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SEM-REV energy site extreme wave prediction

Author

Listed:
  • Gaidai, Oleg
  • Ji, Chunyan
  • Kalogeri, Christina
  • Gao, Junliang

Abstract

Accurate estimation of extreme wave conditions is critical for offshore renewable energy activities and applications. Wave power is the transport of energy by wind waves, and the capture of that energy to do useful work. Wave energy converter (WEC) devices are designed to sustain the wave-induced loads that they experience during both operational and survival sea states. The extreme values of these forces are often a key cost driver for WEC designs. These extreme loads often occur during severe storms; therefore careful examination of harsh wave conditions during the device design process is needed. Consequently the development of a specific extreme condition modeling method is essential.

Suggested Citation

  • Gaidai, Oleg & Ji, Chunyan & Kalogeri, Christina & Gao, Junliang, 2017. "SEM-REV energy site extreme wave prediction," Renewable Energy, Elsevier, vol. 101(C), pages 894-899.
    • Handle: RePEc:eee:renene:v:101:y:2017:i:c:p:894-899
    DOI: 10.1016/j.renene.2016.09.053
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    References listed on IDEAS

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    1. Larsén, Xiaoli Guo & Kalogeri, Christina & Galanis, George & Kallos, George, 2015. "A statistical methodology for the estimation of extreme wave conditions for offshore renewable applications," Renewable Energy, Elsevier, vol. 80(C), pages 205-218.
    2. N. Teena & V. Sanil Kumar & K. Sudheesh & R. Sajeev, 2012. "Statistical analysis on extreme wave height," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 223-236, October.
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