Prediction of particle deposition onto indoor surfaces by CFD with a modified Lagrangian method

被引:162
作者
Zhang, Z. [1 ]
Chen, Q. [1 ]
机构
[1] Purdue Univ, Sch Mech Engn, Natl Air Transportat Ctr Excellence Res Intermoda, W Lafayette, IN 47907 USA
关键词
Particle deposition; Lagrangian method; CFD; v2f; Indoor environment; PARTICULATE AIR-POLLUTION; TURBULENT DUCT FLOWS; VENTILATED ROOMS; SMOOTH SURFACES; CHANNEL FLOW; TRANSPORT; MODEL; CHAMBER; RATES; MASS;
D O I
10.1016/j.atmosenv.2008.09.041
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Accurate prediction of particle deposition indoors is important to estimate exposure risk of building occupants to particulate matter. The prediction requires accurate modeling of airflow, turbulence, and interactions between particles and eddies close to indoor surfaces. This study used a (v'(2)) over bar - f turbulence model with a modified Lagrangian method to predict the particle deposition in enclosed environments. The (v'(2)) over bar - f model can accurately calculate the normal turbulence fluctuation (v'(2)) over bar, which mainly represents the anisotropy of turbulence near walls. Based on the predicted (v'(2)) over bar, we proposed an anisotropic particle-eddy interaction model for the prediction of particle deposition by the Lagrangian method. The model performance was assessed by comparing the computed particle deposition onto differently oriented surfaces with the experimental data in a turbulent channel flow and in a naturally convected cavity available from the literature. The predicted particle deposition velocities agreed reasonably with the experimental data for different sizes of particles ranging from 0.01 mu m to 50 mu m in diameter. This study concluded that the Lagrangian method can predict indoor particle deposition with reasonable accuracy provided the near-wall turbulence and its interactions with particles are correctly modeled. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:319 / 328
页数:10
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