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Numerical wave modeling for operational and survival analyses of wave energy converters at the US Navy Wave Energy Test Site in Hawaii

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  • Li, Ning
  • Cheung, Kwok Fai
  • Cross, Patrick

Abstract

The US Navy Wave Energy Test Site (WETS) is currently operating three grid-connected berths off Marine Corps Base Hawaii in support of technological development through scaled-model testing and pre-commercial prototyping. The location on the east shore of Oahu is open to year-round wind waves and seasonal north swells as well as severe seas from subtropical systems and hurricanes. We have assembled a spectral wave model system comprising WAVEWATCH III and SWAN on a hierarchy of global, regional, and nearshore computational grids. With wind forcing from global forecast and reanalysis datasets as well as their regional downscaling, the system produces operational 7-day wave forecasts and a long-term hindcast. The daily forecasts, validated with real-time buoy measurements, facilitate safe deployment, operation, and retrieval of wave energy converters (WECs). The wave hindcast from 1979 to 2017 defines the intra- and inter-annual variations for statistical analysis of sea states and energy resources. Due to limited occurrences of hurricanes in Hawaii waters, their wind forcing is determined parametrically with simulated tracks from climate model downscaling. Systematic analysis of the hindcast and simulation datasets provides significant wave heights from trade winds, swells, subtropical systems, and hurricanes with return periods up to 100 years for WECs survival analysis.

Suggested Citation

  • Li, Ning & Cheung, Kwok Fai & Cross, Patrick, 2020. "Numerical wave modeling for operational and survival analyses of wave energy converters at the US Navy Wave Energy Test Site in Hawaii," Renewable Energy, Elsevier, vol. 161(C), pages 240-256.
    • Handle: RePEc:eee:renene:v:161:y:2020:i:c:p:240-256
    DOI: 10.1016/j.renene.2020.06.089
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    References listed on IDEAS

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    1. 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.
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    Cited by:

    1. Zhongliang Meng & Yanjun Liu & Jian Qin & Shumin Sun, 2021. "Mooring Angle Study of a Horizontal Rotor Wave Energy Converter," Energies, MDPI, vol. 14(2), pages 1-14, January.
    2. Zhongliang Meng & Yanjun Liu & Jian Qin & Yun Chen, 2020. "Mathematical Modeling and Experimental Verification of a New Wave Energy Converter," Energies, MDPI, vol. 14(1), pages 1-13, December.
    3. Li, Ning & García-Medina, Gabriel & Cheung, Kwok Fai & Yang, Zhaoqing, 2021. "Wave energy resources assessment for the multi-modal sea state of Hawaii," Renewable Energy, Elsevier, vol. 174(C), pages 1036-1055.
    4. Huang, Weinan & Dong, Sheng, 2021. "Improved short-term prediction of significant wave height by decomposing deterministic and stochastic components," Renewable Energy, Elsevier, vol. 177(C), pages 743-758.
    5. Coe, Ryan G. & Ahn, Seongho & Neary, Vincent S. & Kobos, Peter H. & Bacelli, Giorgio, 2021. "Maybe less is more: Considering capacity factor, saturation, variability, and filtering effects of wave energy devices," Applied Energy, Elsevier, vol. 291(C).
    6. Zhongliang Meng & Yun Chen & Shizhen Li, 2022. "The Shape Optimization and Experimental Research of Heave Plate Applied to the New Wave Energy Converter," Energies, MDPI, vol. 15(4), pages 1-12, February.

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