TY - GEN
T1 - Computational Fluid Dynamics (CFD) Analysis of Ultraviolet Germicidal (UV-C) to Control the Probability of Infection due to Transmission of Airborne Pathogens
AU - Khankari, Kishor
AU - Bahnfleth, William
N1 - Publisher Copyright:
© 2022 ASHRAE.
PY - 2022
Y1 - 2022
N2 - The wavelength band of 200-280 nm of UV-C radiation generated by the Ultraviolet Germicidal Irradiation (UVGI) system can destroy the reproduction ability of microorganisms. Several factors related to UV fixtures, HVAC layout, and the resulting airflow flow patterns can affect the performance of upper-room UVGI applications. With the help of Computational Fluid Dynamics (CFD) analyses, this study systematically evaluates the impact of UV-C intensities on the effectiveness of an upper room UVGI system. It shows that the addition of even a small amount of UV-C energy in the upper region of space can significantly reduce the probability of infection as predicted by the Wells-Riley model. Increasing the UV-C output shows a further reduction in the infection probability, although with a diminishing impact. A further investigation is necessary to evaluate the effect of airflow patterns on the performance of UVGI systems. These studies demonstrate that CFD analyses can help optimize the performance of UVGI systems to minimize the probability of infection in indoor spaces.
AB - The wavelength band of 200-280 nm of UV-C radiation generated by the Ultraviolet Germicidal Irradiation (UVGI) system can destroy the reproduction ability of microorganisms. Several factors related to UV fixtures, HVAC layout, and the resulting airflow flow patterns can affect the performance of upper-room UVGI applications. With the help of Computational Fluid Dynamics (CFD) analyses, this study systematically evaluates the impact of UV-C intensities on the effectiveness of an upper room UVGI system. It shows that the addition of even a small amount of UV-C energy in the upper region of space can significantly reduce the probability of infection as predicted by the Wells-Riley model. Increasing the UV-C output shows a further reduction in the infection probability, although with a diminishing impact. A further investigation is necessary to evaluate the effect of airflow patterns on the performance of UVGI systems. These studies demonstrate that CFD analyses can help optimize the performance of UVGI systems to minimize the probability of infection in indoor spaces.
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M3 - Conference contribution
AN - SCOPUS:85167716296
T3 - ASHRAE Transactions
SP - 340
EP - 347
BT - 2022 ASHRAE Winter Conference
PB - ASHRAE
T2 - 2022 ASHRAE Virtual Winter Conference
Y2 - 29 January 2022 through 2 February 2022
ER -