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TEAMER: CFD Data on a Vertical Axis Wave Turbine
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.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"019:20"
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|
| contactPoint |
{
"fn": "Yingchen Yang",
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"hasEmail": "mailto:yingchen.yang@utrgv.edu"
}
|
| dataQuality |
true
|
| description | 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. |
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|
| DOI | 10.15473/2006434 |
| identifier | https://data.openei.org/submissions/8069 |
| issued | 2023-07-31T06:00:00Z |
| keyword |
[
"Excel",
"Paraview",
"RFTS 6",
"TEAMER",
"WEC",
"chord length",
"horizontal semi-axis length",
"immersion depth",
"processed data",
"technology",
"testing",
"unidirectional rotation",
"wave energy",
"wave energy converter",
"wave turbine"
]
|
| landingPage | https://mhkdr.openei.org/submissions/503 |
| license | https://creativecommons.org/licenses/by/4.0/ |
| modified | 2024-01-09T23:53:38Z |
| programCode |
[
"019:009"
]
|
| projectLead | Lauren Ruedy |
| projectNumber | EE0008895 |
| projectTitle | A vertical-axis wave turbine |
| publisher |
{
"name": "University of Texas Rio Grande Valley",
"@type": "org:Organization"
}
|
| spatial |
"{"type":"Polygon","coordinates":[[[-180,-83],[180,-83],[180,83],[-180,83],[-180,-83]]]}"
|
| title | TEAMER: CFD Data on a Vertical Axis Wave Turbine |
