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Analysis on Evaluations of Monterey Bay Aquarium Research Institute’s Wave Energy Converter’s Field Data Using WEC-Sim and Gazebo: A Simulation Tool Comparison

Journal Article · · Applied Sciences
DOI:https://doi.org/10.3390/app142311169· OSTI ID:2479228
 [1];  [2];  [3];  [2];  [3];  [1];  [2]
  1. Oregon State Univ., Corvallis, OR (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Monterey Bay Aquarium Research Institute, Moss Landing, CA (United States)
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Although many studies have validated wave energy converter (WEC) numerical models against scaled prototype experimental data, there remains a notable lack of validation using data from full-scale deployed WECs. This paper compares two numerical models of Monterey Bay Aquarium Research Institute’s Wave Energy Converter (MBARI-WEC), a two-body point absorber with an electro-hydraulic power take-off system (PTO). The models are implemented in WEC-Sim/Simscape and Gazebo Simulator. A statistical analysis of the models was performed, and field results were obtained to compare the models’ accuracy in predicting the RMS piston velocity, RMS motor speed, and mean electric power compared to field data for 56 observations across varying sea states. The Gazebo model demonstrated a closer agreement across all three parameters for a majority of the observations. When compared to the field data, the Gazebo and WEC-Sim models exhibited average mean electric power overestimations of 13% and 22%, respectively.

Research Organization:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Renewable Energy. Water Power Technologies Office; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office
Grant/Contract Number:
NA0003525
OSTI ID:
2479228
Alternate ID(s):
OSTI ID: 2480230
Report Number(s):
SAND-2024-16270J
Journal Information:
Applied Sciences, Vol. 14, Issue 23; ISSN 2076-3417
Publisher:
MDPICopyright Statement
Country of Publication:
United States
Language:
English

References (6)

Review of WEC-Sim development and applications journal December 2022
Marine Hydrodynamics book January 1977
New Developments and Capabilities Within WEC-Sim conference June 2023
Wave Energy Converter Power Take-Off Modeling and Validation From Experimental Bench Tests journal April 2024
Robot Operating System 2: Design, architecture, and uses in the wild journal May 2022
The MBARI-WEC: a power source for ocean sensing journal May 2021

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Related Subjects

software packages
statistical analysis
time-domain analysis
wave energy converters