The ventilation needed to control thermal plume and particle dispersion from manikins in a unidirectional ventilated protective isolation room

被引:0
作者
Caiqing Yang
Xudong Yang
Bin Zhao
机构
[1] Tsinghua University,Department of Building Science, School of Architecture
[2] Tsinghua University,School of Aerospace Engineering
来源
Building Simulation | 2015年 / 8卷
关键词
unidirectional airflow ventilation; computational fluid dynamics (CFD); air distribution; protective isolation;
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中图分类号
学科分类号
摘要
Infection is a major cause of death for the immunocompromised patients whose immune mechanisms are deficient. The most effective way of protecting these patients is the total environment protection such as protective isolation room (PIR). Unidirectional airflow ventilation is usually used in PIR. The supply air velocity in PIR can affect not only the cleanliness level of the room and total environment protection effects to the patients, but also the energy consumption and initial equipment investment of the room. Computational fluid dynamics (CFD) program is used to simulate the airflow field and the concentration distribution of the particles from human body and breathing. Three scenarios when the manikin is standing, sitting and lying are investigated in this study. The intensities of supply airflow with different velocities and the upward airflow induced by thermal plume with different postures are compared. The qualitative and quantitative analysis of the simulation results show that the required supply air velocity to control the thermal plume and particle dispersion from human body and breathing is at least 0.25 m/s when the manikin is standing or sitting, and 0.2 m/s when the manikin is lying.
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页码:551 / 565
页数:14
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共 203 条
[1]  
Balocco C(2012)Assessing the effects of sliding doors on an operating theatre climate Building Simulation 5 73-83
[2]  
Petrone G(1989)Control of an outbreak of nosocomial aspergillosis by laminar air-flow isolation Journal of Hospital Infection 14 89-94
[3]  
Cammarata G(2012)Exposure of health care workers and occupants to coughed airborne pathogens in a double-bed hospital patient room with overhead mixing ventilation HVAC&R Research 18 602-615
[4]  
Barnes RA(2011)Role of two-way airflow owing to temperature difference in severe acute respiratory syndrome transmission: Revisiting the largest nosocomial severe acute respiratory syndrome outbreak in Hong Kong Journal of the Royal Society Interface 8 699-710
[5]  
Rogers TR(2006)Modeling particle distribution and deposition in indoor environments with a new drift-flux model Atmospheric Environment 40 357-367
[6]  
Bolashikov ZD(1995)Comparison of different Numerical Heat Transfer Part B: Fundamentals 28 353-369
[7]  
Melikov AK(2012)–epsilon models for indoor air flow computations Building and Environment 57 68-80
[8]  
Kierat W(2005)Dynamic simulation on impact of surgeon bending movement on bacteria-carrying particles distribution in operating theatre Journal of Hospital Infection 59 138-147
[9]  
Popiolek Z(2006)Ventilation performance in the operating theatre against airborne infection: Numerical study on an ultraclean system Indoor and Built Environment 15 315-331
[10]  
Brand M(1975)The integrated effect of medical lamp position and diffuser discharge velocity on ultra-clean ventilation performance in an operating theatre Journal of Physiology 244 283-293