Comparison of RANS, URANS and LES in the Prediction of Airflow and Pollutant Dispersion

The performance of three different numerical techniques, i.e. RANS, URANS and LES are compared to determine their suitability in the prediction of urban airflow and pollutant dispersion process. The CFD codes are evaluated against wind tunnel experimental data, and it is observed that LES although more computationally expensive, produces the most accurate and reliable results because it resolves the turbulent mixing process in the flow field. URANS, albeit solving for the transient solution, fails to account for the unsteady fluctuations and hence is not an appropriate replacement for LES.

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