Journal ArticleDOI
Characterizing the wave energy resource of the US Pacific Northwest
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TLDR
In this article, the authors assessed and characterized the substantial wave energy resource of the US Pacific Northwest (i.e., off the coasts of Washington, Oregon and N. California) and found that the sea states with the greatest significant wave heights contribute little to the annual energy, but are critically important when considering reliability and survivability of ocean wave energy converters.About:
This article is published in Renewable Energy.The article was published on 2011-08-01. It has received 149 citations till now. The article focuses on the topics: Wave power & Significant wave height.read more
Citations
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The economics of wave energy: A review
S. Astariz,Gregorio Iglesias +1 more
TL;DR: In this paper, the authors review all the factors that must be considered in an economic analysis of wave energy, including a number of elements that are usually overlooked, and characterise the direct and indirect costs of a wave farm, as well as its prospective incomes.
Journal ArticleDOI
Wave energy device and breakwater integration: A review
M. A. Mustapa,Omar Yaakob,Yasser M. Ahmed,Yasser M. Ahmed,Chang-Kyu Rheem,Kho King Koh,Faizul Amri Adnan +6 more
TL;DR: In this paper, the authors bring the latest status on integration of wave energy device with other marine facilities, which is the breakwater structure that may possibly aid to cost sharing, and show that the integration opens up a new dimension to acknowledge the technology harnessing ocean wave, especially for the Asian countries experiencing medium wave condition.
Journal ArticleDOI
Variability assessment and forecasting of renewables: A review for solar, wind, wave and tidal resources
Joakim Widén,Nicole Carpman,Valeria Castellucci,David Lingfors,Jon Olauson,Flore Remouit,Mikael Bergkvist,Mårten Grabbe,Rafael Waters +8 more
TL;DR: Variability Assessment and Forecasting of Renewables : A Review for Solar, Wind, Wave and Tidal Resources as discussed by the authors, a review for solar, wind, wave and tide resources.
Journal ArticleDOI
Ocean Wave Energy Converters: Status and Challenges
Tunde Aderinto,Hua Li +1 more
TL;DR: In this paper, the background of wave energy harvesting technology, its evolution, and the present status of the industry is reviewed, and solutions are suggested while discussing the challenges in order to increase awareness and investment in wave energy industry as a whole.
Journal ArticleDOI
Ocean wave energy in the United States: Current status and future perspectives
TL;DR: In this article, the authors provide a concise review of the current state of ocean wave energy conversion technologies and industry status in the United States including research and development as well as commercial activities and governmental support.
References
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Book
Waves in Oceanic and Coastal Waters
TL;DR: The SWAN wave model as discussed by the authors is a wave model based on linear wave theory (SWAN) for oceanic and coastal waters, and it has been shown to be effective in detecting ocean waves.
Journal ArticleDOI
Observations of the Directional Spectrum of Ocean WavesUsing a Cloverleaf Buoy
Hisashi Mitsuyasu,Fukuzo Tasai,Toshiko Suhara,Shinjiro Mizuno,Makoto Ohkusu,Tadao Honda,Kunio Rikiishi +6 more
TL;DR: In this article, it was shown that the directional wave spectrum can be approximated by the product of the frequencyspectrum and a unimodal angular distribution with mean direction approximately equal to that of the wind, and that various forms of frequency spectra exist, even in relatively simple wave systems, dependingon their generating conditions.
Book
Wind Generated Ocean Waves
TL;DR: In this paper, the authors introduce wave theory, wave transformation limitations of linear wave theory and dimensionless scaling growth curves for energy and peak frequency one-dimensional spectrum directional spreading, and finite depth effects.
A global wave energy resource assessment
TL;DR: In this article, the authors present results from an investigation of global wave energy resources derived from analysis of wave climate predictions generated by the WAVEWATCH-III (NWW3) wind-wave model spanning the 10 year period from 1997 to 2006.