HERO WEC V1 Upgrade - 2023 Laboratory Testing (Raw Data)

Jenne, Scott; Simms, Andrew; Panzarella, Justin; McGilton, Ben; Schnabel, Alec; Lambert, Scott; Skinner, Miles; Raye, Rob; Nichols, Casey; Bharath, Aidan; Candon, Charles

doi:10.15473/2506149

Title: HERO WEC V1 Upgrade - 2023 Laboratory Testing (Raw Data)

Dataset
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Abstract

This submission contains the original, unprocessed data from the 2023 Large Amplitude Motion Platform (LAMP) testing of NREL's Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC). This data serves as a companion to MHKDR #520. Data was collected using NREL's Modular Ocean Data AcQuisition (MODAQ) system in TDMS format. Specifications of TDMS files can be found on the NI website. The TDMS files have been separated into zip files corresponding to either Drivetrain, Hydraulic, or Electric configuration runs representing the respective test cases that were run. The drivetrain runs were used to characterize the drivetrain only (no pump or generator). The Hydraulic runs represent the configuration when the seawater pump is installed, and the Electric runs represents the configuration when the generator is installed. The following sub-categories of data are included for each type: - DW - Deep water (monochromatic sine wave) profile (not run in drivetrain configuration) - Heave - Heave only (monochromatic sine wave) profile - Heave_NoRO (hydraulic configuration only) - Heave_ACC (hydraulic configuration only) - IR - Surge and heave irregular wave profile (not run in drivetrain configuration) - RW - Heave only profile created from real world encoder data (not run in drivetrain configuration)more »« less

Authors:

Jenne, Scott; Simms, Andrew; Panzarella, Justin; McGilton, Ben; Schnabel, Alec; Lambert, Scott; Skinner, Miles; Raye, Rob; Nichols, Casey; Bharath, Aidan; Candon, Charles

National Renewable Energy Laboratory

Publication Date:: Sun Dec 31 23:00:00 EST 2023

Other Number(s):: 521

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; Excel; HERO WEC; Hydrokinetic; LAMP; MHK; Marine; TDMS; WEC; desal; desalination; energy; hydraulic PTO; point absorber; power; raw data; reverse osmosis; wave energy

OSTI Identifier:: 2506149

DOI:: https://doi.org/10.15473/2506149

Citation Formats


                    Jenne, Scott, Simms, Andrew, Panzarella, Justin, McGilton, Ben, Schnabel, Alec, Lambert, Scott, Skinner, Miles, Raye, Rob, Nichols, Casey, Bharath, Aidan, and Candon, Charles. HERO WEC V1 Upgrade - 2023 Laboratory Testing (Raw Data).  United States: N. p., 2023. 
        Web.  doi:10.15473/2506149.

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                    Jenne, Scott, Simms, Andrew, Panzarella, Justin, McGilton, Ben, Schnabel, Alec, Lambert, Scott, Skinner, Miles, Raye, Rob, Nichols, Casey, Bharath, Aidan, & Candon, Charles. HERO WEC V1 Upgrade - 2023 Laboratory Testing (Raw Data).  United States.  doi:https://doi.org/10.15473/2506149

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                    Jenne, Scott, Simms, Andrew, Panzarella, Justin, McGilton, Ben, Schnabel, Alec, Lambert, Scott, Skinner, Miles, Raye, Rob, Nichols, Casey, Bharath, Aidan, and Candon, Charles. 2023.  
"HERO WEC V1 Upgrade - 2023 Laboratory Testing (Raw Data)".  United States.  doi:https://doi.org/10.15473/2506149.  https://www.osti.gov/servlets/purl/2506149. Pub date:Sun Dec 31 23:00:00 EST 2023

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@article{osti_2506149,

  title        = {HERO WEC V1 Upgrade - 2023 Laboratory Testing (Raw Data)},

  author       = {Jenne, Scott and Simms, Andrew and Panzarella, Justin and McGilton, Ben and Schnabel, Alec and Lambert, Scott and Skinner, Miles and Raye, Rob and Nichols, Casey and Bharath, Aidan and Candon, Charles},

  abstractNote = {This submission contains the original, unprocessed data from the 2023 Large Amplitude Motion Platform (LAMP) testing of NREL's Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC). This data serves as a companion to MHKDR #520. Data was collected using NREL's Modular Ocean Data AcQuisition (MODAQ) system in TDMS format. Specifications of TDMS files can be found on the NI website. The TDMS files have been separated into zip files corresponding to either Drivetrain, Hydraulic, or Electric configuration runs representing the respective test cases that were run. The drivetrain runs were used to characterize the drivetrain only (no pump or generator). The Hydraulic runs represent the configuration when the seawater pump is installed, and the Electric runs represents the configuration when the generator is installed. The following sub-categories of data are included for each type: - DW - Deep water (monochromatic sine wave) profile (not run in drivetrain configuration) - Heave - Heave only (monochromatic sine wave) profile - Heave_NoRO (hydraulic configuration only) - Heave_ACC (hydraulic configuration only) - IR - Surge and heave irregular wave profile (not run in drivetrain configuration) - RW - Heave only profile created from real world encoder data (not run in drivetrain configuration) Reference documents: - "HERO WEC Lamp Test Run Log.xlsx": contains specifications for each test run - "Lamp Data Description.docx": provides detailed information about data types and processing methods For those interested in the processed data the authors have created a separate submission, MHKDR #520, linked below. 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 U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Water Power Technologies Office.},

  doi          = {10.15473/2506149},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Sun Dec 31 23:00:00 EST 2023},

  month        = {Sun Dec 31 23:00:00 EST 2023}

}

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DOI: https://doi.org/10.15473/2506149

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