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WEC Controls Optimization Final Report

Publicly accessible License 

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.

Citation Formats

TY - DATA AB - 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. AU - Previsic, Mirko A2 - Karthikeyan, Anantha DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - KW - MHK KW - Marine KW - Hydrokinetic KW - energy KW - power KW - wave KW - model predictive control KW - MPC KW - causal control KW - feedback control KW - controls optimization KW - WEC KW - open water KW - at-sea KW - feed-forward KW - feed-back KW - control KW - cost assessment KW - economics KW - wave-prediction error KW - heaving KW - point absorber buoy KW - LabVIEW KW - Resolute Marine Energy KW - Ocean Energy KW - Oregon State University KW - Hinsdale Wave Research Laboratory KW - PTO KW - Power take-off KW - sensitivity KW - surge converter KW - techno-economic KW - in-ocean test LA - English DA - 2020/08/26 PY - 2020 PB - Re Vision Consulting T1 - WEC Controls Optimization Final Report UR - https://data.openei.org/submissions/7980 ER -
Export Citation to RIS
Previsic, Mirko, and Anantha Karthikeyan. WEC Controls Optimization Final Report. Re Vision Consulting, 26 August, 2020, MHKDR. https://mhkdr.openei.org/submissions/328.
Previsic, M., & Karthikeyan, A. (2020). WEC Controls Optimization Final Report. [Data set]. MHKDR. Re Vision Consulting. https://mhkdr.openei.org/submissions/328
Previsic, Mirko and Anantha Karthikeyan. WEC Controls Optimization Final Report. Re Vision Consulting, August, 26, 2020. Distributed by MHKDR. https://mhkdr.openei.org/submissions/328
@misc{OEDI_Dataset_7980, title = {WEC Controls Optimization Final Report}, author = {Previsic, Mirko and Karthikeyan, Anantha}, abstractNote = {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.}, url = {https://mhkdr.openei.org/submissions/328}, year = {2020}, howpublished = {MHKDR, Re Vision Consulting, https://mhkdr.openei.org/submissions/328}, note = {Accessed: 2025-05-03} }

Details

Data from Aug 26, 2020

Last updated Jul 28, 2021

Submitted Aug 26, 2020

Organization

Re Vision Consulting

Contact

Mirko Previsic

916.977.3970

Authors

Mirko Previsic

Re Vision Consulting

Anantha Karthikeyan

Re Vision Consulting

DOE Project Details

Project Name Development of Optimal Control System for Three Different WEC Devices

Project Lead Bill McShane

Project Number EE0007173

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