DOI: 10.1016/j.atmosenv.2017.07.027
Scopus记录号: 2-s2.0-85025683923
论文题名: CFD modeling of particle dispersion and deposition coupled with particle dynamical models in a ventilated room
作者: Xu G ; , Wang J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 166 起始页码: 300
结束页码: 314
语种: 英语
英文关键词: Computational fluid dynamics
; Deposition
; Dynamical model
; Indoor particles
; Ventilation
Scopus关键词: Air
; Deposition
; Dispersions
; Fluid dynamics
; Method of moments
; Statistical mechanics
; Turbulence models
; Ventilation
; Distribution of particles
; Dynamical model
; Indoor particles
; Particle concentrations
; Particle number concentration
; Population balance equation
; Taylor series expansions
; Temporal and spatial evolutions
; Computational fluid dynamics
; atmospheric deposition
; atmospheric modeling
; computational fluid dynamics
; numerical model
; particle size
; spatial distribution
; three-dimensional modeling
; turbulent flow
; two-dimensional modeling
; ventilation
; air conditioning
; airflow
; ambient air
; Article
; computational fluid dynamics
; dispersion
; environmental factor
; gravity
; mathematical model
; moments coupled model
; priority journal
; Taylor series expansion method
; velocity
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: Two dynamical models, the traditional method of moments coupled model (MCM) and Taylor-series expansion method of moments coupled model (TECM) for particle dispersion distribution and gravitation deposition are developed in three-dimensional ventilated environments. The turbulent airflow field is modeled with the renormalization group (RNG) k–ε turbulence model. The particle number concentration distribution in a ventilated room is obtained by solving the population balance equation coupled with the airflow field. The coupled dynamical models are validated using experimental data. A good agreement between the numerical and experimental results can be achieved. Both models have a similar characteristic for the spatial distribution of particle concentration. Relative to the MCM model, the TECM model presents a more close result to the experimental data. The vortex structure existed in the air flow makes a relative large concentration difference at the center region and results in a spatial non-uniformity of concentration field. With larger inlet velocity, the mixing level of particles in the room is more uniform. In general, the new dynamical models coupled with computational fluid dynamics (CFD) in the current study provide a reasonable and accurate method for the temporal and spatial evolution of particles effected by the deposition and dispersion behaviors. In addition, two ventilation modes with different inlet velocities are proceeded to study the effect on the particle evolution. The results show that with the ceiling ventilation mode (CVM), the particles can be better mixed and the concentration level is also higher. On the contrast, with the side ceiling ventilation mode (SVM), the particle concentration has an obvious stratified distribution with a relative lower level and it makes a much better environment condition to the human exposure. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82576
Appears in Collections: 气候变化事实与影响
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作者单位: School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China
Recommended Citation:
Xu G,, Wang J. CFD modeling of particle dispersion and deposition coupled with particle dynamical models in a ventilated room[J]. Atmospheric Environment,2017-01-01,166