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Evaluation of RSM for Simulating Dispersion of CO2 Cloud in Flat and Urban Terrains

Category: Air Pollution Modeling

Volume: 19 | Issue: 2 | Pages: 390-398
DOI: 10.4209/aaqr.2018.09.0328

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Chaojie Li, Liyan Liu , Wei Tan

  • School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China


Simulations of CO2 dispersion with stress-ω and SST k-ω models are conducted.
Simulation results are compared with experimental data for evaluation of RSM.
Stress-ω model exhibits better performance in flat terrain.
Performance of stress-ω model is worse than that of SST k-ω model in urban terrain.


Accurate and reliable computational fluid dynamics (CFD) simulation of pollutant dispersion is essential for protecting human health, and the choice of turbulence model is an important parameter determining the accuracy of simulation results. This paper evaluates the ability of Reyonds stress model (RSM) to predict dispersion of carbon dioxide (CO2) cloud, which is a typical type of heavy gas and similar to some particulate pollutants, in flat and urban terrains. The RSM simulation is conducted with stress-ω model, whereas SST k-ω two-equation model is selected as the benchmark. The simulation results are compared with the available wind tunnel measurements, and statistical performance indicators are used to obtain a comprehensive and quantitative evaluation of the performances of the two turbulence models. The results reveal that stress-ω model exhibits different capacities in flat terrain and urban terrain. Specifically, stress-ω model can present better results than SST k-ω model in flat terrain, and it performs better in the far-field region than in the near-field region. Although SST k-ω model can describe CO2 dispersion more accurately in urban terrain, the concentration distribution reproduced by stress-ω model is still within acceptable range.


Flat terrain Urban terrain Stress-ω SST k-ω

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