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WEC Controls Optimization Final Report
The over-arching project objective is to fully develop and validate optimal controls frameworks that can subsequently be applied widely to different WEC devices and concepts. Optimal controls of WEC devices represent a fundamental building block for WEC designers that must be considered as an integral part of every stage of device development. Using a building-blocks approach to optimal controls development, this effort will result in the full development of a feed-forward and feed-back control approach and a wave prediction system.
Phase I focused primarily on numerical offline optimization and validation using wave tank testing of three industry partners? WEC devices, including CalWave, Ocean Energy, and Resolute Marine Energy. These industry partnerships allowed us to identify optimal control strategies for these different WEC topologies at different maturity levels. Phase II focused on demonstrating an integrated control system on a custom-built prototype for at-sea testing. A secondary focus during phase II is to adapt our systems identification, controls and wave-prediction frameworks to become more robust and comprehensive in respect to capability, robustness, and reliability. RE Vision Consulting leads this project and has compiled the final public domain report included in this submission.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
]
|
| contactPoint |
{
"fn": "Mirko Previsic",
"@type": "vcard:Contact",
"hasEmail": "mailto:mirko@re-vision.net"
}
|
| dataQuality |
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| description | The over-arching project objective is to fully develop and validate optimal controls frameworks that can subsequently be applied widely to different WEC devices and concepts. Optimal controls of WEC devices represent a fundamental building block for WEC designers that must be considered as an integral part of every stage of device development. Using a building-blocks approach to optimal controls development, this effort will result in the full development of a feed-forward and feed-back control approach and a wave prediction system. Phase I focused primarily on numerical offline optimization and validation using wave tank testing of three industry partners? WEC devices, including CalWave, Ocean Energy, and Resolute Marine Energy. These industry partnerships allowed us to identify optimal control strategies for these different WEC topologies at different maturity levels. Phase II focused on demonstrating an integrated control system on a custom-built prototype for at-sea testing. A secondary focus during phase II is to adapt our systems identification, controls and wave-prediction frameworks to become more robust and comprehensive in respect to capability, robustness, and reliability. RE Vision Consulting leads this project and has compiled the final public domain report included in this submission. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Controls Optimization Final Technical Report.pdf",
"format": "pdf",
"accessURL": "https://mhkdr.openei.org/files/328/7173%20Final%20Report%20Public%20For%20PMC%20MP%208-26-20.pdf",
"mediaType": "application/pdf",
"description": "Final report describing outcomes of:
1. Optimizing the control system for 3 different WEC devices
2. Causal and Non-Causal controls laws
3. Deterministic Sea Wave Prediction (DSWP)"
}
]
|
| identifier | https://data.openei.org/submissions/7980 |
| issued | 2020-08-26T06:00:00Z |
| keyword |
[
"Hinsdale Wave Research Laboratory",
"Hydrokinetic",
"LabVIEW",
"MHK",
"MPC",
"Marine",
"Ocean Energy",
"Oregon State University",
"PTO",
"Power take-off",
"Resolute Marine Energy",
"WEC",
"at-sea",
"causal control",
"control",
"controls optimization",
"cost assessment",
"economics",
"energy",
"feed-back",
"feed-forward",
"feedback control",
"heaving",
"in-ocean test",
"model predictive control",
"open water",
"point absorber buoy",
"power",
"sensitivity",
"surge converter",
"techno-economic",
"wave",
"wave-prediction error"
]
|
| landingPage | https://mhkdr.openei.org/submissions/328 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2021-07-28T16:30:24Z |
| programCode |
[
"019:009"
]
|
| projectLead | Bill McShane |
| projectNumber | EE0007173 |
| projectTitle | Development of Optimal Control System for Three Different WEC Devices |
| publisher |
{
"name": "Re Vision Consulting",
"@type": "org:Organization"
}
|
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|
| title | WEC Controls Optimization Final Report |
