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CFD simulations of near-field pollutant dispersion with different plume buoyancies


CFD simulations of near-field pollutant dispersion with different plume buoyancies

Tominaga, Yoshihide and Stathopoulos, Ted (2018) CFD simulations of near-field pollutant dispersion with different plume buoyancies. Building and Environment . ISSN 03601323 (In Press)

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Official URL: http://dx.doi.org/10.1016/j.buildenv.2018.01.008


This study performs computational fluid dynamics simulations for flow and dispersion fields around an isolated cubic building model with tracer gases being exhausted from an exit behind the building. The tracer gases have three different buoyancies according to the difference in density with ambient air and, therefore, behave as neutral, light, and heavy gases. The performance of steady Reynolds-averaged Navier–Stokes (RANS) simulations with the Boussinesq approximation is examined herein by comparing the simulation results with the experimental results for different plume buoyancies. The steady RANS computations can generally reproduce the impact of plume buoyancy on the mean concentration in the experimental results even if the model performance for heavy gases is better than that for light gases and worse than that for neutral gases. This tendency is closely related to the prediction accuracy of the mean velocity and turbulent kinetic energy behind the building, which is restricted by the steady RANS simulations. The study also confirmed that the buoyancy modeling in the ε equation shows a negligible influence on the results.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering
Item Type:Article
Authors:Tominaga, Yoshihide and Stathopoulos, Ted
Journal or Publication:Building and Environment
Date:9 January 2018
Digital Object Identifier (DOI):10.1016/j.buildenv.2018.01.008
Keywords:CFD; Plume buoyancy; Near-field dispersion; Cubical building
ID Code:983391
Deposited On:10 Jan 2018 19:38
Last Modified:01 Jan 2019 01:00


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