Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22514
Title: Numerical simulation for nucleated vehicle exhaust particulate matters via the temom/les method
Authors: Yu, M
Lin, J
Chan, T 
Keywords: Coagulation
Condensation
Nucleation
TEMOM method
Vehicle exhaust plume
Issue Date: 2009
Publisher: World Scientific
Source: International journal of modern physics C, 2009, v. 20, no. 3, p. 399-421 How to cite?
Journal: International journal of modern physics C 
Abstract: The combination of large eddy simulation (LES) and newly proposed Taylor-series expansion method of moments (TEMOM) is performed for simulating particulate matters emitted from vehicle engine tailpipe. The momentum, heat and mass transfer, binary homogeneous nucleation, Brownian coagulation, Brownian and turbulent diffusion, condensation and thermophoresis are simultaneously taken into account. Good agreements between the experimental and simulated results with respect to the pollutant dispersion are obtained. Compared to other published methods, the present TEMOM requires the least computational time with much accuracy for predicting nanoparticle dynamics. The instantaneous results show that large eddies dominate the evolution of particulate dynamics as exhaust develops, while binary homogeneous sulfuric-water nucleation mainly appears at the interface between the exhaust and ambient cool gases. The increasing of fuel sulfur content and relative humidity or the decreasing of environment temperature leads to an increase in particulate product rate, while volume-averaged particle diameter increases with increasing fuel sulfur content and environment temperature. The variation of geometric standard deviation suggests the nucleated particles eventually approach the asymptotic distribution in the dilution atmosphere, and this distribution is independent of the fuel sulfur content. The variance of upstream turbulence intensity significantly affects the evolution of particulate matters inside the plume.
URI: http://hdl.handle.net/10397/22514
ISSN: 0129-1831
EISSN: 1793-6586
DOI: 10.1142/S0129183109013753
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