ASHRAE 4729-2004 Numerical Analysis of the Movement of Biological Particles in Two Adjacent Rooms《在两个相邻的室内内生物粒子运动的数值分析》.pdf
《ASHRAE 4729-2004 Numerical Analysis of the Movement of Biological Particles in Two Adjacent Rooms《在两个相邻的室内内生物粒子运动的数值分析》.pdf》由会员分享,可在线阅读,更多相关《ASHRAE 4729-2004 Numerical Analysis of the Movement of Biological Particles in Two Adjacent Rooms《在两个相邻的室内内生物粒子运动的数值分析》.pdf(8页珍藏版)》请在麦多课文档分享上搜索。
1、4729 Numerical Analysis of the Movement of Biological Particles in Two Adjacent Rooms Bin Zhao, Ph.D. Ying Zhang Xianting Li, Ph.D. Member ASHRAE ABSTRACT Severe acute respiratory syndrome (SARS) is a recently described illness of humans with a high case fatality rate that has spread widely since No
2、vember 2002. As SARS und many other diseases may be transmitted by biological airborne particles, it is important to analyze the movement of biological particles indoors to protect the indoor environment from biological pollution. In this papel: the movement of biological particles in two adjacent r
3、ooms is numerically studied under cross ventilation. The cases of different air exchange rates and initial positions of particles are analyzed und compared numerically. The discrete trajectory model is adopted to simu- late particle tracks, while the Eulerian method for solving continuousfluidflow i
4、s combined. The results show that the air exchange rate and initial positions of the particles are two key factors influencing the indoor environment of the rooms. For the cases presented, the number of biological particles in the internal room increases with the increase of air exchange rate of the
5、 external room. Furthermore, if the particles are closer to the conjoined opening of the two rooms, the number of the particles may be more. INTRODUCTION Severe acute respiratory syndrome (SARS) is a recently described illness of humans with a high case fatality rate that has spread widely since Nov
6、ember 2002. By late April 2003, over 4,300 SARS cases and 250 SARS-related deaths from over 25 countries around the world were reported by the World Health Organization (WHO). Epidemiologic studies indicate that SARS may be transmitted by airborne particles that contain the novel coronavirus (SARS-C
7、oV) (Rota et al. 2003). The experience in Guangdong Province, China, indicates that natural ventilation is helpful for defending against SARS. However, most buildings have adjacent external and internal rooms, where the natural ventilation of the external room may cause adverse effect on the intemal
8、 room, as the biological particles may move from external room to internal room under natural ventilation. Thus, the movement of biological particles in two adjacent rooms needs to be studied to analyze their effect on the indoor environment as a kind of biological pollu- tion. It is known that the
9、numerical method (also called computational fluid dynamics CFD) can provide detailed information of airflow and particle movement in ventilated spaces, while it is difficult to examine the movement of parti- cles by experimental measurements. The purpose of this paper is to study the movement of bio
10、logical particles generated by human bodies in two adjacent rooms under cross-ventilation by a three-dimensional numerical method so that the indoor environment may be analyzed and evaluated. The cases of different air exchange rates and initial positions ofparticles are analyzed. MATHEMATICAL MODEL
11、 For the cross-ventilation studied in this paper, only isothermal condition is considered. The mathematical model includes two parts: the model for continuous phase (air) and the model for discrete phase (particles). Airflow Model Governing Equations and Numerical Methods. The air in the room is con
12、sidered a continuous fluid, which is governed by the conservation equation. For indoor air turbulence, the Reynolds averaged Navier-Stokes (RANS) Bin Zhao is a postdoctoral fellow in the Department of Building Science and the Department of Engineering Mechanics, and Ying Zhang is a graduate student
13、and Xianting Li is a professor in the Department of Building Science, Tsinghua University, Beijing, China. 370 02004 ASHRAE. equations may get closure by applying turbulence models. Here the k-E turbulence model is employed since it is widely used for indoor airflow simulation, and good agreement be
14、tween simulated results and measured data have been reported (Chen 1995). The governing equations can be written in the general format as follows: at ?(pq) + div(php-r,gradq) = S, (1) where cp represents each of the three velocity components, u, v, and w (ds): the kinetic energy of turbulence, k (m2
15、/s2), the dissipation rate of the kinetic energy of turbulence, E (m2/s3), and air enthalpy, h (jkg). rV is the effective exchange coeffi- cient for the dependent variable cp, and SV is the source term of the general equation. The formation of S, and the turbulence parameters of the k- that is, mass
16、 flow boundaries are specified to ensure the mass flow rate out of the domain is the same as the mass flow rate into the flow domain. Wall functions are applied to describe the turbulent flow properties in the near wall region. More details are given by Launder and Spalding (1 974). Particle Traject
17、ory Model Equations of Motion. The discrete trajectory approach (Lagrangian method) is employed in the particle trajectory model. The Lagrangian approach splits the particle phase into a representative set of individual particles and tracks these particles separately through the flow domain by solvi
18、ng the equations of particle movement. The following assumptions are used: a. Heat and mass transfer between the air and the particles is neglected. b. There are no particle rebounds on solid surfaces, such as walls, floors and ceilings. c. There is no particle coagulation in the particle deposition
19、 procedure. d. All particles are spherical solid particles. e. The effect of particles on turbulence is not considered, as it is believed that the low particle loadings and compara- tively small particle settling velocities have a very small effect compared to the high inflow turbulence levels (Elg-
20、 hobashi 1994). The equations of individual particle movement come directly from Newtons second law, where upi is particle velocity in i direction (ms), and Fi is all external forces exerted on the particle er unit particle mass) in i direction (m/s2). Fi may be written as where ui and upi are the v
21、elocities of air and particle, respec- tively (ms); p is the molecular viscosity of air (kg/m*s); p is the density of air (kg/m3); dp is the particle diameter (m); pp is the density of particle (kg/m3); Re is the particle Reynolds number; and C, is the drag coefficient. The first term of the right-h
22、and side of Equation 3 is the drag force per unit particle mass (m/s2). Re is defined by C, is the drag coefficient and c, = a,+-+ a2 a Re even the initial positions are the same (this is shown in Figure 5). As a result, the particles may suspend, escape, or deposit on the surfaces, and the number o
23、f particles in different rooms is different. We are concerned most with the suspended particles because if humans are exposed to them, their health could be affected. Thus, the figures show the suspended particles at different times. Figure I Schematic of the two adjacent rooms and the initial posit
- 1.请仔细阅读文档,确保文档完整性,对于不预览、不比对内容而直接下载带来的问题本站不予受理。
- 2.下载的文档,不会出现我们的网址水印。
- 3、该文档所得收入(下载+内容+预览)归上传者、原创作者;如果您是本文档原作者,请点此认领!既往收益都归您。
下载文档到电脑,查找使用更方便
10000 积分 0人已下载
下载 | 加入VIP,交流精品资源 |
- 配套讲稿:
如PPT文件的首页显示word图标,表示该PPT已包含配套word讲稿。双击word图标可打开word文档。
- 特殊限制:
部分文档作品中含有的国旗、国徽等图片,仅作为作品整体效果示例展示,禁止商用。设计者仅对作品中独创性部分享有著作权。
- 关 键 词:
- ASHRAE47292004NUMERICALANALYSISOFTHEMOVEMENTOFBIOLOGICALPARTICLESINTWOADJACENTROOMS 两个 相邻 室内 生物 粒子 运动

链接地址:http://www.mydoc123.com/p-454312.html