A variable turbulent Schmidt number formulation by numerical simulation of atmospheric plume dispersion

Majid Pourabdian, Mehdi Ebrahimi () and Mehran Qate ()
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Majid Pourabdian: Department of Aerospace Engineering, Sharif University of Technology, Tehran, Iran
Mehdi Ebrahimi: #x2020;Turbulence and Energy Laboratory Mechanical, Automotive and Materials Engineering, University of Windsor, Canada
Mehran Qate: Department of Aerospace Engineering, Sharif University of Technology, Tehran, Iran

International Journal of Modern Physics C (IJMPC), 2018, vol. 29, issue 04, 1-15

Abstract: Turbulent Schmidt number as an important parameter in computational fluid dynamic (CFD) simulations is strongly dependent on height, whereas it is mostly considered to be constant in the literature. This paper presents a new variable turbulent Schmidt number formulation which can calculate the relative concentrations (RCs) in neutral atmospheric conditions more accurately. To achieve this aim, RCs from continuous releases are calculated in different distances by the analytical Gaussian plume mode. CFD simulations are carried out for single stack dispersion on a flat terrain surface and an inverse procedure is then applied so that different turbulent Schmidt numbers are used as inputs to determine the RCs to select the “best-fit” turbulent Schmidt number value. This process is continued for different heights to fit a curve to obtain the new formulation for turbulent Schmidt number varying with height. The values are compared with experimental results. The comparison indicates that the new formulation for turbulent Schmidt number is more accurate and reliable than previous research works.

Keywords: Variable turbulent Schmidt number; Schmidt number; air pollution; plume dispersion; Gaussian model; CFD (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1142/S0129183118500353

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