Journal ArticleDOI
Nearshore wave energy resource characterization along the East Coast of the United States
TLDR
In this article, a feasibility level nearshore wave energy resource characterization is conducted for the East Coast of the United States using a 32-year hindcast from a high-resolution unstructured-grid Simulating Waves Nearshore (SWAN) model with a spatial resolution of 200m along the coastline.About:
This article is published in Renewable Energy.The article was published on 2021-07-01. It has received 20 citations till now. The article focuses on the topics: Wave power & Hindcast.read more
Citations
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Random seas and design of maritime structures
TL;DR: Theoretical Description of Random Sea Waves Statistical Theory of Irregular Waves Techniques of Random Wave Analysis 2D Computation of Wave Transformation with Random Breaking and Nearshore Currents Statistical Analysis of Extreme Waves Prediction and Control of Beach Deformation Processes.
Journal ArticleDOI
Development and calibration of a high-resolution model for the Gulf of Mexico, Puerto Rico, and the U.S. Virgin Islands: Implication for wave energy resource characterization
TL;DR: In this article, a high-resolution, unstructured Simulating WAves Nearshore (SWAN) model with a resolution of 200m within 20 km of the coast was developed to provide a reliable setting for a long-term wave energy characterization of the Gulf of Mexico, Puerto Rico, and the U.S. Virgin Islands.
Journal ArticleDOI
Global wave energy resource classification system for regional energy planning and project development
TL;DR: In this paper , a wave energy resource classification system for regional energy planning and wave energy converter (WEC) project development has been proposed, which considers combinations of three different wave power classifications: total wave power, frequency-constrained wave power and frequency-directionally constrained wave power.
Global Wave Energy Resource Classification System for Regional Energy Planning and Project Development
Journal ArticleDOI
A regional wind wave prediction surrogate model based on CNN deep learning network
TL;DR: Wang et al. as mentioned in this paper proposed a regional wind wave prediction surrogate model based on a convolutional neural network (CNN), which takes historical wind and wave data as input to realize the prediction of current waves.
References
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Journal ArticleDOI
A Global Climatology of Surface Wind and Wind Stress Fields from Eight Years of QuikSCAT Scatterometer Data
TL;DR: The Scatterometer Climatology of Ocean Winds (SCOW) atlas as mentioned in this paper consists of 12 variables, including wind stress and wind stress derivative (curl and divergence) fields.
Book
Random seas and design of maritime structures
TL;DR: Theoretical Description of Random Sea Waves Statistical Theory of Irregular Waves Techniques of Random Wave Analysis 2D Computation of Wave Transformation with Random Breaking and Nearshore Currents Statistical Analysis of Extreme Waves Prediction and Control of Beach Deformation Processes.
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.
Journal ArticleDOI
100-Year Return Value Estimates for Ocean Wind Speed and Significant Wave Height from the ERA-40 Data
S. Caires,Andreas Sterl +1 more
TL;DR: In this article, global estimates of 100-yr return values of wind speed and significant wave height are presented based on the ECMWF 40-yr Re-Analysis (ERA-40) data and are linearly corrected using estimates based on buoy data.
New DNV Recommended Practice DNV-RP-C205 On Environmental Conditions And Environmental Loads
TL;DR: In an ongoing Joint Industry Project, DNV Classification Note 30.5: Environmental Conditions and Environmental Loads is being updated in accordance with the present state-of-the-art and corresponding industry needs and at the same time converted into a DNV Recommended Practice DNV-RP-C205 as mentioned in this paper.
Related Papers (5)
Development and validation of a high-resolution regional wave hindcast model for U.S. West Coast wave resource characterization
Wave Energy Assessments in the Coastal Environment of Portugal Continental
Eugen Rusu,C. Guedes Soares +1 more