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    • TEAMER: CFD Data on a Vertical Axis Wave Turbine

    Metadata Updated: July 9, 2024

    In this study from January to July of 2023, different variations of the original geometry of a vertical-axis wave turbine (VAWT) were generated and evaluated for hydrodynamic power efficiency using computational fluid dynamics (CFD). The key geometrical parameters considered in this parametric study included the chord length of the rotor blades and the horizontal semi-axis length. The immersion depth of the rotor was also examined as a key deployment parameter for the wave turbine. The CFD simulation results revealed that a medium chord length of the blade (i.e., the same as that of the baseline design) and a shorter horizontal semi-axis for the guide curve of the blade than that of the baseline design resulted in higher hydrodynamic power to extract. With the most efficient turbine rotor geometry identified in this study, a deployment depth that could assure full submergence of the rotor in waves but as close to the free surface as possible led to a higher hydrodynamic power. These findings revealed a pathway for the improvement of the wave turbine energy efficiency.

    This project is part of the TEAMER RFTS 6 (request for technical support) program.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: Creative Commons Attribution

    Downloads & Resources

    Dates

    Metadata Created Date July 9, 2024
    Metadata Updated Date July 9, 2024

    Metadata Source

    Harvested from OpenEI data.json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date July 9, 2024
    Metadata Updated Date July 9, 2024
    Publisher University of Texas Rio Grande Valley
    Maintainer
    Doi 10.15473/2006434
    Identifier https://data.openei.org/submissions/6091
    Data First Published 2023-07-31T06:00:00Z
    Data Last Modified 2024-01-09T23:53:38Z
    Public Access Level public
    Bureau Code 019:20
    Metadata Context https://openei.org/data.json
    Metadata Catalog ID https://openei.org/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Data Quality True
    Harvest Object Id ac3f79d3-c11e-4c16-a646-ed2a1cafca70
    Harvest Source Id 7cbf9085-0290-4e9f-bec1-91653baeddfd
    Harvest Source Title OpenEI data.json
    Homepage URL https://mhkdr.openei.org/submissions/503
    License https://creativecommons.org/licenses/by/4.0/
    Old Spatial {"type":"Polygon","coordinates":-180,-83,180,-83,180,83,-180,83,-180,-83}
    Program Code 019:009
    Projectlead Lauren Ruedy
    Projectnumber EE0008895
    Projecttitle A vertical-axis wave turbine
    Source Datajson Identifier True
    Source Hash 47958f57c1613ba09366b119d2ebc516c88026cf74b2b9227d1fa4b676edc7b5
    Source Schema Version 1.1
    Spatial {"type":"Polygon","coordinates":-180,-83,180,-83,180,83,-180,83,-180,-83}

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