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Comparison of wave energy flux for northern, central, and southern coast of California based on long-term statistical wave data

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  • Beyene, Asfaw
  • Wilson, James H.

Abstract

California's pacific coast stretches roughly over 11.5 latitudinal degrees, extending from about 32.5°N to 44°N. There is nearly 900nm of California coastline offering superior opportunity for wave energy use. The longitudinal position of the coast shifts eastward at two distinct locations: Punta Gorda just south of Cape Mendecino in the north and Point Conception in the south. The change in longitudinal orientation in southern California also coincides with significant change in California's bathymetry. The tilts in the longitudinal coastal lines at the two points also define California wave zones into three areas: the short coastal line north of Punta Gorda, the long north and middle line between the two points, and the short line of the heavily populated southern coast. The northern and central zones are characterized by high waves of relatively low frequency; the southern coast is characterized by low waves of higher frequency. This paper compares California's WEC potential for these three coastal zones.

Suggested Citation

  • Beyene, Asfaw & Wilson, James H., 2006. "Comparison of wave energy flux for northern, central, and southern coast of California based on long-term statistical wave data," Energy, Elsevier, vol. 31(12), pages 1856-1869.
    • Handle: RePEc:eee:energy:v:31:y:2006:i:12:p:1856-1869
    DOI: 10.1016/j.energy.2005.08.008
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    Cited by:

    1. Iglesias, G. & Carballo, R., 2011. "Choosing the site for the first wave farm in a region: A case study in the Galician Southwest (Spain)," Energy, Elsevier, vol. 36(9), pages 5525-5531.
    2. Ahn, Seongho & Haas, Kevin A. & Neary, Vincent S., 2019. "Wave energy resource classification system for US coastal waters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 54-68.
    3. Rusu, Eugen & Onea, Florin, 2013. "Evaluation of the wind and wave energy along the Caspian Sea," Energy, Elsevier, vol. 50(C), pages 1-14.
    4. Seongho Ahn & Kevin A. Haas & Vincent S. Neary, 2020. "Dominant Wave Energy Systems and Conditional Wave Resource Characterization for Coastal Waters of the United States," Energies, MDPI, vol. 13(12), pages 1-26, June.
    5. Lenee-Bluhm, Pukha & Paasch, Robert & Özkan-Haller, H. Tuba, 2011. "Characterizing the wave energy resource of the US Pacific Northwest," Renewable Energy, Elsevier, vol. 36(8), pages 2106-2119.
    6. Sierra, J.P. & Mösso, C. & González-Marco, D., 2014. "Wave energy resource assessment in Menorca (Spain)," Renewable Energy, Elsevier, vol. 71(C), pages 51-60.
    7. Ozkan, Cigdem & Mayo, Talea, 2019. "The renewable wave energy resource in coastal regions of the Florida peninsula," Renewable Energy, Elsevier, vol. 139(C), pages 530-537.
    8. 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).
    9. Carballo, R. & Iglesias, G., 2013. "Wave farm impact based on realistic wave-WEC interaction," Energy, Elsevier, vol. 51(C), pages 216-229.
    10. Teixeira, Paulo R.F. & Davyt, Djavan P. & Didier, Eric & Ramalhais, Rubén, 2013. "Numerical simulation of an oscillating water column device using a code based on Navier–Stokes equations," Energy, Elsevier, vol. 61(C), pages 513-530.
    11. Wu, Shuping & Liu, Chuanyu & Chen, Xinping, 2015. "Offshore wave energy resource assessment in the East China Sea," Renewable Energy, Elsevier, vol. 76(C), pages 628-636.
    12. Zhou, Guoqing & Huang, Jingjin & Zhang, Guangyun, 2015. "Evaluation of the wave energy conditions along the coastal waters of Beibu Gulf, China," Energy, Elsevier, vol. 85(C), pages 449-457.
    13. Chen, Xinping & Wang, Kaimin & Zhang, Zenghai & Zeng, Yindong & Zhang, Yao & O'Driscoll, Kieran, 2017. "An assessment of wind and wave climate as potential sources of renewable energy in the nearshore Shenzhen coastal zone of the South China Sea," Energy, Elsevier, vol. 134(C), pages 789-801.

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