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Investigation of various non-linear eddy viscosity turbulence models for simulating flow and pollutant dispersion on and around a cubical model building

  • Research Article
  • Indoor/Outdoor Airflow and Air Quality
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Abstract

Prediction accuracy of various non-linear eddy viscosity turbulence models for simulating flow and pollutant dispersion on and around an isolated cubical model building with a rooftop vent within the neutral turbulent boundary layer was investigated. For this purpose, three types of quadratic along with three cubic non-linear models were employed and simulation results were compared with the available wind tunnel measurements and linear revised k-ɛ models. They were different from the preceding simulations which have only concentrated on the wind flow field around buildings. Detailed analysis of dispersion mechanisms based on convective and turbulent diffusion mass fluxes indicated that concentration distributions predicted by non-linear models at the sidewall improved significantly relative to the traditional standard k-ɛ and linear revised k-ɛ models which was due to larger lateral turbulent diffusion. Moreover, thorough analysis of these fluxes underlined the prominent capability of non-linear models in capturing the anisotropy of turbulence and verified the importance of recirculation regions in the pollutant dispersion around a model building. Among the various non-linear models under study, cubic models of Craft et al. and Ehrhard and Moussiopoulos provided the best performance as compared with the other numerical and experimental data.

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Abbreviations

〈 〉:

time average

C μ :

eddy viscosity coefficient

d :

exhaust vent diameter (m)

H b :

building height (m)

I in :

turbulence intensity at inlet

k :

turbulence kinetic energy (m2/s2)

K :

dimensionless concentration

M :

effluent velocity ratio

P k :

production term of turbulence kinetic energy (m2/s4)

\(\dot Q_e\) :

pollutant release rate (m3/s)

Re Hb :

Reynolds number

\(\bar S\) :

dimensionless strain rate

S ij :

strain rate tensor (s−1)

U :

free stream velocity (m/s)

U b :

velocity at the building height (m/s)

\(u'_i u'_j\) :

turbulent fluxes (m2/s2)

V e :

contaminant exit velocity (m/s)

Δt :

physical time step (s)

Δt*:

non-dimensional time units

δ :

boundary layer thickness (m)

δ ij :

Kronecker delta

ɛ :

dissipation rate (m2/s3)

η :

CLS model coefficient

ν :

kinematic viscosity (m2/s)

ν t :

urbulent eddy viscosity (m2/s)

ρ :

density (kg/m3)

τ ij :

stress tensor (kg/(m·s2))

Ω ij :

vorticity tensor (s−1)

\(\bar \Omega\) :

dimensionless vorticity

b:

building

Hb:

building height

in:

inlet

∞:

free stream

References

  • Apsley DD, Leschziner MA (1998). A new low-Reynolds-number non-linear two-equation turbulence model for complex flows. International Journal of Heat and Fluid Flow, 19: 209–222.

    Article  Google Scholar 

  • Bazdidi-Tehrani F, Ghafouri A, Jadidi M (2013). Grid resolution assessment in large eddy simulation of dispersion around an isolated cubic building. Journal of Wind Engineering and Industrial Aerodynamics, 121: 1–15.

    Article  Google Scholar 

  • Bazdidi-Tehrani F, Jadidi M (2014). Large eddy simulation of dispersion around an isolated cubic building: Evaluation of localized dynamic k SGS-equation sub-grid scale model. Environmental Fluid Mechanics, 14: 565–589.

    Article  Google Scholar 

  • Blocken B, Stathopoulos T, Saathoff P, Wang X (2008). Numerical evaluation of pollutant dispersion in the built environment: Comparisons between models and experiments. Journal of Wind Engineering and Industrial Aerodynamics, 96: 1817–1831.

    Article  Google Scholar 

  • Boussinesq J (1897). Théorie de l’écoulmnent tourbillonnant et tumultuex des liquides dans les lits rectilignes à grande section. Paris: Gauthier-Villars.

    Google Scholar 

  • Craft TJ, Launder BE, Suga K (1996). Development and application of a cubic eddy-viscosity model of turbulence. International Journal of Heat and Fluid Flow, 17: 108–115.

    Article  Google Scholar 

  • Craft TJ, Launder BE, Suga K (1997). Prediction of turbulent transitional phenomena with a non-linear eddy-viscosity model. International Journal of Heat and Fluid Flow, 18: 15–28.

    Article  Google Scholar 

  • Davidson L (2014). Fluid Mechanics, Turbulent Flow and Turbulence Modeling. Goteborg, Sweden: Chalmers University of Technology.

    Google Scholar 

  • Ehrhard J, Moussiopoulos N (2000). On a new nonlinear turbulence model for simulating flows around building shaped structures. Journal of Wind Engineering and Industrial Aerodynamics, 88: 91–99.

    Article  Google Scholar 

  • Franke J, Hellsten A, Schlünzen H, Carissimo B (2011). The COST 732 Best Practice Guideline for CFD simulation of flows in the urban environment: A summary. International Journal of Environment and Pollution, 44: 419–427.

    Article  Google Scholar 

  • Gatski TB, Speziale CG (1993). On explicit algebraic stress models for complex turbulent flows. Journal of Fluid Mechanics, 254: 59–78.

    Article  MATH  MathSciNet  Google Scholar 

  • Girimaji SS (1996). Fully explicit and self-consistent algebraic Reynolds stress model. Theoretical and Computational Fluid Dynamics, 8: 387–402.

    Article  MATH  Google Scholar 

  • Gomez CA, Girimaji SS (2013). Explicit algebraic Reynolds stress model (EARSM) for compressible shear flows. Theoretical and Computational Fluid Dynamics, 28: 171–196.

    Article  Google Scholar 

  • Gousseau P, Blocken B, van Heijst GJF (2011). CFD simulation of pollutant dispersion around isolated buildings: On the role of convective and turbulent mass fluxes in the prediction accuracy. Journal of Hazardous Materials, 194: 422–434.

    Article  Google Scholar 

  • Gromke C, Blocken B, Janssen W, Merema B, van Hooff T, Timmermans H (2014). CFD analysis of transpirational cooling by vegetation: Case study for specific meteorological conditions during a heat wave in Arnhem, Netherlands. Building and Environment, doi:10.1016/j.buildenv.2014.04.022.

    Google Scholar 

  • Haghighat F, Mirzaei PA (2011). Impact of non-uniform urban surface temperature on pollution dispersion in urban areas. Building Simulation, 4: 227–244.

    Article  Google Scholar 

  • Jones WP, Launder BE (1972). The prediction of laminarization with a two-equation model of turbulence. International Journal of Heat and Mass Transfer, 15: 301–314.

    Article  Google Scholar 

  • Launder BE, Spalding DB (1974). The numerical computation of turbulent flows. Computer Methods in Applied Mechanics and Engineering, 3: 269–289.

    Article  MATH  Google Scholar 

  • Leschziner MA (2006). Modelling turbulent separated flow in the context of aerodynamic applications. Fluid Dynamics Research, 38: 174–210.

    Article  MATH  MathSciNet  Google Scholar 

  • Leung KK, Liu CH, Wong CCC, Lo JCY, Ng GCT (2012). On the study of ventilation and pollutant removal over idealized two-dimensional urban street canyons. Building Simulation, 5: 359–369.

    Article  Google Scholar 

  • Li WW, Meroney RN (1983). Gas dispersion near a cubical model building. Part I. Mean concentration measurements. Journal of Wind Engineering and Industrial Aerodynamics, 12: 15–33.

    Article  Google Scholar 

  • Lien FS, Chen WL, Leschziner MA (1996). Low Reynolds-number eddy-viscosity modelling based on non-linear stress-strain/vorticity relations. Engineering Turbulence Modelling and Experiments, 3: 91–100.

    Article  Google Scholar 

  • Liu X, Niu J, Kwok KCS (2013). Evaluation of RANS turbulence models for simulating wind-induced mean pressures and dispersions around a complex-shaped high-rise building. Building Simulation, 6: 151–164.

    Article  Google Scholar 

  • Lumley JL (1970). Toward a turbulent constitutive relation. Journal of Fluid Mechanics, 41: 413–434.

    Article  Google Scholar 

  • Nisizima S, Yoshizawa A (1987). Turbulent channel and Couette flows using an anisotropic k-epsilon model. AIAA Journal, 25: 414–420.

    Article  MATH  Google Scholar 

  • Nisizima S (1990). A numerical study of turbulent square-duct flow using an anisotropic k-ɛ model. Theoretical and Computational Fluid Dynamics, 2: 61–71.

    Article  MATH  Google Scholar 

  • OpenFOAM (2013). OpenFOAM 2.2.2 User Guide. Available at http://www.openfoam.com/.

    Google Scholar 

  • Pope SB (1975). A more general effective-viscosity hypothesis. Journal of Fluid Mechanics, 72: 331–340.

    Article  MATH  Google Scholar 

  • Rahmatmand A, Yaghoubi M, Rad EG, Tavakol MM (2014). 3D experimental and numerical analysis of wind flow around domed-roof buildings with open and closed apertures. Building Simulation, 7: 305–319.

    Article  Google Scholar 

  • Rossi R, Philips DA, Iaccarino G (2010). A numerical study of scalar dispersion downstream of a wall-mounted cube using direct simulations and algebraic flux models. International Journal of Heat and Fluid Flow, 31: 805–819.

    Article  Google Scholar 

  • Rubinstein R, Barton JM (1990). Nonlinear Reynolds stress models and the renormalization group. Physics of Fluids A, 8: 1472–1476.

    Article  Google Scholar 

  • Rung T, Lübcke H, Franke M, Thiele F, Fu S (1999). Assessment of explicit algebraic stress models in transonic flows. Engineering Turbulence Modelling and Experiments, 4: 659–668.

    Google Scholar 

  • Shao J, Liu J, Zhao J (2012). Evaluation of various non-linear k-ɛ models for predicting wind flow around an isolated high-rise building within the surface boundary layer. Building and Environment, 57: 145–155.

    Article  Google Scholar 

  • Shen H, He Q, Liu Y, Zhang Y, Dong B (2014). A passive scalar sub-grid scale model and its application to airflow simulation around a building. Building Simulation, 7: 147–154.

    Article  Google Scholar 

  • Shih TH, Zhu J, Lumley JL (1993). A Realizable Reynolds Stress Algebraic Equation Model. Linthicum Heights, MD, USA: NASA Center for AeroSpace Information.

    Google Scholar 

  • Speziale CG (1987). On non-linear k-I and k-ɛ models of turbulence. Journal of Fluid Mechanics, 178: 459–475.

    Article  MATH  Google Scholar 

  • Taulbee DB, Sonnenmeier JR, Wall KM (1993). Application of a new non-linear stress strain model to axisymmetric turbulent swirling flows. Engineering Turbulence Modelling and Experiments, 2: 103–112.

    Article  Google Scholar 

  • Tominaga Y, Mochida A, Murakami S, Sawaki S (2008). Comparison of various revised k-ɛ models and LES applied to flow around a high-rise building model with 1:1:2 shape placed within the surface boundary layer. Journal of Wind Engineering and Industrial Aerodynamics, 96: 389–411.

    Article  Google Scholar 

  • Tominaga Y, Mochida A, Yoshie R, Kataoka H, Nozu T, Yoshikawa M, Shirasawa T (2008). AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings. Journal of Wind Engineering and Industrial Aerodynamics, 96: 1749–1761.

    Article  Google Scholar 

  • Tominaga Y, Stathopoulos T (2007). Turbulent Schmidt numbers for CFD analysis with various types of flowfield. Atmospheric Environment, 41: 8091–8099.

    Article  Google Scholar 

  • Tominaga Y, Stathopoulos T (2009). Numerical simulation of dispersion around an isolated cubic building: Comparison of various types of k-ɛ models. Atmospheric Environment, 43: 3200–3210.

    Article  Google Scholar 

  • Tominaga Y, Stathopoulos T (2010). Numerical simulation of dispersion around an isolated cubic building: Model evaluation of RANS and LES. Building and Environment, 45: 2231–2239.

    Article  Google Scholar 

  • Toparlar Y, Blocken B, Vos P, van Heijst GJF, Janssen WD, van Hooff T, Montazeri H, Timmermans HJP (2014). CFD simulation and validation of urban microclimate: A case study for Bergpolder Zuid, Rotterdam. Building and Environment, doi:10.1016/j.buildenv.2014.08.004.

    Google Scholar 

  • Versteeg HK, Malalasekera W (2007). An Introduction to Computational Fluid Dynamics: The Finite Volume Method. Harlow, UK: Pearson Education.

    Google Scholar 

  • Wallin S, Johansson AV (2000). An explicit algebraic Reynolds stress model for incompressible and compressible turbulent flows. Journal of Fluid Mechanics, 403: 89–132.

    Article  MATH  MathSciNet  Google Scholar 

  • Wright NG, Easom GJ (2003). Non-linear turbulence model results for flow over a building at full-scale. Applied Mathematical Modelling, 27: 1013–1033.

    Article  MATH  Google Scholar 

  • Yakhot V, Orszag SA, Thangam S, Gatski TB, Speziale CG (1992). Development of turbulence models for shear flows by a double expansion technique. Physics of Fluids A, 4: 1510–1520.

    Article  MATH  MathSciNet  Google Scholar 

  • Yoshie R, Jiang G, Shirasawa T, Chung J (2011). CFD simulations of gas dispersion around high-rise building in non-isothermal boundary layer. Journal of Wind Engineering and Industrial Aerodynamics, 99: 279–288.

    Article  Google Scholar 

  • Yoshizawa A (1984). Statistical analysis of the deviation of the Reynolds stress from its eddy viscosity representation. Physics of Fluids, 27: 1377–1387.

    Article  MATH  Google Scholar 

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Correspondence to Farzad Bazdidi-Tehrani.

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Bazdidi-Tehrani, F., Mohammadi-Ahmar, A., Kiamansouri, M. et al. Investigation of various non-linear eddy viscosity turbulence models for simulating flow and pollutant dispersion on and around a cubical model building. Build. Simul. 8, 149–166 (2015). https://doi.org/10.1007/s12273-014-0199-y

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  • DOI: https://doi.org/10.1007/s12273-014-0199-y

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