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CFD Simulation of Near-Field Pollutant Dispersion on a High-Resolution Grid: A Case Study by LES and RANS for a Building Group in Downtown Montreal

Title:

CFD Simulation of Near-Field Pollutant Dispersion on a High-Resolution Grid: A Case Study by LES and RANS for a Building Group in Downtown Montreal

Gousseau, P., Blocken, B., Stathopoulos, T. and van Heijst, G. J. F. (2011) CFD Simulation of Near-Field Pollutant Dispersion on a High-Resolution Grid: A Case Study by LES and RANS for a Building Group in Downtown Montreal. Atmospheric Environment, 45 (2). pp. 266-279.

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Official URL: http://dx.doi.org/10.1016/j.atmosenv.2010.09.065

Abstract

Turbulence modeling and validation by experiments are key issues in the simulation of micro-scale atmospheric dispersion. This study evaluates the performance of two different modeling approaches (RANS standard k-ε and LES) applied to pollutant dispersion in an actual urban environment: downtown Montreal. The focus of the study is on near-field dispersion, i.e. both on the prediction of pollutant concentrations in the surrounding streets (for pedestrian outdoor air quality) and on building surfaces (for ventilation system inlets and indoor air quality). The high-resolution CFD simulations are performed for neutral atmospheric conditions and are validated by detailed wind-tunnel experiments. A suitable resolution of the computational grid is determined by grid-sensitivity analysis. It is shown that the performance of the standard k-ε model strongly depends on the turbulent Schmidt number, whose optimum value is case-dependent and a priori unknown. In contrast, LES with the dynamic subgrid-scale model shows a better performance without requiring any parameter input to solve the dispersion equation.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Building, Civil and Environmental Engineering
Item Type:Article
Refereed:Yes
Authors:Gousseau, P. and Blocken, B. and Stathopoulos, T. and van Heijst, G. J. F.
Journal or Publication:Atmospheric Environment
Date:2011
Digital Object Identifier (DOI):10.1016/j.atmosenv.2010.09.065
ID Code:981682
Deposited By: THEODORE STATHOPOULOS
Deposited On:15 Sep 2016 13:34
Last Modified:18 Jan 2018 17:53
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