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A Mathematical Model of Risk Assessment on Airborne Infection in a Room with an Outlet Ventilation System
Author(s)
Timpitak, Wasu
Date Issued
January 1, 2022
Type
Article
Abstract
The airborne infection is spread through the air, especially in indoor spaces. Indoor spaces present a significant risk of infection, although this may be reduced by employing all methodologies to prevent infection via aerosols. TB, COVID-19, MERS, and SARS are all hazardous communicable diseases that spread from person to person through air or aerosol in a variety of ways, including coughing, spitting, sneezing, speaking, or through wounds. COVID-19, TB, MERS, and SARS are all risks, and the elevated risk of a lethal infection leads more patients to become infected in indoor spaces. We should also be notified about the recognition and prevention of these diseases. As a result, proper air quality control, such as carbon dioxide (CO2) concentrations, is needed to monitor and reduce the potential for infected air. It is difficult to assess and monitor carbon dioxide in a room with a ventilation system where the number of people in each room changes frequently. In this research, the numerical model of carbon dioxide concentration measurement in a space with an opened ventilation system is proposed. The model is used to calculate the concentration of carbon dioxide at any time when the number of persons and the rate of ventilation vary. The standard fourth-order Runge-Kutta method is employed to approximate the model solution. There are many scenarios for improving air quality in the suggested simulations. The proposed model for the air quality control system achieves a balance between the number of persons permitted to remain in the room and the air ventilation system’s efficiency.
Citation
Engineering Letters, 30(2), 898-903, 2022