Development of Classification Systems for Wave Energy Resources and WEC Technologies
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. These conference papers are:
Neary, V.S., Coe, R.G., Cruz, J., Haas, K., Bacelli, G., Debruyne, Y., Ahn, S., Nevarez, V. (2017) Classification systems for wave energy resources and WEC technologies. Proceedings of 12th European Wave and Tidal Energy Conference Series (EWTEC 2017), Cork, Ireland, August 27-September 1, 2017
Haas, K., Ahn, S., Neary, V.S., and S. Bredin (2017) Development of a wave energy classification system. Proceedings of the 5th Marine Energy Technology Symposium (METS2017), Washington, D.C., May 1-3, 2017
Citation Formats
Sandia National Laboratories. (2017). Development of Classification Systems for Wave Energy Resources and WEC Technologies [data set]. Retrieved from https://dx.doi.org/10.15473/1498794.
Neary, Vincent, Haas, Kevin, Ahn, Seongho, Bredin, Sara, Coe, Ryan, Bacelli, Giorgio, Nevarez, Victor, Cruz, Joao, and Debruyne, Yannick. Development of Classification Systems for Wave Energy Resources and WEC Technologies. United States: N.p., 30 Jun, 2017. Web. doi: 10.15473/1498794.
Neary, Vincent, Haas, Kevin, Ahn, Seongho, Bredin, Sara, Coe, Ryan, Bacelli, Giorgio, Nevarez, Victor, Cruz, Joao, & Debruyne, Yannick. Development of Classification Systems for Wave Energy Resources and WEC Technologies. United States. https://dx.doi.org/10.15473/1498794
Neary, Vincent, Haas, Kevin, Ahn, Seongho, Bredin, Sara, Coe, Ryan, Bacelli, Giorgio, Nevarez, Victor, Cruz, Joao, and Debruyne, Yannick. 2017. "Development of Classification Systems for Wave Energy Resources and WEC Technologies". United States. https://dx.doi.org/10.15473/1498794. https://mhkdr.openei.org/submissions/231.
@div{oedi_231, title = {Development of Classification Systems for Wave Energy Resources and WEC Technologies}, author = {Neary, Vincent, Haas, Kevin, Ahn, Seongho, Bredin, Sara, Coe, Ryan, Bacelli, Giorgio, Nevarez, Victor, Cruz, Joao, and Debruyne, Yannick.}, abstractNote = {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. These conference papers are:
Neary, V.S., Coe, R.G., Cruz, J., Haas, K., Bacelli, G., Debruyne, Y., Ahn, S., Nevarez, V. (2017) Classification systems for wave energy resources and WEC technologies. Proceedings of 12th European Wave and Tidal Energy Conference Series (EWTEC 2017), Cork, Ireland, August 27-September 1, 2017
Haas, K., Ahn, S., Neary, V.S., and S. Bredin (2017) Development of a wave energy classification system. Proceedings of the 5th Marine Energy Technology Symposium (METS2017), Washington, D.C., May 1-3, 2017}, doi = {10.15473/1498794}, url = {https://mhkdr.openei.org/submissions/231}, journal = {}, number = , volume = , place = {United States}, year = {2017}, month = {06}}
https://dx.doi.org/10.15473/1498794
Details
Data from Jun 30, 2017
Last updated Jun 30, 2020
Submitted Sep 30, 2017
Organization
Sandia National Laboratories
Contact
Vincent Neary
505.288.2638
Authors
Keywords
MHK, Marine, Hydrokinetic, energy, power, wave energy resource classification, wave energy converter classification, wave, WEC, ocean, climate, classification, site, conditions, engineering, design, resource, technology, wave height, extreme, statistics, data, trend, regional, geographic, distribution, system, characterizationDOE Project Details
Project Name Model Validation and Site Characterization for Early Deployment MHK Sites and Establishment of Wave Classification Scheme
Project Lead Joel Cline
Project Number FY17 AOP 141701