CFD Analysis of Indoor Ventilation for Airborne Virus Infection

Authors

  • Kaishan Feng Graduate School of Life Science System and Engineering, Kyushu Institute of Technology, Hibikino 2-4, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0196, Japan
  • Yoshiki Yanagita Graduate School of Life Science System and Engineering, Kyushu Institute of Technology, Hibikino 2-4, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0196, Japan
  • Yuko Miyamura Graduate School of Life Science System and Engineering, Kyushu Institute of Technology, Hibikino 2-4, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0196, Japan
  • Adi Azriff Basri Department of Aerospace Engineering, Faculty of Engineering, Universiti of Putra Malaysia, 43400 Serdang, Selangor, Malaysia
  • Mohammad Zuber Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), 75150 Melaka, Malaysia
  • Siti Rohani Hospital Kuala Lumpur, Jalan Pahang, 50586 Kuala Lumpur, Malaysia
  • Kamarul Arifin Ahmad Department of Aerospace Engineering, Faculty of Engineering, Universiti of Putra Malaysia, 43400 Serdang, Selangor, Malaysia
  • Masaaki Tamagawa Graduate School of Life Science System and Engineering, Kyushu Institute of Technology, Hibikino 2-4, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0196, Japan

DOI:

https://doi.org/10.37934/arnht.14.1.116

Keywords:

Infection prevention, Ventilation, CFD, Residence time, Aerosols

Abstract

CFD Analysis of Indoor Ventilation for Airborne Virus Infection
Indoor airflow patterns and air residence times significantly influence the spread of airborne infectious viruses, such as COVID-19. These factors can be quantified using computational fluid dynamics (CFD). In this study, CFD was utilized to assess the indoor airflow patterns and calculate air residence times in a typical restroom with high personnel flow and low ventilation efficiency. The results identified regions with high air residence times, indicating potential risk areas for airborne virus retention. Furthermore, the effects of different ventilation strategies on these high-risk areas were analyzed. Despite meeting air change standards, certain regions were found to potentially pose a higher risk due to prolonged air residence times. Based on these findings, recommendations for improving ventilation systems to reduce the risk of airborne virus infection were proposed. This study highlights the necessity of a more nuanced approach to indoor air assessment than simply calculating air changes per hour. It was concluded that (1) different ventilation strategies can greatly affect the air residence time in the room and (2) the variance of air residence time in the air circulation area are large in some locations, even with simple ventilation adjustments.

Author Biographies

Kaishan Feng, Graduate School of Life Science System and Engineering, Kyushu Institute of Technology, Hibikino 2-4, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0196, Japan

feng.kaishan566@mail.kyutech.jp

Yoshiki Yanagita, Graduate School of Life Science System and Engineering, Kyushu Institute of Technology, Hibikino 2-4, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0196, Japan

yanagita.yoshiki267@mail.kyutech.jp

Yuko Miyamura, Graduate School of Life Science System and Engineering, Kyushu Institute of Technology, Hibikino 2-4, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0196, Japan

miyamura.yuko@edu.life.kyutech.ac.jp

Adi Azriff Basri, Department of Aerospace Engineering, Faculty of Engineering, Universiti of Putra Malaysia, 43400 Serdang, Selangor, Malaysia

adiazriff@upm.edu.my

Mohammad Zuber, Department of Aeronautical and Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education (MAHE), 75150 Melaka, Malaysia

mohammad.zuber@manipal.edu

Siti Rohani, Hospital Kuala Lumpur, Jalan Pahang, 50586 Kuala Lumpur, Malaysia

sitirohanimy@hotmail.com

Kamarul Arifin Ahmad, Department of Aerospace Engineering, Faculty of Engineering, Universiti of Putra Malaysia, 43400 Serdang, Selangor, Malaysia

aekamarul@upm.edu.my

Masaaki Tamagawa, Graduate School of Life Science System and Engineering, Kyushu Institute of Technology, Hibikino 2-4, Wakamatsu-ku, Kitakyushu, Fukuoka 808-0196, Japan

tama@life.kyutech.ac.jp

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Published

2023-10-11

How to Cite

Kaishan Feng, Yoshiki Yanagita, Yuko Miyamura, Adi Azriff Basri, Mohammad Zuber, Siti Rohani, Kamarul Arifin Ahmad, & Masaaki Tamagawa. (2023). CFD Analysis of Indoor Ventilation for Airborne Virus Infection. Journal of Advanced Research in Numerical Heat Transfer, 14(1), 1–16. https://doi.org/10.37934/arnht.14.1.116

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