TEAMER: Performance mapping of Re Vision's Persistance PTO

Labuschagne, Hannes; McGilton, Ben; Previsic, Mirko

doi:10.15473/2475741

Title: TEAMER: Performance mapping of Re Vision's Persistance PTO

Dataset
Other Related Research

Abstract

Contains datasets from experimental measurements that were used to validate Re Vision's Persistence PTO's efficiency and performance. These measurements were obtained using a dynamometer test bench setup. The data includes open-circuit voltage and loss measurements to validate machine characteristics, efficiency mapping tests to determine the generator's performance mapping, and efficiency mapping tests to determine the converter's efficiency over the feasible operating range. This data was collected between June 2023 and September 2023. The data was collected at the National Renewable Energy Laboratory's Flatirons Campus, Colorado, United States. The data was collected using NREL's 5-kW dynamometer test bench, equipped with a torque sensor and various voltage and current sensors fed to a dedicated data acquisition system. Units for the data are included in the data file headers for each data series. A text editor or spreadsheet software such as Excel is required to view the *.csv data. The data are also provided in *.mat files. To view data plots, a Matlab script with *.mat files are provided.

Authors:

; McGilton, Ben; Previsic, Mirko

National Renewable Energy Laboratory

Publication Date:: Tue Jul 09 00:00:00 EDT 2024

Other Number(s):: 552

DOE Contract Number:: EE0008895

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; MHK; Matlab; PTO; drivetrain; dynamometer; efficiency mapping; energy; hydrokinetic; marine; marine energy; performance mapping; power; wave energy; wave energy converter; wec

OSTI Identifier:: 2475741

DOI:: https://doi.org/10.15473/2475741

Citation Formats


                    Labuschagne, Hannes, McGilton, Ben, and Previsic, Mirko. TEAMER: Performance mapping of Re Vision's Persistance PTO.  United States: N. p., 2024. 
        Web.  doi:10.15473/2475741.

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                    Labuschagne, Hannes, McGilton, Ben, & Previsic, Mirko. TEAMER: Performance mapping of Re Vision's Persistance PTO.  United States.  doi:https://doi.org/10.15473/2475741

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                    Labuschagne, Hannes, McGilton, Ben, and Previsic, Mirko. 2024.  
"TEAMER: Performance mapping of Re Vision's Persistance PTO".  United States.  doi:https://doi.org/10.15473/2475741.  https://www.osti.gov/servlets/purl/2475741. Pub date:Tue Jul 09 00:00:00 EDT 2024

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@article{osti_2475741,

  title        = {TEAMER: Performance mapping of Re Vision's Persistance PTO},

  author       = {Labuschagne, Hannes and McGilton, Ben and Previsic, Mirko},

  abstractNote = {Contains datasets from experimental measurements that were used to validate Re Vision's Persistence PTO's efficiency and performance. These measurements were obtained using a dynamometer test bench setup. The data includes open-circuit voltage and loss measurements to validate machine characteristics, efficiency mapping tests to determine the generator's performance mapping, and efficiency mapping tests to determine the converter's efficiency over the feasible operating range. This data was collected between June 2023 and September 2023. The data was collected at the National Renewable Energy Laboratory's Flatirons Campus, Colorado, United States. The data was collected using NREL's 5-kW dynamometer test bench, equipped with a torque sensor and various voltage and current sensors fed to a dedicated data acquisition system. Units for the data are included in the data file headers for each data series. A text editor or spreadsheet software such as Excel is required to view the *.csv data. The data are also provided in *.mat files. To view data plots, a Matlab script with *.mat files are provided.},

  doi          = {10.15473/2475741},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Jul 09 00:00:00 EDT 2024},

  month        = {Tue Jul 09 00:00:00 EDT 2024}

}

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DOI: https://doi.org/10.15473/2475741

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