TY - GEN
T1 - Infection control and sustainability measures for a healthcare facility
AU - Satheesan, Manoj Kumar
AU - Wong, Ling Tim
AU - Mui, Kwok Wai
N1 - Funding Information:
This work was supported by the Research Grants Council of HKSAR (Project no. 152088/17E) and The Hong Kong Polytechnic University.
Publisher Copyright:
© 2020 16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020. All rights reserved.
PY - 2020/11
Y1 - 2020/11
N2 - Potential disease outbreaks and climate change scenarios of recent past demand balancing of infection control as well as energy use within healthcare settings as need of the hour, although it is quite challenging and often overlooked. In this study, infection risk posed through aerial dispersion of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in a typical semi-enclosed mechanically ventilated ward cubicle in Hong Kong is analyzed through Computational Fluid Dynamics and annual energy consumption of ward is estimated through building energy simulation tool (Energy plus). Fundamental transport and deposition mechanism of droplet nuclei of size 0.167µm under different air change rates (3h-1-13h-1) are evaluated and their effectiveness is estimated through infection risk indicators. Results suggest that ventilation rate can be critical while laying out infection control strategies and an air change rate between 6h-1-9h-1 would be optimal to sustain comfort as well as well-being of ward users while reducing carbon footprint.
AB - Potential disease outbreaks and climate change scenarios of recent past demand balancing of infection control as well as energy use within healthcare settings as need of the hour, although it is quite challenging and often overlooked. In this study, infection risk posed through aerial dispersion of Middle East Respiratory Syndrome Coronavirus (MERS-CoV) in a typical semi-enclosed mechanically ventilated ward cubicle in Hong Kong is analyzed through Computational Fluid Dynamics and annual energy consumption of ward is estimated through building energy simulation tool (Energy plus). Fundamental transport and deposition mechanism of droplet nuclei of size 0.167µm under different air change rates (3h-1-13h-1) are evaluated and their effectiveness is estimated through infection risk indicators. Results suggest that ventilation rate can be critical while laying out infection control strategies and an air change rate between 6h-1-9h-1 would be optimal to sustain comfort as well as well-being of ward users while reducing carbon footprint.
KW - Computational fluid dynamics (CFD)
KW - Energy consumption
KW - Hospital inpatient ward
KW - Middle east respiratory syndrome coronavirus (MERS-CoV)
KW - Ventilation
UR - http://www.scopus.com/inward/record.url?scp=85101639490&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85101639490
T3 - 16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020
BT - 16th Conference of the International Society of Indoor Air Quality and Climate
PB - International Society of Indoor Air Quality and Climate
T2 - 16th Conference of the International Society of Indoor Air Quality and Climate: Creative and Smart Solutions for Better Built Environments, Indoor Air 2020
Y2 - 1 November 2020
ER -