Prediction of Particle Deposition onto Indoor Surfaces by CFD with a Modified Lagrangian Method
Accurate prediction of particle deposition indoors is important in estimating 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 -v2 -f turbulence model with a modified Lagrangian method to predict the particle deposition in enclosed environments.The -v2 -f model can accurately calculate the normal turbulence fluctuation -v2 ,which mainly represents the anisotropy of turbulence near walls.Based on the predicted -v2 ,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.This study concluded that the Lagrangian method can predict indoor particle deposition with reasonably good accuracy provided that the near-wall turbulence and its interactions with particles are correctly modeled.
Particle deposition Lagrangian method CFD V2f Indoor environmet
Zhao Zhang Qingyan Chen
Ray W.Herrick Laboratories,Purdue University,West Lafayette,Indiana,USA
国际会议
The First International Conference on Building Energy and Environment(第一届建筑能源与环境国际会议)
大连
英文
1851-1858
2008-07-01(万方平台首次上网日期,不代表论文的发表时间)