Nearshore wave energy resource characterization along the East Coast of the United States

Ahn, S.; Neary, V.; Allahdadi, M.; He, R. (2021). Nearshore wave energy resource characterization along the East Coast of the United States. Renewable Energy, 172, 1212-1224.https://doi.org/10.1016/j.renene.2021.03.037

@article{Ahn-2021-9811,
author = {Ahn, S and Neary, V and Allahdadi, M and He, R},
title = {Nearshore wave energy resource characterization along the East Coast of the United States},
journal = {Renewable Energy},
year = {2021},
month = {mar},
publisher = {Elsevier},
volume = {172},
pages = {1212--1224},
doi = {10.1016/j.renene.2021.03.037},
url = {https://www.sciencedirect.com/science/article/pii/S0960148121003918},
keywords = {Wave, Modeling, Extreme Events, Site Characterization},
}

TY - JOUR
TI - Nearshore wave energy resource characterization along the East Coast of the United States
AU - Ahn, S
AU - Neary, V
AU - Allahdadi, M
AU - He, R
T2 - Renewable Energy
AB - A feasibility level nearshore wave energy resource characterization is conducted for the East Coast of the United States using a 32-year (1979 – 2010) hindcast from a high-resolution unstructured-grid Simulating Waves Nearshore (SWAN) model with a spatial resolution of 200 m along the coastline. Wave energy resource attributes including wave energy potentials, seasonal variability, frequency and directional spreading, and extreme sea states are characterized using a broad range of resource parameters from which opportunities, risks, and constraints for wave energy conversion (WEC) projects are assessed. Cross-shore and alongshore variations of these parameters due to varying wave energy climate and coastline orientation relative to the dominant wave systems are examined. The present study also introduces a zero-crossing method for delineating wave energy climate regions based on a broad range of resource attributes beyond just wave power. Applying this method, eight nearshore wave energy climate regions are delineated for the East Coast; each region with a unique set of resource attributes to inform regional energy planning, WEC project development, conceptual WEC design, and the operation and maintenance of WEC projects.
DA - 2021/03//
PY - 2021
PB - Elsevier
VL - 172
SP - 1212
EP - 1224
UR - https://www.sciencedirect.com/science/article/pii/S0960148121003918
DO - 10.1016/j.renene.2021.03.037
LA - English
KW - Wave
KW - Modeling
KW - Extreme Events
KW - Site Characterization
ER -