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

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.

[1]  P. Everitt,et al.  Modelling the effect of an occupant on displacement ventilation with computational fluid dynamics , 2008 .

[2]  H. Qian,et al.  Removal of exhaled particles by ventilation and deposition in a multibed airborne infection isolation room. , 2010, Indoor air.

[3]  K. Mead,et al.  Containment effectiveness of expedient patient isolation units. , 2009, American journal of infection control.

[4]  Carla Balocco,et al.  Assessing the effects of sliding doors on an operating theatre climate , 2012 .

[5]  R N Cox,et al.  Aerodynamics of the human microenvironment. , 1969, Lancet.

[6]  Haidong Wang,et al.  Numerical simulation on a horizontal airflow for airborne particles control in hospital operating room , 2009 .

[7]  A. Lai,et al.  Modeling particle distribution and deposition in indoor environments with a new drift–flux model , 2006 .

[8]  Qingyan Chen COMPARISON OF DIFFERENT k-ε MODELS FOR INDOOR AIR FLOW COMPUTATIONS , 1995 .

[9]  V. Truong,et al.  Electrolyte thickness dependence of the electrochromic behavior of ‘‘a‐WO3’’ films , 1985 .

[10]  A. Melikov,et al.  Experimental investigation of the human convective boundary layer in a quiescent indoor environment , 2014 .

[11]  A. Melikov,et al.  Human convective boundary layer and its interaction with room ventilation flow. , 2015, Indoor air.

[12]  S. Orszag,et al.  Renormalization group analysis of turbulence. I. Basic theory , 1986 .

[13]  S Friberg,et al.  The addition of a mobile ultra-clean exponential laminar airflow screen to conventional operating room ventilation reduces bacterial contamination to operating box levels. , 2003, The Journal of hospital infection.

[14]  L. Fenelon Protective isolation: who needs it? , 1995, The Journal of hospital infection.

[15]  A. Gratwohl,et al.  Influence of protective isolation on outcome of allogeneic bone marrow transplantation for leukemia , 1998, Bone Marrow Transplantation.

[16]  Leslie M. Smith,et al.  The renormalization group, the ɛ-expansion and derivation of turbulence models , 1992 .

[17]  T. Rogers,et al.  Control of an outbreak of nosocomial aspergillosis by laminar air-flow isolation. , 1989, The Journal of hospital infection.

[18]  K. Sullivan,et al.  Graft-versus-host disease and survival in patients with aplastic anemia treated by marrow grafts from HLA-identical siblings. Beneficial effect of a protective environment. , 1983, The New England journal of medicine.

[19]  W. C. Reynolds,et al.  On the Yakhot-Orszag renormalization group method for deriving turbulence statistics and models , 1992 .

[20]  H. F. Bowman,et al.  Thermal mapping of the airways in humans. , 1985, Journal of applied physiology.

[21]  Tengfang Xu,et al.  Optimization of bathroom ventilation design for an ISO Class 5 clean ward , 2009 .

[22]  S. Orszag,et al.  Renormalization group analysis of turbulence. I. Basic theory , 1986, Physical review letters.

[23]  Roger Frost,et al.  International Organization for Standardization (ISO) , 2004 .

[24]  T. Chow,et al.  Ventilation performance in the operating theatre against airborne infection: numerical study on an ultra-clean system. , 2005, The Journal of hospital infection.

[25]  Shih-Cheng Hu,et al.  An experimental study on ventilation efficiency of isolation room , 2009 .

[26]  Frank P. Incropera,et al.  Fundamentals of Heat and Mass Transfer , 1981 .

[27]  Shuzo Murakami,et al.  CFD analysis of wind environment around a human body , 1999 .

[28]  U. Ghia,et al.  Assessment of Health-Care Worker Exposure to Pandemic Flu in Hospital Rooms. , 2012, ASHRAE transactions.

[29]  Jiyuan Tu,et al.  Numerical study of the effects of human body heat on particle transport and inhalation in indoor environment , 2013 .

[30]  Michel Havet,et al.  Computation of the airflow in a pilot scale clean room using K-ε turbulence models , 2002 .

[31]  N. Toy,et al.  Natural convection around the human head. , 1975, The Journal of physiology.

[32]  C. J. Saunders,et al.  AIR MOVEMENT AROUND A WORKER IN A LOW-SPEED FLOW FIELD , 1996 .

[33]  Hannu Koskela,et al.  Different Types of Door-Opening Motions as Contributing Factors to Containment Failures in Hospital Isolation Rooms , 2013, PloS one.

[34]  C. Chao,et al.  Study on the interzonal migration of airborne infectious particles in an isolation ward using benign bacteria. , 2013, Indoor air.

[35]  Mglc Marcel Loomans,et al.  Testing the effectiveness of operating room ventilation with regard to removal of airborne bacteria , 2011 .

[36]  Yang-Cheng Shih,et al.  Numerical study on the dispersion of airborne contaminants from an isolation room in the case of door opening , 2008, Applied Thermal Engineering.

[37]  S. Orszag,et al.  Development of turbulence models for shear flows by a double expansion technique , 1992 .

[38]  Goodarz Ahmadi,et al.  Computational modeling of effects of thermal plume adjacent to the body on the indoor airflow and particle transport , 2012 .

[39]  Shugang Wang,et al.  Quantify impacted scope of human expired air under different head postures and varying exhalation rates , 2011, Building and Environment.

[40]  Bin Zhao,et al.  Numerical Investigation of Particle Diffusion in a Clean Room , 2005 .

[41]  Arsen Krikor Melikov,et al.  Exposure of health care workers and occupants to coughed airborne pathogens in a double-bed hospital patient room with overhead mixing ventilation , 2012, HVAC&R Research.

[42]  Bin Yang,et al.  Performance Evaluation of Ceiling Mounted Personalized Ventilation System , 2009 .

[43]  Bin Zhao,et al.  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 , 2011, Journal of The Royal Society Interface.

[44]  Farhad Memarzadeh,et al.  Role of air changes per hour (ACH) in possible transmission of airborne infections , 2011, Building Simulation.

[45]  L. Leibovici,et al.  Infection-control interventions for cancer patients after chemotherapy: a systematic review and meta-analysis. , 2009, The Lancet. Infectious diseases.

[46]  C Voelker,et al.  Measuring the human body's microclimate using a thermal manikin. , 2014, Indoor air.

[47]  Chao-Hsin Lin,et al.  Characterizing exhaled airflow from breathing and talking. , 2010, Indoor air.

[48]  Tin-Tai Chow,et al.  Dynamic simulation on impact of surgeon bending movement on bacteria-carrying particles distribution in operating theatre , 2012 .

[49]  Jiyuan Tu,et al.  Numerical investigation of particle transport and inhalation using standing thermal manikins , 2013 .

[50]  Zhang Lin,et al.  The Integrated Effect of Medical Lamp Position and Diffuser Discharge Velocity on Ultra-clean Ventilation Performance in an Operating Theatre , 2006 .

[51]  E. A. Hathway,et al.  CFD simulation of airborne pathogen transport due to human activities , 2011, Building and Environment.

[52]  H. Ezzat Khalifa,et al.  CFD assessment of intake fraction in the indoor environment , 2010 .