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Comparison of computational fluid dynamics and fluid structure interaction models for the performance prediction of tidal current turbines
- Source :
- Journal of Ocean Engineering and Science, Vol 5, Iss 2, Pp 164-172 (2020)
- Publication Year :
- 2020
- Publisher :
- Elsevier, 2020.
-
Abstract
- CFD models perform rigid body simulations and ignore the hydroelastic behavior of turbine blades. In reality, the tidal turbine blades deform due to the onset flow. Deformation of the turbine blade alters the angle of attack and pressure difference across the low pressure and high pressure surface of the blade. Therefore, the performance of a Tidal Current Turbine (TCT) is modelled in this study using Computational Fluid Dynamic (CFD) and coupled Fluid Structure Interaction (FSI) simulations to compare the predictions of both models. Results of the performance parameters predicted from both the models are also compared with experimental data. The difference between experimental value of CP and predicted value from the rigid blade CFD and FSI models is less than 10%. The FSI model accounted for the blade deformation and a maximum blade tip deflection of 0.12 mm is observed representing a case of small deformation. The extent of deformation is not enough to alter the angle of attack and flow separation behavior at the blade. The variation in predicted pressure difference across the blade surfaces between the two models resulted in different CP prediction. Almost similar wake predictions are obtained from both the models.
- Subjects :
- Environmental Engineering
Turbine blade
Performance
lcsh:Ocean engineering
Ocean Engineering
Wake
Computational fluid dynamics
Oceanography
01 natural sciences
Turbine
010305 fluids & plasmas
law.invention
Flow separation
law
0103 physical sciences
Fluid–structure interaction
Tidal turbine
lcsh:TC1501-1800
010301 acoustics
Angle of attack
business.industry
Coupled FSI
Mechanics
Rigid body
ANSYS Wokbench
ANSYS CFX
business
CFD
Geology
Subjects
Details
- Language :
- English
- ISSN :
- 24680133
- Volume :
- 5
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Journal of Ocean Engineering and Science
- Accession number :
- edsair.doi.dedup.....226304fd14973895a7c12dc9cc7c1abb