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Wave energy resources assessment for the multi-modal sea state of Hawaii

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  • Li, Ning
  • García-Medina, Gabriel
  • Cheung, Kwok Fai
  • Yang, Zhaoqing

Abstract

This paper describes development and validation of a 32-year wave hindcast for Hawaii as part of the energy resources assessment for the US and affiliated territories. The nested model system comprises structured WAVEWATCH III for the globe and unstructured SWAN around the Hawaiian Islands with wind forcing from the Climate Forecast System Reanalysis and its regional downscaling. The development effort follows the International Electrotechnical Commission (IEC) standards. The hindcast is first validated with buoy measurements in terms of the six IEC wave energy resources parameters. The comparison shows good overall agreement but with greater uncertainties for some of the parameters intended for narrowband spectra. The sea state of Hawaii includes a mix of short-period wind seas, long-period north and south swells as well as waves with moderate periods from multiple sources. We partition the hindcast spectra based on the respective period ranges and directions and validate the partitioned spectral energy and parameters with measured values. The partitioned hindcast spectra allow separate seasonal descriptions of dominant components from wind seas to swells for in-depth understanding of the wave climate and proper categorization of wave energy resources in terms of the six IEC parameters for Hawaii.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:renene:v:174:y:2021:i:c:p:1036-1055
    DOI: 10.1016/j.renene.2021.03.116
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    References listed on IDEAS

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    Cited by:

    1. Li, Ning & García Medina, Gabriel & Yang, Zhaoqing & Cheung, Kwok Fai & Hitzl, David & Chen, Yi-Leng, 2023. "Wave climate and energy resources in the Mariana Islands from a 42-year high-resolution hindcast," Renewable Energy, Elsevier, vol. 215(C).
    2. Yang, Zhaoqing & García Medina, Gabriel & Neary, Vincent S. & Ahn, Seongho & Kilcher, Levi & Bharath, Aidan, 2023. "Multi-decade high-resolution regional hindcasts for wave energy resource characterization in U.S. coastal waters," Renewable Energy, Elsevier, vol. 212(C), pages 803-817.
    3. García Medina, Gabriel & Yang, Zhaoqing & Li, Ning & Cheung, Kwok Fai & Lutu-McMoore, Elinor, 2023. "Wave climate and energy resources in American Samoa from a 42-year high-resolution hindcast," Renewable Energy, Elsevier, vol. 210(C), pages 604-617.
    4. Pasta, Edoardo & Faedo, Nicolás & Mattiazzo, Giuliana & Ringwood, John V., 2023. "Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    5. Rusu, Liliana, 2022. "The near future expected wave power in the coastal environment of the Iberian Peninsula," Renewable Energy, Elsevier, vol. 195(C), pages 657-669.
    6. Ruth Branch & Gabriel García-Medina & Zhaoqing Yang & Taiping Wang & Fadia Ticona Rollano & Lucia Hosekova, 2021. "Modeling Sea Ice Effects for Wave Energy Resource Assessments," Energies, MDPI, vol. 14(12), pages 1-15, June.

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