Elsakka, M.M., Ingham, D.B. orcid.org/0000-0002-4633-0852, Ma, L. orcid.org/0000-0002-3731-8464 et al. (1 more author) (2021) Comparison of the computational fluid dynamics predictions of vertical axis wind turbine performance against detailed pressure measurements. International Journal of Renewable Energy Research, 11 (1). pp. 276-293.
Abstract
Computational Fluid Dynamics (CFD) simulations are currently one of the most popular methods for the modelling of a Vertical Axis Wind Turbine (VAWT) that gives good insight on the turbine aerodynamics. The current study provides an assessment of the quality of the 2D and 3D CFD predictions of two highly recommended models in the literature, namely the SST K-ω model and the SST K-ω with the γ Intermittency transition model. The novelty of the study is in the kind of data that is used in the assessment. The CFD predictions of the pressure around the blade at several azimuthal angles are compared to the published experimental data measured by a high-frequency multiport pressure scanner. In addition, the predictions of the pressure contribution to the instantaneous power coefficient are compared to the experimental data. This paper sheds much new light on how the behaviour of the predictions of the SST K-ω with the γ intermittency transition model changes between the 2D and 3D cases and how the trends of the 2D results based on this transition model deviate from the detailed experimental data. This behaviour has not been previously investigated.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 International Journal of Renewable Energy Research. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | VAWT; CFD; Pressure distribution; Turbulence modelling; Transition |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Apr 2021 08:22 |
Last Modified: | 21 Apr 2021 14:11 |
Published Version: | https://www.ijrer.org/ijrer/index.php/ijrer/articl... |
Status: | Published |
Publisher: | IJRER |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:173272 |