4.7 Article

Wave energy resources along the Hawaiian Island chain

Journal

RENEWABLE ENERGY
Volume 55, Issue -, Pages 305-321

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.renene.2012.12.030

Keywords

Hawaii; Spectral wave models; Mesoscale model; Wave atlas; Wave energy; Wave power

Funding

  1. Office of Naval Research
  2. development of the wave model package [N00014-02-1-0903]
  3. NOAA Integrated Ocean Observing System Program [NA07NOS4730207]
  4. University of Hawaii
  5. Department of Energy via the Hawaii National Marine Renewable Energy Center [DEFG36-08G018180]
  6. SOEST [8778]
  7. Directorate For Geosciences
  8. Div Atmospheric & Geospace Sciences [1142558] Funding Source: National Science Foundation

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Hawaii's access to the ocean and remoteness from fuel supplies has sparked an interest in ocean waves as a potential resource to meet the increasing demand for sustainable energy. The wave resources include swells from distant storms and year-round seas generated by trade winds passing through the islands. This study produces 10 years of hindcast data from a system of mesoscale atmospheric and spectral wave models to quantify the wind and wave climate as well as nearshore wave energy resources in Hawaii. A global WAVEWATCH III (WW3) model forced by surface winds from the Final Global Tropospheric Analysis (FNL) reproduces the swell and seas from the far field and a nested Hawaii WW3 model with high-resolution winds from the Weather Research Forecast (WRF) model capture the local wave processes. The Simulating Waves Nearshore (SWAN) model nested inside Hawaii WW3 provides data in coastal waters, where wave energy converters are being considered for deployment. The computed wave heights show good agreement with data from satellites and buoys. Bi-monthly median and percentile plots show persistent trade winds throughout the year with strong seasonal variation of the wave climate. The nearshore data shows modulation of the wave energy along the coastline due to the undulating volcanic island bathymetry and demonstrates its importance in selecting suitable sites for wave energy converters. (C) 2013 Elsevier Ltd. All rights reserved.

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