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Development of a wave energy classification system

Conference Paper

Title: Development of a wave energy classification system
Author:
Haas, K.; Ahn, S.; Neary, V.; Bredin, S.
Publication Date:
Event Name:
5th Marine Energy Technology Symposium (METS)
Pages:
4
Publisher:
National Hydropower Association
Affiliation:
Georgia Institute of Technology, Sandia National Laboratories
Technology:
Wave
Collection Method:
Modeling
Resource:
Site Characterization
Signature Project:
Marine Energy Resource Assessment and Characterization
Language:
English

Document Access

Website:
External Link
Attachment:
Access File
Notice: This material may be protected by Copyright Law.

Citation

Haas, K.; Ahn, S.; Neary, V.; Bredin, S. (2017). Development of a wave energy classification system. Paper presented at 5th Marine Energy Technology Symposium (METS)
@conference{Haas-2017-9567,
author = {Haas, K and Ahn, S and Neary, V and Bredin, S},
title = {Development of a wave energy classification system},
year = {2017},
month = {may},
series = {5th Marine Energy Technology Symposium (METS)},
pages = {4},
publisher = {National Hydropower Association},
url = {https://mhkdr.openei.org/submissions/231},
keywords = {Wave, Modeling, Site Characterization},
}
Export Citation to BibTex
TY - CONF
TI - Development of a wave energy classification system
AU - Haas, K
AU - Ahn, S
AU - Neary, V
AU - Bredin, S
T2 - 5th Marine Energy Technology Symposium (METS)
AB - The submission includes wave resource classification reports, summary of classification statistics and regional trends, and data files with classification statistics for selected sites for extreme significant wave height. Two conference papers were uploaded that include classification metrics and geographic distributions for US coastal waters.
DA - 2017/05//
PY - 2017
SP - 4
PB - National Hydropower Association
UR - https://mhkdr.openei.org/submissions/231
LA - English
KW - Wave
KW - Modeling
KW - Site Characterization
ER -
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Abstract

The submission includes wave resource classification reports, summary of classification statistics and regional trends, and data files with classification statistics for selected sites for extreme significant wave height. Two conference papers were uploaded that include classification metrics and geographic distributions for US coastal waters. 

Development of a wave energy classification system is located in United States of America.