“…The standard and low-Reynolds-number k-ε (Lien et al 1996) models with buoyancy production terms were used to model the turbulence. The dilute methane tracer was treated as an active scalar; i.e., its presence influences the bulk physical properties of the background fluid.…”
We compare computational fluid dynamics (CFD) predictions using a steady-state Reynolds Averaged Navier-Stokes (RANS) model with experimental data on airflow and pollutant dispersion under mixed-convection conditions in a 7 x 9 x 11m high experimental facility.The Rayleigh number, based on height, was O(10 11 ) and the atrium was mechanically ventilated. We released tracer gas in the atrium and measured the spatial distribution of concentrations; we then modeled the experiment using four different levels of modeling detail.The four computational models differ in the choice of temperature boundary conditions and the choice of turbulence model. Predictions from a low-Reynolds-number k-ε model with detailed boundary conditions agreed well with the data using three different model-measurement comparison metrics. Results from the same model with a single temperature prescribed for each wall also agreed well with the data. Predictions of a standard k-ε model were about the same as those of an isothermal model; neither performed well.Implications of the results for practical applications are discussed.
“…The standard and low-Reynolds-number k-ε (Lien et al 1996) models with buoyancy production terms were used to model the turbulence. The dilute methane tracer was treated as an active scalar; i.e., its presence influences the bulk physical properties of the background fluid.…”
We compare computational fluid dynamics (CFD) predictions using a steady-state Reynolds Averaged Navier-Stokes (RANS) model with experimental data on airflow and pollutant dispersion under mixed-convection conditions in a 7 x 9 x 11m high experimental facility.The Rayleigh number, based on height, was O(10 11 ) and the atrium was mechanically ventilated. We released tracer gas in the atrium and measured the spatial distribution of concentrations; we then modeled the experiment using four different levels of modeling detail.The four computational models differ in the choice of temperature boundary conditions and the choice of turbulence model. Predictions from a low-Reynolds-number k-ε model with detailed boundary conditions agreed well with the data using three different model-measurement comparison metrics. Results from the same model with a single temperature prescribed for each wall also agreed well with the data. Predictions of a standard k-ε model were about the same as those of an isothermal model; neither performed well.Implications of the results for practical applications are discussed.
“…In this work, the experiments of MacGregor and Emery [10] have been analyzed. In these experiments measurements of net heat transfer were performed in a rectangular cavity for Pr numbers of 1 to 20,000, aspect ratios H/W = 10, 20, and 40, and Ra values of: 10 4 < Ra < 10 12 .…”
Section: Simulation Of Heat Transfer In Cavitiesmentioning
“…Therefore, it is clear that the employment of models (e.g. wall functions, two-layer [16] and low Reynolds formulation [12]) which are based on theoretical and experimental analysis of fully turbulent flows is not obvious to provide satisfying results in wall-bounded conditions.…”
Section: Wall Treatment: Fully Developed Pipe At Transitional Rementioning
confidence: 99%
“…In further analysis, two basic approaches are employed to solve the region close to the wall, namely two-layer (Wolfshtein [16]) and low-Re as shown by Lien [12]. Simulation was carried out with a three-dimensional pipe of Re = 5,000 for water with periodic conditions.…”
Section: Wall Treatment: Fully Developed Pipe At Transitional Rementioning
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