A common platform of wind and wave energy conversion should reduce upfront as well as maintenance costs relative to wave and offshore wind energy converters installed separately. For this cost reduction to happen, temporally integrated resource estimate of wind and wave at a given coordinate is desirable so that areas of high wind and wave energy convergences can be identified. In this paper, a combined energy resource potential of wave and wind modeling procedure is shown using the California coast as a case study, mapped for three distinct years: a “calm” year, an El Nino year, and a recent “normal” year allowing model analyses of a range of possible weather conditions and sea states along the coastline.
Integrated Resource Mapping of Wave and Wind Energy
San Diego State University,
5500 Campanile Drive,
San Diego, CA 92182
Contributed by the Advanced Energy Systems Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received March 2, 2015; final manuscript received September 18, 2015; published online October 16, 2015. Editor: Hameed Metghalchi.
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Anderson, M., and Beyene, A. (October 16, 2015). "Integrated Resource Mapping of Wave and Wind Energy." ASME. J. Energy Resour. Technol. January 2016; 138(1): 011203. https://doi.org/10.1115/1.4031673
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