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.
Citation Formats
TY - DATA
AB - 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.
AU - Yang, Yingchen
A2 - Yan, Deguang
A3 - Ge, Zhongfu
DB - Marine and Hydrokinetic Data Repository
DP - Open EI | National Renewable Energy Laboratory
DO - 10.15473/2006434
KW - wave energy
KW - WEC
KW - wave turbine
KW - unidirectional rotation
KW - wave energy converter
KW - technology
KW - processed data
KW - Excel
KW - Paraview
KW - chord length
KW - horizontal semi-axis length
KW - immersion depth
KW - TEAMER
KW - testing
KW - RFTS 6
LA - English
DA - 2023/07/31
PY - 2023
PB - University of Texas Rio Grande Valley
T1 - TEAMER: CFD Data on a Vertical Axis Wave Turbine
UR - https://doi.org/10.15473/2006434
ER -
Yang, Yingchen, et al. TEAMER: CFD Data on a Vertical Axis Wave Turbine. University of Texas Rio Grande Valley, 31 July, 2023, Marine and Hydrokinetic Data Repository. https://doi.org/10.15473/2006434.
Yang, Y., Yan, D., & Ge, Z. (2023). TEAMER: CFD Data on a Vertical Axis Wave Turbine. [Data set]. Marine and Hydrokinetic Data Repository. University of Texas Rio Grande Valley. https://doi.org/10.15473/2006434
Yang, Yingchen, Deguang Yan, and Zhongfu Ge. TEAMER: CFD Data on a Vertical Axis Wave Turbine. University of Texas Rio Grande Valley, July, 31, 2023. Distributed by Marine and Hydrokinetic Data Repository. https://doi.org/10.15473/2006434
@misc{MHKDR_Dataset_503,
title = {TEAMER: CFD Data on a Vertical Axis Wave Turbine},
author = {Yang, Yingchen and Yan, Deguang and Ge, Zhongfu},
abstractNote = {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.},
url = {https://mhkdr.openei.org/submissions/503},
year = {2023},
howpublished = {Marine and Hydrokinetic Data Repository, University of Texas Rio Grande Valley, https://doi.org/10.15473/2006434},
note = {Accessed: 2025-04-24},
doi = {10.15473/2006434}
}
https://dx.doi.org/10.15473/2006434
Details
Data from Jul 31, 2023
Last updated Jan 9, 2024
Submitted Aug 29, 2023
Organization
University of Texas Rio Grande Valley
Contact
Yingchen Yang
956.882.6652
Authors
Keywords
wave energy, WEC, wave turbine, unidirectional rotation, wave energy converter, technology, processed data, Excel, Paraview, chord length, horizontal semi-axis length, immersion depth, TEAMER, testing, RFTS 6DOE Project Details
Project Name A vertical-axis wave turbine
Project Lead Lauren Ruedy
Project Number EE0008895
