TY - JOUR
T1 - Investigation of airborne particle exposure in an office with mixing and displacement ventilation
AU - Liu, Sumei
AU - Koupriyanov, Mike
AU - Paskaruk, Dale
AU - Fediuk, Graham
AU - Chen, Qingyan
N1 - Funding Information:
This study was partially supported by the National Natural Science Foundation of China (NSFC) through grant no. 52108084 , and by the China Postdoctoral Science Foundation through grant no. 2020M680886 .
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/4
Y1 - 2022/4
N2 - Effective ventilation could reduce COVID-19 infection in buildings. By using a computational fluid dynamics technique and advanced experimental measurement methods, this investigation studied the air velocity, air temperature, and particle number concentration in an office under a mixing ventilation (MV) system and a displacement ventilation (DV) system with different ventilation rates. The results show reasonably good agreement between the computed results and measured data. The air temperature and particle number concentration under the MV system were uniform, while the DV system generated a vertical stratification of the air temperature and particle number concentration. Because of the vertical stratification of the particle number concentration, the DV system provided better indoor air quality than the MV system. An increase in ventilation rate can reduce the particle concentration under the two systems. However, the improvement was not proportional to the ventilation rate. The increase in ventilation rate from 2 ACH to 4 ACH and 6 ACH for MV system reduced the particle concentration by 20% and 60%, respectively. While for the DV system, increasing the ventilation rate from 2 ACH to 4 ACH and 6 ACH reduced the particle concentration by only 10% and 40%, respectively. The ventilation effectiveness of the MV system was close to 1.0, but it was much higher for the DV system. Therefore, the DV system was better than the MV system.
AB - Effective ventilation could reduce COVID-19 infection in buildings. By using a computational fluid dynamics technique and advanced experimental measurement methods, this investigation studied the air velocity, air temperature, and particle number concentration in an office under a mixing ventilation (MV) system and a displacement ventilation (DV) system with different ventilation rates. The results show reasonably good agreement between the computed results and measured data. The air temperature and particle number concentration under the MV system were uniform, while the DV system generated a vertical stratification of the air temperature and particle number concentration. Because of the vertical stratification of the particle number concentration, the DV system provided better indoor air quality than the MV system. An increase in ventilation rate can reduce the particle concentration under the two systems. However, the improvement was not proportional to the ventilation rate. The increase in ventilation rate from 2 ACH to 4 ACH and 6 ACH for MV system reduced the particle concentration by 20% and 60%, respectively. While for the DV system, increasing the ventilation rate from 2 ACH to 4 ACH and 6 ACH reduced the particle concentration by only 10% and 40%, respectively. The ventilation effectiveness of the MV system was close to 1.0, but it was much higher for the DV system. Therefore, the DV system was better than the MV system.
KW - CFD
KW - Experimental measurements
KW - Indoor air quality
KW - RNG k-ɛ model
KW - Ventilation effectiveness
UR - http://www.scopus.com/inward/record.url?scp=85123704643&partnerID=8YFLogxK
U2 - 10.1016/j.scs.2022.103718
DO - 10.1016/j.scs.2022.103718
M3 - Journal article
AN - SCOPUS:85123704643
SN - 2210-6707
VL - 79
JO - Sustainable Cities and Society
JF - Sustainable Cities and Society
M1 - 103718
ER -