Numerical study on the effect of buoyancy-driven pollution source on vortex ventilation performance

Cao, Zhixiang; Bai, Yuqing; Wang, Yi; An, Yifan; Zhang, Chen; Zhao, Tian; Zhai, Chao; Lv, Wenchao; Zhou, Yu; Wu, Songheng

doi:10.1016/j.buildenv.2022.109634

Cited by 11 publications

(1 citation statement)

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“…Conducting experimental studies to devise pollutant control strategies is often costly and limited in scope. As a result, CFD has emerged as the primary method for investigating indoor environmental control in industrial factories [35][36][37][38][39][40]. However, existing research primarily focuses on particle transmission in residential buildings, with limited attention given to industrial factory settings.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study of Indoor Oil Mist Particle Concentration Distribution in an Industrial Factory Using the Eulerian–Eulerian and Eulerian–Lagrangian Methods

Wang,

Sun,

Zhao

et al. 2023

Fluids

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The transport and prediction of the concentration of particles in confined spaces are crucial for human well-being; this has become particularly evident during the current worldwide pandemic. Computational fluid dynamics (CFD) has been widely used for such predictions, relying on Eulerian–Eulerian (EE) and Eulerian–Lagrangian (EL) models to study particle flow. However, there is a lack of research on industrial factories. In this study, a scaled laboratory in an industrial factory was established for oil mist particles in a machining factory, and oil mist dispersion experiments were conducted under roof exhaust and mixed ventilation conditions. After that, the oil mist concentration distribution in the factory under the same working conditions was calculated by Eulerian and Lagrangian methods, and the corresponding calculation errors and resource consumption were compared. It was found that the simulation results of both methods are acceptable for mixed ventilation and roof exhaust ventilation systems. When there are more vortices in the factory, the Lagrangian method increases the computation time by more than 53% to satisfy the computational accuracy, and the computational error between the Eulerian and Lagrangian methods becomes about 10% larger. For oil mist particles with an aerodynamic diameter of 0.5 μm, both Eulerian and Lagrangian methods have reliable accuracy. Based on the same flow field, the Lagrangian method consumes more than 400 times more computational resources than the Eulerian method. This study can provide a reference for the simulation of indoor particulate transport in industrial factories.

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