Skip Navigation Links
Journal of Environmental Accounting and Management
António Mendes Lopes (editor), Jiazhong Zhang(editor)
António Mendes Lopes (editor)

University of Porto, Portugal

Email: aml@fe.up.pt

Jiazhong Zhang (editor)

School of Energy and Power Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi Province 710049, China

Fax: +86 29 82668723 Email: jzzhang@mail.xjtu.edu.cn


Large Eddy Simulation of Gas Diffusion Process in Open Space under Wind Effect

Journal of Environmental Accounting and Management 11(4) (2023) 419--428 | DOI:10.5890/JEAM.2023.12.004

Meijiao Song$^1$, Xu Sun$^1$, Wenxin Li$^2$, Huang Tang$^3$, Zicheng Liu$^3$, Wanfei Jiang$^3$, Jingmin Zhang$^3$, Wei Tang$^3$, Kai Wen$^1$

Download Full Text PDF

 

Abstract

In this paper, the large eddy simulation (LES) method is applied to gas diffusion process in open space under wind effect. Firstly, the governing equations of gas diffusion employed in LES are introduced, and the corresponding solution procedure is discussed. Subsequently, using LES with DSM subgrid-scale model, the diffusion process of the methane discharging from a chimney under wind effect is simulated, and the lateral and vertical distribution patterns of methane concentration in the wake of the chimney are compared with the experimental results, to examine the accuracy and stability of LES in simulating the diffusion process of light gas in open space. Finally, using the full-scale experimental results concerning diffusion of the mixture gas of nitrogen and Freon-12, the accuracy of LES in simulating heavy gas diffusion is examined, and the advantage of LES over Reynolds-averaged Navier-Stokes (RANS) method in computing the unsteady gas diffusion process is examined. For both cases considering light gas and heavy gas, the numerical results from LES show very good agreement with the experimental results, indicating its potential in simulating the gas discharging or leakage process in various industrial applications.

References

  1. [1]  Goldwire, H.C., Rodean, H.C., Cederwall, R.T., Kansa, E.J., and Koopman, R.P. (1983), Coyote Series Data Report. LLNL/NWC 1981 LNG spill tests dispersion, vapor burn, and rapid-phase-transition. Volume 2.
  2. [2]  Koopman, R.P., Baker, J., Cederwall, R.T., Goldiwre, H.C. and Hogan, W.J. (1982), LLNL/NWC 1980 LNG spill tests. Burro series data report, United States.
  3. [3]  Puttock, J.S., Colenbrander, G.W., and Blackmore, D.R. (1983), Maplin sands experiments 1980: dispersion results from continuous releases of refrigerated liquid propane, In Heavy gas and risk assessment II, 147-161
  4. [4]  Spicer, T.O. and Havens, J.A. (1985), Modeling the phase I Thorney Island experiments. Journal of Hazardous Materials, 11, 237-260.
  5. [5]  Mcquaid, J. (1985), Objectives and design of the phase I heavy gas dispersion trials, Journal of Hazardous Materials, 11, 1-33.
  6. [6]  Davies, M.E. and Singh, S. (1985). The phase II trials: A data set on the effect of obstructions, Journal of Hazardous Materials, 11, 301-323.
  7. [7]  Huber, A.H. and Snyder, W.H. (1982), Wind tunnel investigation of the effects of a rectangular-shaped building on dispersion of effluents from short adjacent stacks, Atmospheric Environment (1967), 12(16), 2837-2848.
  8. [8]  Heidorn, K.C., Murphy, M.C., Irwin, P.A., Sahota, H., Misra, P.K. and Bloxam, R. (1992), Effects of obstacles on the spread of a heavy gas---Wind tunnel simulations, Journal of Hazardous Materials, 30(2), 151-194.
  9. [9]  Havens, J., Walker, H., and Thomas, O.S. (2001). Wind tunnel study of air entrainment into two-dimensional dense gas plumes at the Chemical Hazards Research Center, Atmospheric Environment, 35(13), 2305-2317.
  10. [10]  Robins, A., Castro, I., Hayden, P., Steggel, N., Contini, D., and Heist, D. (2001), A wind tunnel study of dense gas dispersion in a neutral boundary layer over a rough surface, Atmospheric Environment, 35(13), 2253-2263.
  11. [11]  Schmidt, D., Krause, U., and Schmidtchen, U. (1999), Numerical simulation of hydrogen gas releases between buildings, International Journal of Hydrogen Energy, 24(5), 479-488.
  12. [12]  H{e}ctor, A.O. and Ahsan, R.C. (2006), Numerical simulation of hydrogen dispersion in the vicinity of a cubical building in stable stratified atmospheres. International Journal of Hydrogen Energy, 31(15), 2356-2369.
  13. [13]  Tauseef, S.M., Rashtchian, D., and Abbasi, S.A. (2011), CFD-based simulation of dense gas dispersion in presence of obstacles, Journal of Loss Prevention in the Process Industries, 24(4), 371-376.
  14. [14]  Gousseau, P., Locken, B.B., and Heijst, G. (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.
  15. [15]  Almanza, V.H., Molina, L.T., and Sosa, G. (2012), Soot and SO${}_{2}$ contribution to the supersites in the MILAGRO campaign from elevated flares in the Tula Refinery, Atmospheric Chemistry and Physics, 12(21), 10583-10599.
  16. [16]  Nourbakhsh, H., Mowla, D., and Esmaeilzadeh, F. (2013), Predicting the three dimensional distribution of gas pollutants for industrial-type geometries in the south pars gas complex using computational fluid dynamics, Industrial \& Engineering Chemistry Research, 52(19), 6559-6570.
  17. [17]  Pope, S.B. (2000), Turbulent Flows, Cambridge: Cambridge University Press.
  18. [18]  Hinze, J.O. and Uberoi, M.S. (1975), Turbulence, Journal of Applied Mechanics, 27(3), 256-275.