On the Numerical Study of Indoor Particle Dispersion and Spatial Distribution
In this paper, particle dispersion and spatial distribution in a full scale (5.5 m x 2.4 m x 3.7 m) forced ventilated room are investigated using four different multiphase flow models, including passive scalar model, discrete particle phase model, mixture model and Eulerian model. The main differenc...
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2012-01-01
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Series: | Air, Soil and Water Research |
Online Access: | https://doi.org/10.4137/ASWR.S8113 |
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doaj-5b1f2781f78e40d2814f6b17a95420852020-11-25T03:00:30ZengSAGE PublishingAir, Soil and Water Research1178-62212012-01-01510.4137/ASWR.S8113On the Numerical Study of Indoor Particle Dispersion and Spatial DistributionJianbo Jiang0Xinlei Wang1Monell Chemical Senses Center, Philadelphia, PA 19104.Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign. University of Illinois, Urbana, IL 61801.In this paper, particle dispersion and spatial distribution in a full scale (5.5 m x 2.4 m x 3.7 m) forced ventilated room are investigated using four different multiphase flow models, including passive scalar model, discrete particle phase model, mixture model and Eulerian model. The main differences between these four models lie in how the particles are modeled. A two layer k-∊ turbulence model is used to calculate airflows. Simulated airflow characteristics and particle concentration are compared with corresponding experimental data. The results show that only discrete particle phase model could predict particle concentration distribution close to experimental values and satisfy the published validation criteria (ASTM D5157-97). The reasons for the failure and success of these models in the present case are discussed. Furthermore, the effects of turbulence models of airflows and treatment of boundary conditions on the particle concentration are also investigated.https://doi.org/10.4137/ASWR.S8113 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jianbo Jiang Xinlei Wang |
spellingShingle |
Jianbo Jiang Xinlei Wang On the Numerical Study of Indoor Particle Dispersion and Spatial Distribution Air, Soil and Water Research |
author_facet |
Jianbo Jiang Xinlei Wang |
author_sort |
Jianbo Jiang |
title |
On the Numerical Study of Indoor Particle Dispersion and Spatial Distribution |
title_short |
On the Numerical Study of Indoor Particle Dispersion and Spatial Distribution |
title_full |
On the Numerical Study of Indoor Particle Dispersion and Spatial Distribution |
title_fullStr |
On the Numerical Study of Indoor Particle Dispersion and Spatial Distribution |
title_full_unstemmed |
On the Numerical Study of Indoor Particle Dispersion and Spatial Distribution |
title_sort |
on the numerical study of indoor particle dispersion and spatial distribution |
publisher |
SAGE Publishing |
series |
Air, Soil and Water Research |
issn |
1178-6221 |
publishDate |
2012-01-01 |
description |
In this paper, particle dispersion and spatial distribution in a full scale (5.5 m x 2.4 m x 3.7 m) forced ventilated room are investigated using four different multiphase flow models, including passive scalar model, discrete particle phase model, mixture model and Eulerian model. The main differences between these four models lie in how the particles are modeled. A two layer k-∊ turbulence model is used to calculate airflows. Simulated airflow characteristics and particle concentration are compared with corresponding experimental data. The results show that only discrete particle phase model could predict particle concentration distribution close to experimental values and satisfy the published validation criteria (ASTM D5157-97). The reasons for the failure and success of these models in the present case are discussed. Furthermore, the effects of turbulence models of airflows and treatment of boundary conditions on the particle concentration are also investigated. |
url |
https://doi.org/10.4137/ASWR.S8113 |
work_keys_str_mv |
AT jianbojiang onthenumericalstudyofindoorparticledispersionandspatialdistribution AT xinleiwang onthenumericalstudyofindoorparticledispersionandspatialdistribution |
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1724697794343600128 |