Ouro, Pablo  ORCID: https://orcid.org/0000-0001-6411-8241 and Stoesser, Thorsten ORCID: https://orcid.org/0000-0001-8874-9793
2017.
An immersed boundary-based large-eddy simulation approach to predict the performance of vertical axis tidal turbines.
Computers & Fluids
152
, pp. 74-87.
10.1016/j.compfluid.2017.04.003
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Abstract
Vertical axis tidal turbines (VATTs) are perceived to be an attractive alternative to their horizontal axis counterparts in tidal streams due to their omni-directionality. The accurate prediction of VATTs demands a turbulence simulation approach that is able to predict accurately flow separation and vortex shed- ding and a numerical method that can cope with moving boundaries. Thus, in this study an immersed boundary-based large-eddy simulation (LES-IB) method is refined to allow accurate simulation of the blade vortex interaction of VATTs. The method is first introduced and validated for a VATT subjected to laminar flow. Comparisons with highly-accurate body-fitted numerical models results demonstrate the method’s ability of reproducing accurately the performance and fluid mechanics of the chosen VATT. Then, the simulation of a VATT under turbulent flow is performed and comparisons with data from exper- iments and results from RANS-based models demonstrate the accuracy of the method. The vortex-blade interaction is visualised for various tip speed ratios and together with velocity spectra detailed insights into the fluid mechanics of VATTs are provided.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Professional Services > Advanced Research Computing @ Cardiff (ARCCA) Schools > Engineering Research Institutes & Centres > Water Research Institute (WATER) |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TC Hydraulic engineering. Ocean engineering |
| Uncontrolled Keywords: | Vertical axis turbines; Immersed boundary method; Large-eddy simulation; Direct forcing; Tidal turbines; Vortex-blade interaction |
| Publisher: | Elsevier |
| ISSN: | 0045-7930 |
| Funders: | EPSRC |
| Date of First Compliant Deposit: | 29 June 2017 |
| Date of Acceptance: | 6 April 2017 |
| Last Modified: | 29 Nov 2024 22:30 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/100022 |
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