AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Building Simulation Article
Article Link
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article

Particle transport characteristics in indoor environment with an air cleaner: The effect of nonuniform particle distributions

Lin Chen, Xinming Jin, Lijun Yang( ), Xiaoze Du, Yongping Yang
Key Laboratory of Condition Monitoring and Control for Power Plant Equipments of Ministry of Education, School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing, China
Show Author Information

Abstract

Air cleaners are expected to improve the indoor air quality by removing the gaseous contaminants and fine particles. In our former work, the effects of the air cleaner on removing the uniformly distributed particles were numerically investigated. Based on those results, this work further explores the performances of the air cleaner in the reduction of two nonuniform particle distributions generated by smoking and coughing. The Lagrangian discrete trajectory model combined with the Eulerian fluid method is employed to simulate the airflow pattern and particle transport in a room. In general, the results show that the particle fates have been resulted from the interaction between the emitting source and the air cleaner. And the position of the air cleaner is a key parameter affecting the particle concentration, for which a shorter distance between the air cleaner and the human body corresponds to a lower concentration. Besides, the air velocity emitted from the human mouth and the orientation of the air cleaner can also influence the transport of particles.

Keywords

indoor environmentnonuniform particle distributionair cleanerparticle trajectory model

References

 
ANSYS (2009). ANSYS FLUENT 12.0 Theory Guide. Canonsburg, PA, USA: ANSYS Inc.
 
SR Ardkapan, A Afshari, NC Bergsøe, P Nielsen (2014). Evaluation of air cleaning technologies existing in the Danish market: Experiments in a duct and in a test room. Indoor and Built Environment, 23: 1177–1186.
Crossref Google Scholar
 
S-J Cao, J Meyers (2015). Fast prediction of indoor pollutant dispersion based on reduced-order ventilation models. Building Simulation, 8: 415–420.
Crossref Google Scholar
 
C Chen, B Zhao, W Cui, L Dong, N An, X Ouyang (2010). The effectiveness of an air cleaner in controlling droplet/aerosol particle dispersion emitted from a patient’s mouth in the indoor environment of dental clinics. Journal of the Royal Society Interface, 7:1105–1118.
Crossref Google Scholar
 
Y Chen, A Ebenstein, M Greenstone, HB Li (2013). Evidence on the impact of sustained exposure to air pollution on life expectancy from China’s Huai River policy. Proceedings of the National Academy of Sciences (PNAS), 110: 12936–12941.
Crossref Google Scholar
 
DW Dockery, CA Pope, X Xu, JD Spengler, JH Ware, ME Fay, BJ Ferris Jr, FE Speizer (1993). An association between air pollution and mortality in six U.S. cities. The New England Journal of Medicine, 329: 1753–1759.
Crossref Google Scholar
 
N Gao, J Niu (2004). CFD study on micro-environment around human body and personalized ventilation. Building and Environment, 39: 795–805.
Crossref Google Scholar
 
Q Ge, X Li, K Inthavong, J Tu (2013). Numerical study of the effects of human body heat on particle transport and inhalation in indoor environment. Building and Environment, 59: 1–9.
Crossref Google Scholar
 
I Hörschler, W Schröder, M Meinke (2010). On the assumption of steadiness of nasal cavity flow. Journal of Biomechanics, 43: 1081–1085.
Crossref Google Scholar
 
X Jin, L Yang, X Du, Y Yang (2015). Particle transport characteristics in indoor environment with an air cleaner. Indoor and Built Environment, doi: .
Crossref Google Scholar
 
SY Kang, J Siegel, A Novoselac (2008). Effective positioning of portable air cleaning devices in multizone residential buildings. In: Proceedings of Indoor Air, Copenhagen, Denmark.
 
NE Klepeis, WC Nelson, WR Ott, JP Robinson, AM Tsang, P Switzer, JV Behar, SC Hern, WH Engelmann (2001). The National Human Activity Pattern Survey (NHAPS): A resource for assessing exposure to environmental pollutants. Journal of Exposure Analysis and Environmental Epidemiology, 11: 231–252.
Crossref Google Scholar
 
ACK Lai, F Chen (2006). Modeling particle deposition and distribution in a chamber with a two-equation Reynolds-averaged Navier–Stokes model. Journal of Aerosol Science, 37: 1770–1780.
Crossref Google Scholar
 
BE Launder, DB Spalding (1974). The numerical computation of turbulent flow. Computer Methods in Applied Mechanics and Engineering, 3: 269.
Crossref Google Scholar
 
WZ Lu, AT Howarth, N Adam, SB Riffat (1996). Modelling and measurement of airflow and aerosol particle distribution in a ventilated two-zone chamber. Building and Environment, 31: 417–423.
Crossref Google Scholar
 
SL Miller, WW Nazaroff (2001). Environmental tobacco smoke particles in multizone indoor environments. Atmospheric Environment, 35: 2053–2067.
Crossref Google Scholar
 
WW Nazaroff (2000). Effectiveness of air cleaning technologies. In: Proceedings of Healthy Buildings 2000, 8th International Conference on Indoor Air Quality and Climate, Espoo, Finland.
 
PR Nelson, SB Sears, DL Heavner (1993). Application of methods for evaluating air cleaner performance. Indoor and Built Environment, 2: 111–117.
Crossref Google Scholar
 
M Ongwandee, A Kruewan (2013). Evaluation of portable household and in-car air cleaners for air cleaning potential and ozone-initiated pollutants. Indoor and Built Environment, 22: 659–668
Crossref Google Scholar
 
H Qian, Y Li, H Sun, PV Nielsen, X Huang, X Zheng (2010). Particle removal efficiency of the portable HEPA air cleaner in a simulated hospital ward. Building Simulation, 3: 215–224.
Crossref Google Scholar
 
RJ Shaughnessy, RG Sextro (2006). What is an effective portable air cleaning device? A review. Journal of Occupational and Environmental Hygiene, 3: 169–181.
Crossref Google Scholar
 
Y Wang, PW James (1999). On the effect of anisotropy on the turbulent dispersion and deposition of small particles. International Journal of Multiphase Flow, 25: 551–558.
Crossref Google Scholar
 
J Wei, Y Li (2015). Enhanced spread of expiratory droplets by turbulence in a cough jet. Building and Environment, 93: 86–96.
Crossref Google Scholar
 
B Zhao, Y Zhang, X Li, X Yang, D Huang (2004). Comparison of indoor aerosol particle concentration and deposition in different ventilated rooms by numerical method. Building and Environment, 39: 1–8.
Crossref Google Scholar
 
B Zhao, Z Zhang, X Li (2005). Numerical study of the transport of droplets or particles generated by respiratory system indoors. Building and Environment, 40: 1032–1039.
Crossref Google Scholar
 
T Zhang, S Wang, G Sun, L Xu, D Takaoka (2010). Flow impact of an air conditioner to portable air cleaning. Building and Environment, 45: 2047–2056.
Crossref Google Scholar
Building Simulation
Volume 10 Issue 1,
February 2017
Pages 123-133
DOI: 10.1007/s12273-016-0310-7
Cite this article:
Chen L, Jin X, Yang L, et al. Particle transport characteristics in indoor environment with an air cleaner: The effect of nonuniform particle distributions. Building Simulation, 2017, 10(1): 123-133. https://doi.org/10.1007/s12273-016-0310-7

568

Views

27

Crossref

N/A

Web of Science

32

Scopus

3

CSCD

Altmetrics
Received: 27 April 2016
Revised: 11 July 2016
Accepted: 14 July 2016
Published: 17 August 2016
© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2016
Return