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Research Article

Numerical investigation of indoor particulate contaminant transport using the Eulerian-Eulerian and Eulerian-Lagrangian two-phase flow models

Yihuan Yan1Xiangdong Li1Kazuhide Ito1,2( )
School of Engineering, RMIT University, PO Box 71, Bundoora, VIC 3083, Australia
Faculty of Engineering Sciences, Kyushu University, Fukuoka, Japan
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Abstract

Transport of micron particles in a displacement ventilated room was simulated using both the Eulerian-Eulerian model and the Eulerian-Lagrangian model. The same inter-phase action mechanisms were included in both models. The models were compared against each other in the aspects of air velocity, particle concentration, and particle-wall interactions. It was found that the two models have similar accuracy in predicting the airflow field while each of them has its own advantage and drawback in modelling particle concentration and particle-wall interactions. The E-E model is capable of providing a mechanistic description of the inter-phase interactions, whilst the E-L model has obvious advantage in modelling particle-wall interactions. Advices were given for choosing an appropriate model for modelling particulate contaminant transport in indoor environments.

References

 
Ansys, I. 2011. ANSYS CFX-Solver Theory Guide. Canonsburg, PA, Southpointe.
 
Armand, P., Boulaud, D., Pourprix, M., Vendel, J. 1998. Two-fluid modeling of aerosol transport in laminar and turbulent flows. J Aerosol Sci, 29: 961-983.
 
ASHRAE. 2013a. 2013 ASHRAE Handbook—Fundamentals. Atlanta.
 
ASHRAE. 2013b. Standard 62.1-2013—Ventilation for Acceptable Indoor Air Quality (ANSI Approved). Atlanta, ASHRAE.
 
Bjorn, E., Nielsen, P. V. 2002. Dispersal of exhaled air and personal exposure in displacement ventilated rooms. Indoor Air, 12: 147-164.
 
Buonanno, G., Marks, G. B., Morawska, L. 2013. Health effects of daily airborne particle dose in children: Direct association between personal dose and respiratory health effects. Environ Pollut, 180: 246-250.
 
Chang, K. H., Kao, H. M., Chang, T. J. 2012a. Lagrangian modeling of particle concentration distribution in indoor environment with different kernel functions and particle search algorithms. Build Environ, 57: 81-87.
 
Chang, T. J., Chang, K. H., Kao, H. M., Chang, Y. S. 2012b. Comparison of a new kernel method and a sampling volume method for estimating indoor particulate matter concentration with Lagrangian modeling. Build Environ, 54: 20-28.
 
Chen, F. Z., Yu, S. C. M., Lai, A. C. K. 2006. Modeling particle distribution and deposition in indoor environments with a new drift-flux model. Atmos Environ, 40: 357-367.
 
Chen, X. Z., Wang, J. W. 2014. A comparison of two-fluid model, dense discrete particle model and CFD-DEM method for modeling impinging gas-solid flows. Powder Technol, 254: 94-102.
 
Craven, B. A., Settles, G. S. 2006. A computational and experimental investigation of the human thermal plume. J Fluid Eng, 128: 1251-1258.
 
Fucic, A., Fucic, L., Katic, J., Stojković, R., Gamulin, M., Seferović, E. 2011. Radiochemical indoor environment and possible health risks in current building technology. Build Environ, 46: 2609-2614.
 
Li, X. D., Inthavong, K., Ge, Q. J., Tu, J. Y. 2013. Numerical investigation of particle transport and inhalation using standing thermal manikins. Build Environ, 60: 116-125.
 
Longest, P. W., Kleinstreuer, C., Buchanan, J. R. 2004. Efficient computation of micro-particle dynamics including wall effects. Comput Fluids, 33: 577-601.
 
Mohanarangam, K., Tu, J. Y. 2007. Two-fluid model for particle-turbulence interaction in a backward-facing step. AIChE J, 53: 2254-2264.
 
Mølhave, L., Kjærgaard, S. K., Attermann, J. 2000. Sensory and other neurogenic effects of exposures to airborne office dust. Atmos Environ, 34: 4755-4766.
 
Rim, D., Novoselac, A. 2009. Transport of particulate and gaseous pollutants in the vicinity of a human body. Build Environ, 44: 1840-1849.
 
Rothman, R. E., Hsieh, Y. H., Yang, S. 2006. Communicable respiratory threats in the ED: Tuberculosis, influenza, SARS, and other aerosolized infections. Emerg Med Clin N Am, 24: 989-1017.
 
Salmanzadeh, M., Zahedi, G., Ahmadi, G., Marr, D. R., Glauser, M. 2012. Computational modeling of effects of thermal plume adjacent to the body on the indoor airflow and particle transport. J Aerosol Sci, 53: 29-39.
 
Sørensen, D. N., Voigt, L. K. 2003. Modelling flow and heat transfer around a seated human body by computational fluid dynamics. Build Environ, 38: 753-762.
 
Tu, J. Y., Fletcher, C. A. J. 1994. An improved model for particulate turbulence modulation in confined two-phase flows. Int Commun Heat Mass, 21: 775-783.
 
Tu, J. Y., Fletcher, C. A. J. 1995. Numerical computation of turbulent gas-solid particle flow in a 90° bend. AIChE J, 41: 2187-2197.
 
Zhang, Z., Chen, Q. 2007. Comparison of the Eulerian and Lagrangian methods for predicting particle transport in enclosed spaces. Atmos Environ, 41: 5236-5248.
 
Zhao, B., Yang, C. Q., Yang, X. D., Liu, S. K. 2008. Particle dispersion and deposition in ventilated rooms: Testing and evaluation of different Eulerian and Lagrangian models. Build Environ, 43: 388-397.
Experimental and Computational Multiphase Flow
Pages 31-40
Cite this article:
Yan Y, Li X, Ito K. Numerical investigation of indoor particulate contaminant transport using the Eulerian-Eulerian and Eulerian-Lagrangian two-phase flow models. Experimental and Computational Multiphase Flow, 2020, 2(1): 31-40. https://doi.org/10.1007/s42757-019-0016-z

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Received: 18 February 2019
Revised: 20 March 2019
Accepted: 20 March 2019
Published: 09 May 2019
© Tsinghua University Press 2019
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