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Wave energy resource assessment for Red Sea

Author

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  • Aboobacker, V.M.
  • Shanas, P.R.
  • Alsaafani, M.A.
  • Albarakati, Alaa M.A.

Abstract

Accurate assessment of wave energy potential has not been done so far in the offshore and nearshore waters of the Red Sea. In this paper, we present an assessment of wave energy resources in the Red Sea using numerical modelling. The wave conditions are simulated for 1979 to 2010 using a third generation ocean wave model, WAVEWATCH-III by forcing with CFSR winds. The model results are validated against in situ measurements in the Red Sea. The simulated wave parameters are used to estimate the wave power in the Red Sea during the 32 years – a reasonable long-term period for accurate assessment. The estimated wave power has been analyzed on a monthly, seasonal and inter-annual basis. The results indicate robust spatial and seasonal variations in mean wave power. Detailed investigations on wave energy potential have been carried out at a number of coastal locations in the Red Sea that consists of the coasts of Saudi Arabia, Yemen, Egypt, Sudan and Eritrea. Inter-annual variability in the mean wave power is also analyzed and discussed.

Suggested Citation

  • Aboobacker, V.M. & Shanas, P.R. & Alsaafani, M.A. & Albarakati, Alaa M.A., 2017. "Wave energy resource assessment for Red Sea," Renewable Energy, Elsevier, vol. 114(PA), pages 46-58.
    • Handle: RePEc:eee:renene:v:114:y:2017:i:pa:p:46-58
    DOI: 10.1016/j.renene.2016.09.073
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    1. Arinaga, Randi A. & Cheung, Kwok Fai, 2012. "Atlas of global wave energy from 10 years of reanalysis and hindcast data," Renewable Energy, Elsevier, vol. 39(1), pages 49-64.
    2. Stopa, Justin E. & Cheung, Kwok Fai & Chen, Yi-Leng, 2011. "Assessment of wave energy resources in Hawaii," Renewable Energy, Elsevier, vol. 36(2), pages 554-567.
    3. Sanil Kumar, V. & Anoop, T.R., 2015. "Wave energy resource assessment for the Indian shelf seas," Renewable Energy, Elsevier, vol. 76(C), pages 212-219.
    4. Sharp, Ed & Dodds, Paul & Barrett, Mark & Spataru, Catalina, 2015. "Evaluating the accuracy of CFSR reanalysis hourly wind speed forecasts for the UK, using in situ measurements and geographical information," Renewable Energy, Elsevier, vol. 77(C), pages 527-538.
    5. Gallagher, Sarah & Tiron, Roxana & Whelan, Eoin & Gleeson, Emily & Dias, Frédéric & McGrath, Ray, 2016. "The nearshore wind and wave energy potential of Ireland: A high resolution assessment of availability and accessibility," Renewable Energy, Elsevier, vol. 88(C), pages 494-516.
    6. Mirzaei, Ali & Tangang, Fredolin & Juneng, Liew, 2014. "Wave energy potential along the east coast of Peninsular Malaysia," Energy, Elsevier, vol. 68(C), pages 722-734.
    7. Hughes, Michael G. & Heap, Andrew D., 2010. "National-scale wave energy resource assessment for Australia," Renewable Energy, Elsevier, vol. 35(8), pages 1783-1791.
    8. Ching-Piao, Tsai & Ching-Her, Hwang & Chien, Hwa & Hao-Yuan, Cheng, 2012. "Study on the wave climate variation to the renewable wave energy assessment," Renewable Energy, Elsevier, vol. 38(1), pages 50-61.
    9. Liliana Rusu, 2015. "Assessment of the Wave Energy in the Black Sea Based on a 15-Year Hindcast with Data Assimilation," Energies, MDPI, vol. 8(9), pages 1-19, September.
    10. Akpınar, Adem & Kömürcü, Murat İhsan, 2013. "Assessment of wave energy resource of the Black Sea based on 15-year numerical hindcast data," Applied Energy, Elsevier, vol. 101(C), pages 502-512.
    11. Guillou, Nicolas & Chapalain, Georges, 2015. "Numerical modelling of nearshore wave energy resource in the Sea of Iroise," Renewable Energy, Elsevier, vol. 83(C), pages 942-953.
    12. Folley, M. & Whittaker, T.J.T., 2009. "Analysis of the nearshore wave energy resource," Renewable Energy, Elsevier, vol. 34(7), pages 1709-1715.
    13. Kim, Gunwoo & Jeong, Weon Mu & Lee, Kwang Soo & Jun, Kicheon & Lee, Myung Eun, 2011. "Offshore and nearshore wave energy assessment around the Korean Peninsula," Energy, Elsevier, vol. 36(3), pages 1460-1469.
    14. Liberti, Luca & Carillo, Adriana & Sannino, Gianmaria, 2013. "Wave energy resource assessment in the Mediterranean, the Italian perspective," Renewable Energy, Elsevier, vol. 50(C), pages 938-949.
    15. Hammar, Linus & Ehnberg, Jimmy & Mavume, Alberto & Cuamba, Boaventura C. & Molander, Sverker, 2012. "Renewable ocean energy in the Western Indian Ocean," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4938-4950.
    16. Gunn, Kester & Stock-Williams, Clym, 2012. "Quantifying the global wave power resource," Renewable Energy, Elsevier, vol. 44(C), pages 296-304.
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