4.5 Article

Numerical simulation of particle formation and evolution in a vehicle exhaust plume using the bimodal Taylor expansion method of moments

Journal

PARTICUOLOGY
Volume 43, Issue -, Pages 46-55

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.partic.2018.02.003

Keywords

Vehicle exhaust particles; Bimodal Taylor expansion method of moments; Homogeneous nucleation; Coagulation; Tailpipe exit velocity; Sulfur content and ambient relative humidity

Funding

  1. General Research Fund, Research Grants Council of the Hong Kong Special Administrative Region, China [PolyU 5101/13E, PolyU 152125/15E]
  2. Central Research Grant of The Hong Kong Polytechnic University [B-Q39E, B-Q47Y]

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The bimodal Taylor expansion method of moments (B-TEMOM) model scheme was developed to simulate the formation and evolution of vehicle exhaust particles. Two independent types of log-normal particle size distributions were selected in the B-TEMOM model scheme, comprising large and small particles to represent background (i.e., the surrounding environment) and vehicle exhaust particles, respectively. Concentration distributions of exhaust and background particles derived using this model scheme were verified against results from a moving sectional method and the bimodal quadrature method of moments, showing excellent agreement. The effects of vehicle tailpipe exit conditions (e.g., exhaust particle concentrations and velocity), sulfur content, and relative humidity on the evolution of particles were investigated numerically. Both two-dimensional and three-dimensional numerical simulations showed that tailpipe exit velocity and relative humidity did not greatly affect the steady-state concentrations or the diameters of particles in urban atmospheres. Although an increase in sulfur content had little effect on the particle concentration, it led to background particles with larger geometric average diameter entering the environment. This coupled CFD-B-TEMOM numerical model provides a simple but accurate and efficient method for studying bimodal aerosol dynamics. (C) 2018 Published by Elsevier B.V. on behalf of Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences.

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