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Journal ArticleDOI

22-Year wave energy hindcast for the China East Adjacent Seas

TLDR
In this article, the third generation wave model SWAN was used to simulate wave parameters of the China East Adjacent Seas (CEAS) including Bohai, Yellow and East China Sea for the 22 years period ranging from 1990.12.1 to 2011.
About
This article is published in Renewable Energy.The article was published on 2014-11-01. It has received 61 citations till now. The article focuses on the topics: Hindcast & Wave model.

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Citations
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Journal ArticleDOI

Wave power variability over the northwest European shelf seas

TL;DR: In this paper, the authors apply the third-generation wave model SWAN (Simulating Waves Nearshore) at high resolution to assess the wave resource of the northwest European shelf seas, an area where many wave energy test sites exist, and where many WEC projects are under development.
Journal ArticleDOI

Offshore wave energy resource assessment in the East China Sea

TL;DR: In this paper, the authors assessed the offshore wave energy resource in the East China Sea (ECS) off the coast of the southern East China is assessed using wave buoy data covering the period of 2011−2013.
Journal ArticleDOI

Wave energy assessment in the China adjacent seas on the basis of a 20-year SWAN simulation with unstructured grids

TL;DR: In this article, a 20-year hindcast was performed to simulate the wave field in the China adjacent seas, including the Bohai Sea, Yellow Sea, East China Sea, as well as the northern South China Sea.
Journal ArticleDOI

Numerical modelling of the nearshore wave energy resources of Shandong peninsula, China

TL;DR: In this article, the third generation wave model SWAN was used to simulate wave parameters of the Shandong peninsula in China for 16 years (1996-2011) and the wind parameters were obtained by the Weather Research & Forecasting Model (WRF).
Journal ArticleDOI

Long-term wind and wave energy resource assessment in the South China sea based on 30-year hindcast data

TL;DR: In this paper, the long-term wind and wave characteristics, and their associated stored power, are investigated in the South China Sea (SCS) from 1986 to 2015, and the spatio-temporal patterns of annual, seasonal and monthly averaged wind fields and wind power density, significant wave heights, and wave potential are presented using the 30-year simulated results.
References
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Journal ArticleDOI

Wave energy utilization: A review of the technologies

TL;DR: In this article, the development of wave energy utilization since the 1970s is discussed, with a focus on the characterization of the wave energy resource; theoretical background, with especial relevance to hydrodynamics of wave absorption and control; how a large range of devices kept being proposed and studied, and how such devices can be organized into classes; the conception, design, model-testing, construction and deployment into real sea of prototypes.
Journal ArticleDOI

A third‐generation wave model for coastal regions: 2. Verification

TL;DR: In this article, a third-generation spectral wave model for small-scale, coastal regions with shallow water, (barrier) islands, tidal flats, local wind, and ambient currents is verified in stationary mode with measurements in five real field cases.

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.
Book

Waves in Ocean Engineering

M J Tucker, +1 more
TL;DR: In this paper, the entire field of wave studies that is of interest to applied oceanographers and ocean/marine engineers is covered, including remote sensing, analysis and interpretation of wave data, estimating the properties of the extreme design wave, as well as of the generality of waves for fatigue calculations, waves in finite depth, wave generation by wind or wave forecasting models; nonlinear effects; and errors and uncertainties in wave data.
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