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Research Article

Transient particle transport prediction based on lattice Boltzmann method-based large eddy simulation and Markov chain model

Mengqiang Hu1,2,3, Zongxing Zhang1,2, Meng Liu3,4,5( )
Systems Engineering Institute, Academy of Military Sciences, China
National Bio-Protection Engineering Center of China, Tianjin 300161, China
School of Civil Engineering, Chongqing University, Chongqing 400044, China
Joint International Research Laboratory of Green Buildings and Built Environments (Ministry of Education), Chongqing University, Chongqing 400044, China
National Centre for International Research of Low-carbon and Green Buildings, Chongqing University, Chongqing 400044, China
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Abstract

Fast and accurate prediction of particle transport is essential for the determination of as-needed mitigation strategies to improve indoor air quality. Several methods have been proposed to achieve this goal. However, they mainly based on the Reynolds-averaged Navier-Stokes (RANS) approach, which may affect the accuracy of particle calculations. Considering the lattice Boltzmann method (LBM) can execute high-speed large eddy simulation (LES) while Markov chain model performs well for particle calculations. This study proposed an LBM-LES-Markov-chain framework for indoor transient particle transport simulation. The performance of the proposed framework was investigated in a two-zone ventilated chamber, and compared to the CFD-LES based models. Results show that the proposed framework is as accurate as but faster than the CFD-LES based models. The mean normalized root-mean-square deviations of the proposed model is 12%, similar to the CFD-LES-Lagrangian (15%) and CFD-LES-Eulerian (13%) models. The computing time of the proposed model is 5.66 h, shorter than the CFD-LES-Lagrangian (153 h) and CFD-LES-Eulerian (15.03 h) models. Furthermore, we further compared the framework with CFD-RNG based Markov chain model, CFD-RANS based models, and FFD-Markov-chain model and found that it is an alternative for the fast prediction of indoor particle concentration.

Keywords

CFDparticle transportlarge eddy simulationlattice Boltzmann methodMarkov chain model

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Building Simulation
Volume 16 Issue 7,
July 2023
Pages 1135-1148
DOI: 10.1007/s12273-023-0995-3
Cite this article:
Hu M, Zhang Z, Liu M. Transient particle transport prediction based on lattice Boltzmann method-based large eddy simulation and Markov chain model. Building Simulation, 2023, 16(7): 1135-1148. https://doi.org/10.1007/s12273-023-0995-3

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Received: 25 November 2022
Revised: 12 January 2023
Accepted: 30 January 2023
Published: 08 May 2023
© Tsinghua University Press 2023
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