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Research Papers: Alternative Energy Sources

Integrated Resource Mapping of Wave and Wind Energy

[+] Author and Article Information
Michael Anderson

Department of Mechanical Engineering,
San Diego State University,
5500 Campanile Drive,
San Diego, CA 92182

Asfaw Beyene

Fellow ASME
Department of Mechanical Engineering,
San Diego State University,
5500 Campanile Drive,
San Diego, CA 92182
e-mail: abeyene@mail.sdsu.edu

1Corresponding author.

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.

J. Energy Resour. Technol 138(1), 011203 (Oct 16, 2015) (8 pages) Paper No: JERT-15-1095; doi: 10.1115/1.4031673 History: Received March 02, 2015; Revised September 18, 2015

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.

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Figures

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Fig. 1

California coast line with superimposed cells [17]

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Fig. 2

Schematic of modeling process

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Fig. 3

Buoy locations superimposed on a map from World Sites Atlas

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Fig. 4

Integrated wind and wave energy conversion platform

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Fig. 5

Averaged monthly wave height

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Fig. 6

Averaged monthly wind velocity

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Fig. 7

Yearly calculated wind and wave energy average for 1989

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Fig. 8

Yearly calculated wind and wave energy average for 2008

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Fig. 9

Yearly calculated wind and wave energy average for 2011

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Fig. 10

Average yearly integrated energy by location and year

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