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.

Data and Resources

Field Value
accessLevel public
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datagov_dedupe_retained 20250120171954
identifier https://data.openei.org/submissions/7980
issued 2020-08-26T06:00:00Z
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license https://creativecommons.org/licenses/by/4.0/
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programCode {019:009}
projectLead Bill McShane
projectNumber EE0007173
projectTitle Development of Optimal Control System for Three Different WEC Devices
publisher Re Vision Consulting
resource-type Dataset
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Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • at-sea
  • causal-control
  • control
  • controls-optimization
  • cost-assessment
  • economics
  • energy
  • feed-back
  • feed-forward
  • feedback-control
  • heaving
  • hinsdale-wave-research-laboratory
  • hydrokinetic
  • in-ocean-test
  • labview
  • marine
  • mhk
  • model-predictive-control
  • mpc
  • ocean-energy
  • open-water
  • oregon-state-university
  • point-absorber-buoy
  • power
  • power-take-off
  • pto
  • resolute-marine-energy
  • sensitivity
  • surge-converter
  • techno-economic
  • wave
  • wave-prediction-error
  • wec
isopen True
license_id cc-by
license_title Creative Commons Attribution
license_url http://www.opendefinition.org/licenses/cc-by
maintainer Mirko Previsic
maintainer_email mirko@re-vision.net
metadata_created 2025-09-23T21:54:45.927493
metadata_modified 2025-09-23T21:54:45.927500
notes 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.
num_resources 1
num_tags 41
title WEC Controls Optimization Final Report