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HERO WEC 2024 - Electrical Configuration Deployment Data

DOI 10.15473/2417634

Publicly accessible License

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.

0README.txt

README file detailing each file in this repository.

Download 3.92 kB

Data Descriptions.docx

This document includes detailed descriptions of the type of data and how it was processed and/or calculated.

Download 305.67 kB

Data Processor GitHub Page

Python

The Python code used to process HERO WEC electric configuration deployment data. This code resamples data to common timestamps within each sensor group, performs all ap... more

View Repository

Data Viewer.m

MATLAB script to plot data from HERO WEC data workspaces.

Download 14.47 kB

Data Viewer.mlx

MATLAB live script to plot data from HERO WEC data workspaces.

Download 1.35 MB

Gen Data Parquet.zip

Parquet files containing all measurements collected on the generator subsystem and all applicable value added products.

Download 11.06 GB

Gen Data Workspaces.zip

MATLAB workspaces containing all measurements collected on the generator subsystem and all applicable value added products.

Download 13.42 GB

Interim Filtered Data.zip

Raw, unprocessed data from each sensor group in the form of parquet files.

Download 16.4 GB

PE Data Parquet.zip

Parquet files containing all measurements collected on the power electronics subsystem and all applicable value added products.

Download 8.55 GB

PE Data Workspaces.zip

MATLAB workspaces containing all measurements collected on the power electronics subsystem and all applicable value added products.

Download 9.73 GB

RO Data Parquet.zip

Parquet files containing all measurements collected on the RO subsystem and all applicable value added products.

Download 3.59 GB

RO Data Workspaces.zip

MATLAB workspaces containing all measurements collected on the RO subsystem and all applicable value added products.

Download 3.95 GB

Raw Data.zip

Raw, unprocessed data from this deployment can be found in the Raw Data zip folder. This data is provided in the form of TDMS, CSV, and bag files in the original format... more

Download 30.4 GB

Summary Data.zip

HERO WEC performance data and wave resource information reported every 30-minutes during the deployment.

Download 126.62 kB

WEC Data Parquet.zip

Parquet files containing all measurements collected on the WEC and all applicable value added products.

Download 53.25 MB

WEC Data Workspaces.zip

MATLAB workspaces containing all measurements collected on the WEC and all applicable value added products.

Download 39.72 MB

Citation Formats

TY  - DATA
AB  - 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.

AU  - Jenne, Scott
A2  - Panzarella, Justin
A3  - Simms, Andrew
A4  - Bharath, Aidan
A5  - Raye, Rob
A6  - Nichols, Casey
A7  - Murphy, Mark
A8  - Swartz, Kyle
A9  - McGilton, Ben
A10  - Schnabel, Alec
A11  - Candon, Charles
DB  - Open Energy Data Initiative (OEDI)
DP  - Open EI | National Renewable Energy Laboratory
DO  - 10.15473/2417634
KW  - MHK
KW  - Marine
KW  - Hydrokinetic
KW  - energy
KW  - power
KW  - HERO
KW  - Desalination
KW  - Wave
KW  - WEC
KW  - MATLAB
KW  - Python
KW  - raw data
KW  - processed data
KW  - TDMS
KW  - CSV
KW  - HERO WEC
KW  - code
KW  - parquet
KW  - deployment
KW  - electrical configuration
KW  - reverse osmosis
KW  - technology
LA  - English
DA  - 2024/04/18
PY  - 2024
PB  - National Renewable Energy Laboratory
T1  - HERO WEC 2024 - Electrical Configuration Deployment Data 
UR  - https://doi.org/10.15473/2417634
ER  -

Export Citation to RIS

Jenne, Scott, et al. HERO WEC 2024 - Electrical Configuration Deployment Data . National Renewable Energy Laboratory, 18 April, 2024, MHKDR. https://doi.org/10.15473/2417634.

Jenne, S., Panzarella, J., Simms, A., Bharath, A., Raye, R., Nichols, C., Murphy, M., Swartz, K., McGilton, B., Schnabel, A., & Candon, C. (2024). HERO WEC 2024 - Electrical Configuration Deployment Data . [Data set]. MHKDR. National Renewable Energy Laboratory. https://doi.org/10.15473/2417634

Jenne, Scott, Justin Panzarella, Andrew Simms, Aidan Bharath, Rob Raye, Casey Nichols, Mark Murphy, Kyle Swartz, Ben McGilton, Alec Schnabel, and Charles Candon. HERO WEC 2024 - Electrical Configuration Deployment Data . National Renewable Energy Laboratory, April, 18, 2024.  Distributed by MHKDR. https://doi.org/10.15473/2417634

@misc{OEDI_Dataset_8092,
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.

},
url = {https://mhkdr.openei.org/submissions/551},
year = {2024},
howpublished = {MHKDR, National Renewable Energy Laboratory, https://doi.org/10.15473/2417634},
note = {Accessed: 2025-05-03},
doi = {10.15473/2417634}
}

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

Details

Data from Apr 18, 2024

Last updated Aug 1, 2024

Submitted Jul 15, 2024