance of project finance for renewable energy projects," Energy Economics, Elsevier, vol. 69(C), pages 280-294.
    10. Allouhi, A. & Zamzoum, O. & Islam, M.R. & Saidur, R. & Kousksou, T. & Jamil, A. & Derouich, A., 2017. "Evaluation of wind energy potential in Morocco's coastal regions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 311-324.
    11. Bekele, Getachew & Palm, Björn, 2009. "Wind energy potential assessment at four typical locations in Ethiopia," Applied Energy, Elsevier, vol. 86(3), pages 388-396, March.
    12. Omer, Abdeen Mustafa, 2000. "Wind energy in Sudan," Renewable Energy, Elsevier, vol. 19(3), pages 399-411.
    Full references (including those not matched with items on IDEAS)

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    8. Nezhad, M. Majidi & Neshat, M. & Heydari, A. & Razmjoo, A. & Piras, G. & Garcia, D. Astiaso, 2021. "A new methodology for offshore wind speed assessment integrating Sentinel-1, ERA-Interim and in-situ measurement," Renewable Energy, Elsevier, vol. 172(C), pages 1301-1313.
    9. Nguyen, Thi Anh Tuyet & Chou, Shuo-Yan, 2019. "Improved maintenance optimization of offshore wind systems considering effects of government subsidies, lost production and discounted cost model," Energy, Elsevier, vol. 187(C).
    10. 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).
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