U.S. Department of EnergyOffice of Scientific and Technical Information
HERO WEC Belt Test Data
Abstract
The following submission includes raw and processed data from the 2024 Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC) belt tests conducted using NREL's Large Amplitude Motion Platform (LAMP). A description of the motion profiles run during testing can be found in the run log document. Data was collected using NREL's Modular Ocean Data AcQuisition (MODAQ) system in the form of TDMS files. Data was then processed using Python and MATLAB and converted to MATLAB workspace, parquet, and csv file formats. During Data processing, a low pass filter was applied to each array and the arrays were then resampled to common 10Hz timestamps. A MATLAB data viewer script is provided to quickly visualize these data sets. The following arrays are contained in each test data file: - Time: Unix seconds timestamp - Test_Time: Time in seconds since beginning of test - POS_OS_1001: Encoder position in degrees (the encoder is located on the secondary shaft of the spring return and is driven by the winch after a 4.5:1 gear reduction) - LC_ST_1001: Anchor load cell data in lbf - PRESS_OS_2002: Air spring pressure in psi This data set has been developed by the National Renewable Energy Laboratory, operated bymore »
- Publication Date:
- Other Number(s):
- 589
- Research Org.:
- Marine and Hydrokinetic Data Repository (MHKDR); National Renewable Energy Laboratory
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office (EE-4WP)
- Collaborations:
- National Renewable Energy Laboratory
- Subject:
- 16 TIDAL AND WAVE POWER; CSV; HERO WEC; Hydrokinetic; MATLAB; MHK; Marine; Python; TDMS; WEC; Wave Energy Converter; belt testing; code; energy; motion profiles; parquet; power; processed data; raw data
- OSTI Identifier:
- 2506147
- DOI:
- https://doi.org/10.15473/2506147
Citation Formats
Jenne, Scott, Nichols, Casey, Panzarella, Justin, and Simms, Andrew. HERO WEC Belt Test Data. United States: N. p., 2024.
Web. doi:10.15473/2506147.
Jenne, Scott, Nichols, Casey, Panzarella, Justin, & Simms, Andrew. HERO WEC Belt Test Data. United States. doi:https://doi.org/10.15473/2506147
Jenne, Scott, Nichols, Casey, Panzarella, Justin, and Simms, Andrew. 2024.
"HERO WEC Belt Test Data". United States. doi:https://doi.org/10.15473/2506147. https://www.osti.gov/servlets/purl/2506147. Pub date:Sun Sep 01 00:00:00 EDT 2024
@article{osti_2506147,
title = {HERO WEC Belt Test Data},
author = {Jenne, Scott and Nichols, Casey and Panzarella, Justin and Simms, Andrew},
abstractNote = {The following submission includes raw and processed data from the 2024 Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC) belt tests conducted using NREL's Large Amplitude Motion Platform (LAMP). A description of the motion profiles run during testing can be found in the run log document. Data was collected using NREL's Modular Ocean Data AcQuisition (MODAQ) system in the form of TDMS files. Data was then processed using Python and MATLAB and converted to MATLAB workspace, parquet, and csv file formats. During Data processing, a low pass filter was applied to each array and the arrays were then resampled to common 10Hz timestamps. A MATLAB data viewer script is provided to quickly visualize these data sets. The following arrays are contained in each test data file: - Time: Unix seconds timestamp - Test_Time: Time in seconds since beginning of test - POS_OS_1001: Encoder position in degrees (the encoder is located on the secondary shaft of the spring return and is driven by the winch after a 4.5:1 gear reduction) - LC_ST_1001: Anchor load cell data in lbf - PRESS_OS_2002: Air spring pressure in psi This data set has been developed by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Water Power Technologies Office.},
doi = {10.15473/2506147},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Sep 01 00:00:00 EDT 2024},
month = {Sun Sep 01 00:00:00 EDT 2024}
}