Effects of turbulence models and grid densities on computational accuracy of flows over a vertical axis wind turbine

Flows through a vertical axis wind turbine (VAWT) are very complex due to their inherent unsteadiness caused by large variations of the angle of attacks as the turbine is rotating and changing its azimuth angles simultaneously. In addition, a turbine must go through a wide range of operating conditi...

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Main Authors: Jaruwan Chaiyanupong, Tawit Chitsomboon
Format: Article
Language:English
Published: Diponegoro University 2018-12-01
Series:International Journal of Renewable Energy Development
Subjects:
CFD
Online Access:https://ejournal.undip.ac.id/index.php/ijred/article/view/19252
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spelling doaj-d6c4339f6f8248c6a890c32eb7116ab82021-01-02T11:52:23ZengDiponegoro UniversityInternational Journal of Renewable Energy Development2252-49402018-12-017321322210.14710/ijred.7.3.213-22214302Effects of turbulence models and grid densities on computational accuracy of flows over a vertical axis wind turbineJaruwan Chaiyanupong0Tawit Chitsomboon1School of Mechanical Engineering, Suranaree University of Technology. 111 University Avenue, Suranaree Sub-District, Muang Nakhon Ratchasima District, Nakhon Ratchasima 30000School of Mechanical Engineering, Suranaree University of Technology. 111 University Avenue, Suranaree Sub-District, Muang Nakhon Ratchasima District, Nakhon Ratchasima 30000Flows through a vertical axis wind turbine (VAWT) are very complex due to their inherent unsteadiness caused by large variations of the angle of attacks as the turbine is rotating and changing its azimuth angles simultaneously. In addition, a turbine must go through a wide range of operating conditions especially the change in blade speed ratio (BSR). Accurate prediction of flows over VAWT using Reynolds-Averaged Navier-Stokes (RANS) model needs a well-tested turbulence model as well as a careful grid control around the airfoil. This paper aimed to compare various turbulence models and seek the most accurate one. Furthermore, grid convergence was studied using the Roache method to determine the sufficient number of grid elements around the blade section. The three-dimensional grid was generated by extrution from the two-dimensional grid along with the appropriate y+ controlling. Comparisons were made among the three turbulence models that are widely used namely: the RNG model, the shear stress transport k-ω model (SST) and the Menter’s shear stress transport k-ω model (transition SST). Results obtained clearly showed that turbulence models significantly affected computational accuracy. The SST turbulence model showed best agreement with reported experimental data at BSR lower than 2.35, while the transition SST model showed better results when BSR is higher than 2.35. In addition, grid extruding technique with y+ control could reduce total grid requirement while maintaining acceptable prediction accuracy. Article History: Received April 15th 2018; Received in revised form June 16th 2018; Accepted September 17th 2018; Available online How to Cite This Article: Chaiyanupong,J and Chitsomboon, T. (2018) Effects of Turbulence Models and Grid Densities on Computational Accuracy of Flows Over a Vertical Axis Wind Turbine. Int. Journal of Renewable Energy Development, 7(3), 213-222. http://dx.doi.org/10.14710/ijred.7.3.213-222https://ejournal.undip.ac.id/index.php/ijred/article/view/19252VAWTCFDAerodynamicTurbulence modelWind turbineVertical axis
collection DOAJ
language English
format Article
sources DOAJ
author Jaruwan Chaiyanupong
Tawit Chitsomboon
spellingShingle Jaruwan Chaiyanupong
Tawit Chitsomboon
Effects of turbulence models and grid densities on computational accuracy of flows over a vertical axis wind turbine
International Journal of Renewable Energy Development
VAWT
CFD
Aerodynamic
Turbulence model
Wind turbine
Vertical axis
author_facet Jaruwan Chaiyanupong
Tawit Chitsomboon
author_sort Jaruwan Chaiyanupong
title Effects of turbulence models and grid densities on computational accuracy of flows over a vertical axis wind turbine
title_short Effects of turbulence models and grid densities on computational accuracy of flows over a vertical axis wind turbine
title_full Effects of turbulence models and grid densities on computational accuracy of flows over a vertical axis wind turbine
title_fullStr Effects of turbulence models and grid densities on computational accuracy of flows over a vertical axis wind turbine
title_full_unstemmed Effects of turbulence models and grid densities on computational accuracy of flows over a vertical axis wind turbine
title_sort effects of turbulence models and grid densities on computational accuracy of flows over a vertical axis wind turbine
publisher Diponegoro University
series International Journal of Renewable Energy Development
issn 2252-4940
publishDate 2018-12-01
description Flows through a vertical axis wind turbine (VAWT) are very complex due to their inherent unsteadiness caused by large variations of the angle of attacks as the turbine is rotating and changing its azimuth angles simultaneously. In addition, a turbine must go through a wide range of operating conditions especially the change in blade speed ratio (BSR). Accurate prediction of flows over VAWT using Reynolds-Averaged Navier-Stokes (RANS) model needs a well-tested turbulence model as well as a careful grid control around the airfoil. This paper aimed to compare various turbulence models and seek the most accurate one. Furthermore, grid convergence was studied using the Roache method to determine the sufficient number of grid elements around the blade section. The three-dimensional grid was generated by extrution from the two-dimensional grid along with the appropriate y+ controlling. Comparisons were made among the three turbulence models that are widely used namely: the RNG model, the shear stress transport k-ω model (SST) and the Menter’s shear stress transport k-ω model (transition SST). Results obtained clearly showed that turbulence models significantly affected computational accuracy. The SST turbulence model showed best agreement with reported experimental data at BSR lower than 2.35, while the transition SST model showed better results when BSR is higher than 2.35. In addition, grid extruding technique with y+ control could reduce total grid requirement while maintaining acceptable prediction accuracy. Article History: Received April 15th 2018; Received in revised form June 16th 2018; Accepted September 17th 2018; Available online How to Cite This Article: Chaiyanupong,J and Chitsomboon, T. (2018) Effects of Turbulence Models and Grid Densities on Computational Accuracy of Flows Over a Vertical Axis Wind Turbine. Int. Journal of Renewable Energy Development, 7(3), 213-222. http://dx.doi.org/10.14710/ijred.7.3.213-222
topic VAWT
CFD
Aerodynamic
Turbulence model
Wind turbine
Vertical axis
url https://ejournal.undip.ac.id/index.php/ijred/article/view/19252
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