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Sustainability 2016, 8(12), 1321; doi:10.3390/su8121321

Wave Climate Resource Analysis Based on a Revised Gamma Spectrum for Wave Energy Conversion Technology

1
Department of Mechanical Engineering, University of Louisiana at Lafayette, Lafayette, LA 70504, USA
2
Department of Mechanical Engineering, Mississippi State University, Mississippi State, MS 39760, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Gregorio Iglesias Rodriguez
Received: 11 October 2016 / Revised: 24 November 2016 / Accepted: 8 December 2016 / Published: 14 December 2016
(This article belongs to the Special Issue Wave Energy Converters)
View Full-Text   |   Download PDF [1587 KB, uploaded 14 December 2016]   |  

Abstract

In order to correctly predict and evaluate the response of wave energy converters (WECs), an accurate representation of wave climate resource is crucial. This paper gives an overview of wave resource modeling techniques and applies a methodology to estimate the naturally available and technically recoverable resource in a given deployment site. The methodology was initially developed by the Electric Power Research Institute (EPRI), which uses a modified gamma spectrum to interpret sea state hindcast parameter data produced by National Oceanic and Atmospheric Administration’s (NOAA’s) WaveWatch III. This gamma spectrum is dependent on the calibration of two variables relating to the spectral width parameter and spectral peakedness parameter. In this study, this methodology was revised by the authors to increase its accuracy in formulating wavelength. The revised methodology shows how to assess a given geographic area’s wave resource based on its wave power density and total annual wave energy flux. View Full-Text
Keywords: wave spectra; wave climate analysis; wave power absorption; wave power density; wave energy flux wave spectra; wave climate analysis; wave power absorption; wave power density; wave energy flux
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Pastor, J.; Liu, Y. Wave Climate Resource Analysis Based on a Revised Gamma Spectrum for Wave Energy Conversion Technology. Sustainability 2016, 8, 1321.

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