Abstract
Computational fluid dynamics (CFD) provides a suitable means to predict the air distribution characteristics in indoor spaces. This paper evaluates the performance of two turbulence models in predicting an indoor airflow: the RAST (Rahman-Agarwal-Siikonen-Taghinia) sub-grid scale model (SGS) and SST-SAS (Shear Stress Transport with Scale-Adaptive Simulation) k-ω model of hybrid RANS-LES type. These two models are applied to investigate the airflows for three ventilation scenarios: (a) forced convection, (b) mixed (natural+forced) convection and (c) isothermal impinging jet in a room. The predictions are compared with the available experimental data in the literature. However, both models produce good results but comparisons show that RAST model predictions are in better agreement with experiments due to its sensitivity toward both the resolved strain rate and vorticity parameters.
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Abbreviations
- C μ :
-
eddy-viscosity coefficient
- \(\bar C_s\) :
-
Smagorinsky coefficient
- G :
-
filter function
- g :
-
gravitational acceleration
- k :
-
total turbulent kinetic energy
- Pr :
-
molecular Prandtl number
- Pr sgs :
-
sub-grid scale Prandtl number
- Re :
-
Reynolds number
- \(\bar S_{ij}\) :
-
resolved strain rate tensor
- T :
-
temperature
- \(\bar u_i\) :
-
grid filter velocity
- \(\bar u_\tau\) :
-
friction velocity
- \(\bar W_{ij}\) :
-
resolved vorticity tensor
- y + :
-
dimensionless wall distance \((\bar u_\tau y/v)\)
- β :
-
thermal expansion coefficient
- δ i,j :
-
Kronecker’s delta
- Δt :
-
time step
- \(\bar \Delta\) :
-
grid filter width
- v,v T :
-
laminar and turbulent viscosities
- \(\bar \theta _i\) :
-
grid filter temperature
- ρ :
-
density
- τ i,j :
-
sub-grid scale stress tensor
- CFD:
-
computational fluid dynamics
- DSM:
-
dynamic Smagorinsky model
- LES:
-
large eddy simulation
- RANS:
-
Reynolds averaged Navier-Stokes
- RAST:
-
Rahman-Agarwal-Siikonen-Taghinia
- SGS:
-
sub-grid scale
- i, j :
-
variable numbers
- in:
-
inlet condition
- out:
-
outlet condition
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Taghinia, J., Rahman, M. & Siikonen, T. Simulation of indoor airflow with RAST and SST-SAS models: A comparative study. Build. Simul. 8, 297–306 (2015). https://doi.org/10.1007/s12273-015-0213-z
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DOI: https://doi.org/10.1007/s12273-015-0213-z