Full long-term design response analysis of a wave energy converter
Abstract
Efficient design of wave energy converters requires an accurate understanding of expected loads and responses during the deployment lifetime of a device. A study has been conducted to better understand best-practices for prediction of design responses in a wave energy converter. A case-study was performed in which a simplified wave energy converter was analyzed to predict several important device design responses. The application and performance of a full long-term analysis, in which numerical simulations were used to predict the device response for a large number of distinct sea states, was studied. Environmental characterization and selection of sea states for this analysis at the intended deployment site were performed using principle-components analysis. The full long-term analysis applied here was shown to be stable when implemented with a relatively low number of sea states and convergent with an increasing number of sea states. As the number of sea states utilized in the analysis was increased, predicted response levels did not change appreciably. Furthermore, uncertainty in the response levels was reduced as more sea states were utilized.
- Authors:
-
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
- Engineering Mechanics Corp. of Columbus, Columbus, OH (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office; USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1406362
- Alternate Identifier(s):
- OSTI ID: 1549326
- Report Number(s):
- SAND-2017-10808J
Journal ID: ISSN 0960-1481; PII: S0960148117309187
- Grant/Contract Number:
- AC04-94AL85000; NA0003525
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Renewable Energy
- Additional Journal Information:
- Journal Volume: 116; Journal Issue: PA; Journal ID: ISSN 0960-1481
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 42 ENGINEERING; Wave energy; Extreme conditions; Design load; Long-term response
Citation Formats
Coe, Ryan G., Michelen, Carlos, Eckert-Gallup, Aubrey, and Sallaberry, Cedric. Full long-term design response analysis of a wave energy converter. United States: N. p., 2017.
Web. doi:10.1016/j.renene.2017.09.056.
Coe, Ryan G., Michelen, Carlos, Eckert-Gallup, Aubrey, & Sallaberry, Cedric. Full long-term design response analysis of a wave energy converter. United States. https://doi.org/10.1016/j.renene.2017.09.056
Coe, Ryan G., Michelen, Carlos, Eckert-Gallup, Aubrey, and Sallaberry, Cedric. Thu .
"Full long-term design response analysis of a wave energy converter". United States. https://doi.org/10.1016/j.renene.2017.09.056. https://www.osti.gov/servlets/purl/1406362.
@article{osti_1406362,
title = {Full long-term design response analysis of a wave energy converter},
author = {Coe, Ryan G. and Michelen, Carlos and Eckert-Gallup, Aubrey and Sallaberry, Cedric},
abstractNote = {Efficient design of wave energy converters requires an accurate understanding of expected loads and responses during the deployment lifetime of a device. A study has been conducted to better understand best-practices for prediction of design responses in a wave energy converter. A case-study was performed in which a simplified wave energy converter was analyzed to predict several important device design responses. The application and performance of a full long-term analysis, in which numerical simulations were used to predict the device response for a large number of distinct sea states, was studied. Environmental characterization and selection of sea states for this analysis at the intended deployment site were performed using principle-components analysis. The full long-term analysis applied here was shown to be stable when implemented with a relatively low number of sea states and convergent with an increasing number of sea states. As the number of sea states utilized in the analysis was increased, predicted response levels did not change appreciably. Furthermore, uncertainty in the response levels was reduced as more sea states were utilized.},
doi = {10.1016/j.renene.2017.09.056},
journal = {Renewable Energy},
number = PA,
volume = 116,
place = {United States},
year = {Thu Sep 21 00:00:00 EDT 2017},
month = {Thu Sep 21 00:00:00 EDT 2017}
}
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Works referencing / citing this record:
Alternative approaches to develop environmental contours from metocean data
journal, October 2018
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- Journal of Ocean Engineering and Marine Energy, Vol. 4, Issue 4