NUMERICAL SIMULATION OF COVID-19 VIRUS DISTRIBUTION IN INDOOR AIR
COVID-19 is an infectious respiratory disease that can infect humans through droplets containing the SARS-CoV-2 virus. These droplets can be macro or micro in size, microdroplets can float in the air. By July 2021, the spread of this virus had caused more than 194 million cases of infection and h...
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Format: | Final Project |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/62777 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | COVID-19 is an infectious respiratory disease that can infect humans through droplets
containing the SARS-CoV-2 virus. These droplets can be macro or micro in size, microdroplets can
float in the air. By July 2021, the spread of this virus had caused more than 194 million cases of
infection and had caused 4.1 million deaths worldwide. Because the impact is so large, it is important
to study and predict the transmission of COVID-19 through the air. Indoor airflow patterns play an
important role in the transmission of COVID-19 because this airflow determines the trajectory of
droplets. To reduce the risk of spreading COVID-19, ASHRAE recommends controlling the
ventilation system. Therefore, research is needed to find out what kind of ventilation configuration that
can reduce the concentration of viruses in the room air.
Droplet distribution simulation using Computing Fluid Dynamics (CFD) software ANSYS
Fluent will predict transmission to room occupants. This simulation model is a room with a size of 4 m
× 3.02 m × 7 m with various ventilation configurations containing 7 people, 1 person in the front will
emit droplets when speaking and is considered a polluter while 6 other people act as receptors. The
ventilation configurations used are upper-inlet upper-outlet (configuration of ventilation A), top-inlet
upper-outlet (configuration of ventilation B), upper-inlet bottom-outlet (configuration of ventilation
C), and top-inlet bottom-outlet (configuration of ventilation D).
The value of quanta concentrations (Cq) that can cause the spread of COVID-19 is 30 quanta/m3.
The simulation results show that the maximum Cq values in the ventilation configurations A, B, C, and
D are 2.64 quanta/m3, 22.48 quanta/m3, 11.36 quanta/m3, and 110.31 quanta/m3. The ventilation
configurations A, B, and C have a maximum Cq value below 30 quanta/m3 so that the three ventilation
configurations are still safe from exposure to COVID-19 to their occupants. The ventilation
configuration A (upper-inlet upper-outlet) is the best ventilation configuration to reduce the virus
concentration with a maximum Cq value of only 2.64 quanta/m3. |
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