Journal Home > Volume 5 , Issue 1

Surgical site infections (SSIs) are the second to third most common site of health care associated infections (HAIs). It is very important to maintain good indoor air quality (IAQ) and the best ventilation system in the operating theatre (OT) to ensure health and safety for the patient and surgical team, also to reduce the risk of post-operative wound infection. Then a significant consideration in OTs is the control of aerosols, anesthesia gases and smoke. The present paper uses the airflow modeling based on computational fluid dynamics (CFD) to study the indoor climate of a standard ISO5 class OT with an ultraclean air filter system and a total ceiling unidirectional diffuser. The OT has a heating, ventilation, and air conditioning (HVAC) plant with a laminar airflow (LAF) or ultraclean ventilation. A simple method to analyze the effects of different sliding door conditions combined with crossing persons and persons with a stretcher crossing, on the OT climate, airflow patterns and the indoor pressures scheme, is provided. The proposed simulation method, that belongs to the indirect approach for a numerical simulation of solid object movements in a fluid, provides important knowledge on complex flow phenomena combined with multi-physical conditions. Results obtained by transient simulation show disruptions of the airflow inside the OT and different airflow displacement and distribution caused by surgery staff movements and sliding door opening and closing, but in particular static pressure changes in the HVAC plant system with important effects on ventilation system working conditions and its energy performances.


menu
Abstract
Full text
Outline
Electronic supplementary material
About this article

Assessing the effects of sliding doors on an operating theatre climate

Show Author's information Carla Balocco1Giuseppe Petrone2( )Giuliano Cammarata2
Energy Engineering Department, niversity of Firenze, Via S. Marta 3, 50139 Firenze, Italy
Department of Industrial and Mechanical Engineering, University of Catania, Viale Andrea Doria 6, 95125 Catania, Italy

Abstract

Surgical site infections (SSIs) are the second to third most common site of health care associated infections (HAIs). It is very important to maintain good indoor air quality (IAQ) and the best ventilation system in the operating theatre (OT) to ensure health and safety for the patient and surgical team, also to reduce the risk of post-operative wound infection. Then a significant consideration in OTs is the control of aerosols, anesthesia gases and smoke. The present paper uses the airflow modeling based on computational fluid dynamics (CFD) to study the indoor climate of a standard ISO5 class OT with an ultraclean air filter system and a total ceiling unidirectional diffuser. The OT has a heating, ventilation, and air conditioning (HVAC) plant with a laminar airflow (LAF) or ultraclean ventilation. A simple method to analyze the effects of different sliding door conditions combined with crossing persons and persons with a stretcher crossing, on the OT climate, airflow patterns and the indoor pressures scheme, is provided. The proposed simulation method, that belongs to the indirect approach for a numerical simulation of solid object movements in a fluid, provides important knowledge on complex flow phenomena combined with multi-physical conditions. Results obtained by transient simulation show disruptions of the airflow inside the OT and different airflow displacement and distribution caused by surgery staff movements and sliding door opening and closing, but in particular static pressure changes in the HVAC plant system with important effects on ventilation system working conditions and its energy performances.

Keywords: CFD, ventilation, sliding doors, operating theatre climate

References(27)

H Brohus, KD Balling, D Jeppesen (2006). Influence of movements on contaminant transport in an operating room. Indoor Air, 16: 356-372.
TT Chow, A Kwan, Z Lin, W Bai (2006a). A computer evaluation of ventilation performance in a negative-pressure operating theater. Anesthesia & Analgesia, 103: 913-918.
TT Chow, A Kwan, Z Lin, W Bai (2006b). Conversion of operating theatre from positive to negative pressure environment. Journal of Hospital Infection, 64: 371-378.
TT Chow, XY Yang (2005). Ventilation performance in the operating theatre against airborne infection: numerical study on an ultra-clean system. Journal of Hospital Infection, 59: 138-147.
TT Chow, XY Yang (2004). Ventilation performance in operating theatres against airborne infection: review of research activities and practical guidance. Journal of Hospital Infection, 56: 85-92.
P Deuflhard (1974). A modified Newton method for the solution of ill-conditioned systems of nonlinear equations with application to multiple shooting. Numerical Mathematics, 22: 289-315.
S Dharan, D Pittet (2002). Environmental controls in operating theatres. Journal of Hospital Infection, 51: 79-84.
S Dong, G Tu, R Cao, Z Yu (2009). Numerical Study on Effects of Door-Opening on Airflow Patterns and Dynamic Cross-Contamination in an ISO Class 5 Operating Room. Transactions of Tianjin University, 15: 210-215.
JE Farnsworth, SM Goyal, SW Kim, TH Kuehn, PC Raynor, MA Ramakrishnan, S Anantharaman, W Tang (2006). Development of a method for bacteria and virus recovery from heating, ventilation, and air conditioning (HVAC) filters. Journal of Environmental Monitoring, 8: 1006-1013.
H Hindmarsh, AC Brown, PN Grant, KE Lee, SL Serban, R Shumaker, DE Woodward, CS Woodward (2005). SUNDIALS: Suite of non-linear and differential/algebraic equation solvers. ACM Transactions on Mathematical Software, 31: 363-396.
B Halvonovà, AK Melikov (2010). Performance of ‘‘ductless'' personalized ventilation in conjunction with displacement ventilation: Impact of disturbances due to walking person(s). Building and Environment, 45: 427-436.
L Ignat, D Pelletier, F Ilinca (2000). A universal formulation of two-equation models for adaptive computation of turbulent flows. Computer Methods in Applied Mechanics and Engineering, 189: 1119-1139.
BE Launder, DB Spalding (1974). The Numerical Computation of Turbulent Flows. Computer Methods in Applied Mechanics and Engineering. Computer Methods in Applied Mechanics and Engineering, 3: 269-289.
Y Lin, R Zmeureanu (2008). Three-dimensional thermal and airflow (3D-TAF) model of a dome-covered house in Canada. Renewable Energy, 33: 22-34.
J Liu, H Wang, W Wen (2009). Numerical simulation on a horizontal airflow for airborne particles control in hospital operating room. Building and Environment, 44: 2284-2289.
H Matzumoto, Y Ohba (2004). The influence of a moving object on air distribution in displacement ventilated rooms. Journal of Asian Architecture and Building Engineering, 3: 71-75.
MA Melhado, JLM Hensen, M Loomans, L Forejt (2006). Review of operating room ventilation standards. In: Proceedings of the 17th International Air Conditioning and Ventilation Conference (STP, Society of Environmental Engineering 2006), Prague, Czech Republic.
F Menazadeh, AP Manning (2002). Comparison of operating room ventilation systems in the protection of surgical site. ASHRAE Transactions, 108(2): 3-15.
L Rygielski, D Uden (2007). Creating comfort: Nine considerations for selecting the right hospital HVAC system. Health Facilities Management, 20: 19-23.
YC Shih, CC Chiu, O Wang (2007). Dynamic airflow simulation within an isolation room. Building and Environment, 42: 3194-3209.
D Talon, T Schoenleber, X Bertrand, P Vichard (2006). Performances of different types of airflow system in operating theatre. Annales de Chirurgie, 131: 316-321.
J Tang, Y Li, I Eames, P Chan, G Ridgway (2006). Factors involved in the aerosol transmission of infection and control of ventilation in healthcare premises. Journal of Hospital Infection, 64: 100-114.
YC Tunga, SC Hu, TI Tsai, IL Chang (2009). An experimental study on ventilation efficiency of isolation room. Building and Environment, 44: 271-279.
AWM van Schijndel (2009). Integrated modelling of dynamic heat, air and moisture processes in buildings and systems using Simulink and COMSOL. Building Simulation, 2: 143-155.
DC Wilcox (1998), Turbulence Modelling for CFD, DCW Industries Inc.
ZL Zhang, BJ Wachenfeldt (2009). Numerical study on the heat storing capacity of concrete walls with air cavities. Energy and Buildings, 41: 769-773.
B Zhao, C Yang, C Chen, C Feng, X Yang, L Sun, W Gong, L Yu (2009). How many airborne particles emitted from a nurse will reach the breathing zone/body surface of the patient in ISO Class-5 single-bed hospital protective environments? A numerical analysis. Aerosol Science and Technology, 43: 990-1005.
File
12273_2012_71_MOESM1_ESM.pdf (774.1 KB)
Publication history
Copyright

Publication history

Received: 05 December 2011
Revised: 06 February 2012
Accepted: 07 February 2012
Published: 14 March 2012
Issue date: March 2012

Copyright

© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2012
Return