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The wave energy converter control competition (WECCCOMP): Wave energy control algorithms compared in both simulation and tank testing

Journal Article · · Applied Ocean Research
 [1];  [2];  [3];  [4];  [5];  [5];  [5];  [6];  [6];  [7];  [7];  [7];  [8];  [9]
  1. Maynooth University (Ireland)
  2. National Renewable Energy Laboratory (NREL), Golden, CO (United States)
  3. Aalborg University (Denmark)
  4. National Yang Ming Chiao Tung University, Taipei (Taiwan)
  5. Sandia National Laboratory (SNL-NM), Albuquerque, NM (United States)
  6. University of Hull (United Kingdom)
  7. IFP Energies Nouvelles, Rueil-Malmaison (France)
  8. Northwest Energy Innovations, Portland, OR (United States)
  9. Polytechnic University of Turin (Italy)

The wave energy control competition established a benchmark problem which was offered as an open challenge to the wave energy system control community. The competition had two stages: In the first stage, competitors used a standard wave energy simulation platform (WEC-Sim) to evaluate their controllers while, in the second stage, competitors were invited to test their controllers in a real-time implementation on a prototype system in a wave tank. The performance function used was based on converted energy across a range of standard sea states, but also included aspects related to economic performance, such as peak/average power, peak force, etc. This paper compares simulated and experimental results and, in particular, examines if the results obtained in a linear system simulation are borne out in reality. Overall, within the scope of the device tested, the range of sea states employed, and the performance metric used, the conclusion is that high-performance WEC controllers work well in practice, with good carry-over from simulation to experimentation. However, the availability of a good WEC mathematical model is deemed to be crucial.

Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office; USDOE National Nuclear Security Administration (NNSA)
Grant/Contract Number:
AC36-08GO28308; NA0003525
OSTI ID:
1995177
Alternate ID(s):
OSTI ID: 2311608
Report Number(s):
NREL/JA--5000-77954; MainId:31863; UUID:0c51a234-67d6-42b5-ad0b-c3c2915cbfd5; MainAdminID:69893
Journal Information:
Applied Ocean Research, Journal Name: Applied Ocean Research Vol. 138; ISSN 0141-1187
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (33)

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  • ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering, Volume 9B: Ocean Renewable Energy https://doi.org/10.1115/OMAE2014-24312
conference October 2014
Numerical Model Development and Validation for the WECCCOMP Control Competition
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conference September 2018
The Wave Energy Converter Control Competition: Overview conference June 2019
Development of a Model Predictive Controller for the Wave Energy Converter Control Competition conference June 2019
Learning a Predictionless Resonating Controller for Wave Energy Converters conference June 2019
Experimental Assessment of the IFPEN Solution to the WEC Control Competition conference August 2020
Nonlinear Model Predictive Control Based on Real-Time Iteration Scheme for Wave Energy Converters Using WEC-Sim conference June 2022
Balancing Power Output and Structural Fatigue of Wave Energy Converters by Means of Control Strategies journal April 2014

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