HERO WEC 2024 - Electrical Configuration Deployment Data

Jenne, Scott; Panzarella, Justin; Simms, Andrew; Bharath, Aidan; Raye, Rob; Nichols, Casey; Murphy, Mark; Swartz, Kyle; McGilton, Ben; Schnabel, Alec; Candon, Charles

doi:10.15473/2417634

Title: HERO WEC 2024 - Electrical Configuration Deployment Data

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Abstract

The following submission includes raw and processed electrical configuration deployment data from the in water deployment of NREL's Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC), in the form of parquet files, TDMS files, CSV files, bag files, and MATLAB workspaces. This dataset was collected in April 2024 at the Jennette's pier test site in North Carolina. Raw data as TDMS, CSV, and bag files are provided here alongside processed data in the form of MATLAB workspaces and Parquet files. This dataset includes the Python code used to process the data and MATLAB scripts to visualize the processed data. All data types, calculations, and processing is described in the included "Data Descriptions" document. All files in this dataset are described in detail in the included README. 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.

Authors:

;

; Bharath, Aidan; Raye, Rob; Nichols, Casey; Murphy, Mark; Swartz, Kyle; McGilton, Ben; Schnabel, Alec; Candon, Charles

National Renewable Energy Laboratory

Publication Date:: Thu Apr 18 04:00:00 UTC 2024

Other Number(s):: 551

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; Desalination; HERO; HERO WEC; Hydrokinetic; MATLAB; MHK; Marine; Python; TDMS; WEC; Wave; code; deployment; electrical configuration; energy; parquet; power; processed data; raw data; reverse osmosis; technology

OSTI Identifier:: 2417634

DOI:: https://doi.org/10.15473/2417634

Citation Formats


                    Jenne, Scott, Panzarella, Justin, Simms, Andrew, Bharath, Aidan, Raye, Rob, Nichols, Casey, Murphy, Mark, Swartz, Kyle, McGilton, Ben, Schnabel, Alec, and Candon, Charles. HERO WEC 2024 - Electrical Configuration Deployment Data.  United States: N. p., 2024. 
        Web.  doi:10.15473/2417634.

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                    Jenne, Scott, Panzarella, Justin, Simms, Andrew, Bharath, Aidan, Raye, Rob, Nichols, Casey, Murphy, Mark, Swartz, Kyle, McGilton, Ben, Schnabel, Alec, & Candon, Charles. HERO WEC 2024 - Electrical Configuration Deployment Data.  United States.  doi:https://doi.org/10.15473/2417634

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                    Jenne, Scott, Panzarella, Justin, Simms, Andrew, Bharath, Aidan, Raye, Rob, Nichols, Casey, Murphy, Mark, Swartz, Kyle, McGilton, Ben, Schnabel, Alec, and Candon, Charles. 2024.  
"HERO WEC 2024 - Electrical Configuration Deployment Data".  United States.  doi:https://doi.org/10.15473/2417634.  https://www.osti.gov/servlets/purl/2417634. Pub date:Thu Apr 18 04:00:00 UTC 2024

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@article{osti_2417634,

  title        = {HERO WEC 2024 - Electrical Configuration Deployment Data},

  author       = {Jenne, Scott and Panzarella, Justin and Simms, Andrew and Bharath, Aidan and Raye, Rob and Nichols, Casey and Murphy, Mark and Swartz, Kyle and McGilton, Ben and Schnabel, Alec and Candon, Charles},

  abstractNote = {The following submission includes raw and processed electrical configuration deployment data from the in water deployment of NREL's Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC), in the form of parquet files, TDMS files, CSV files, bag files, and MATLAB workspaces. This dataset was collected in April 2024 at the Jennette's pier test site in North Carolina. Raw data as TDMS, CSV, and bag files are provided here alongside processed data in the form of MATLAB workspaces and Parquet files. This dataset includes the Python code used to process the data and MATLAB scripts to visualize the processed data. All data types, calculations, and processing is described in the included "Data Descriptions" document. All files in this dataset are described in detail in the included README. 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          = {10.15473/2417634},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Apr 18 04:00:00 UTC 2024},

  month        = {Thu Apr 18 04:00:00 UTC 2024}

}

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DOI: https://doi.org/10.15473/2417634

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