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.
L o a d i n g
Organization
National Renewable Energy Laboratory (NREL) - view all
Update frequencyunknown
Last updated6 days ago
OverviewExcelParaviewRFTS 6TEAMERWECchord lengthhorizontal semi-axis lengthimmersion depthprocessed datatechnologytestingunidirectional rotationwave energywave energy converterwave turbine
Additional Information
KeyValue
Dcat Issued2023-07-31T06:00:00Z
Dcat Modified2024-01-09T23:53:38Z
Dcat Publisher NameUniversity of Texas Rio Grande Valley
Guidhttps://data.openei.org/submissions/8069
Harvest Object Ided6b6a41-c8fe-4341-8d2f-a1b52857c367
Harvest Source Id4eb7107f-a2b1-40e3-b36a-8161aa98a56e
Harvest Source TitleOpenEI Data Portal
