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California offshore wind energy potential

Author

Listed:
  • Dvorak, Michael J.
  • Archer, Cristina L.
  • Jacobson, Mark Z.

Abstract

This study combines multi-year mesoscale modeling results, validated using offshore buoys with high-resolution bathymetry to create a wind energy resource assessment for offshore California (CA). The siting of an offshore wind farm is limited by water depth, with shallow water being generally preferable economically. Acceptable depths for offshore wind farms are divided into three categories: ≤20m depth for monopile turbine foundations, ≤50m depth for multi-leg turbine foundations, and ≤200m depth for deep water floating turbines. The CA coast was further divided into three logical areas for analysis: Northern, Central, and Southern CA. A mesoscale meteorological model was then used at high horizontal resolution (5 and 1.67km) to calculate annual 80m wind speeds (turbine hub height) for each area, based on the average of the seasonal months January, April, July, and October of 2005/2006 and the entirety of 2007 (12 months). A 5MW offshore wind turbine was used to create a preliminary resource assessment for offshore CA. Each geographical region was then characterized by its coastal transmission access, water depth, wind turbine development potential, and average 80m wind speed. Initial estimates show that 1.4–2.3GW, 4.4–8.3GW, and 52.8–64.9GW of deliverable power could be harnessed from offshore CA using monopile, multi-leg, and floating turbine foundations, respectively. A single proposed wind farm near Cape Mendocino could deliver an average 800MW of gross renewable power and reduce CA's current carbon emitting electricity generation 4% on an energy basis. Unlike most of California's land based wind farms which peak at night, the offshore winds near Cape Mendocino are consistently fast throughout the day and night during all four seasons.

Suggested Citation

  • Dvorak, Michael J. & Archer, Cristina L. & Jacobson, Mark Z., 2010. "California offshore wind energy potential," Renewable Energy, Elsevier, vol. 35(6), pages 1244-1254.
  • Handle: RePEc:eee:renene:v:35:y:2010:i:6:p:1244-1254
    DOI: 10.1016/j.renene.2009.11.022
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    References listed on IDEAS

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    1. Dhanju, Amardeep & Whitaker, Phillip & Kempton, Willett, 2008. "Assessing offshore wind resources: An accessible methodology," Renewable Energy, Elsevier, vol. 33(1), pages 55-64.
    2. Snyder, Brian & Kaiser, Mark J., 2009. "Ecological and economic cost-benefit analysis of offshore wind energy," Renewable Energy, Elsevier, vol. 34(6), pages 1567-1578.
    3. Pimenta, Felipe & Kempton, Willett & Garvine, Richard, 2008. "Combining meteorological stations and satellite data to evaluate the offshore wind power resource of Southeastern Brazil," Renewable Energy, Elsevier, vol. 33(11), pages 2375-2387.
    4. Yue, Cheng-Dar & Yang, Min-How, 2009. "Exploring the potential of wind energy for a coastal state," Energy Policy, Elsevier, vol. 37(10), pages 3925-3940, October.
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