Detail publikace

Evaluating the impact of human movement-induced airflow on particle dispersion: A novel real-time validation using IoT technology

KEK, HY. TAN, HY. OTHMAN, MHD. NIU, JL. WOON, KS. FAN, Y. CHAN, YT. TANA, KY. WONG, KY.

Originální název

Evaluating the impact of human movement-induced airflow on particle dispersion: A novel real-time validation using IoT technology

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Human movement significantly influences local airflow and particle dispersion in indoor environments. Therefore, this study integrates the dynamics of human walking into the analysis of airborne infection risks in a positive pressure isolation ward designed for the protection of immunocompromised patients. Real-time data collection was performed using an anemometer and IoT-based PM sensors to measure airflow velocities and particulate matter (PM) concentrations within a full-scale experimental chamber. Computational Fluid Dynamics (CFD) was used for the numerical simulations, and a User-Defined Function (UDF) code simulated the translational movement of a manikin. The results demonstrated strong agreement with the experimental data, thereby validating the airflow turbulence and Lagrangian-based Discrete Phase Model (DPM) in predicting the airflow velocities and particle transport. The study revealed that human walking substantially enhanced particle dispersion distance by 10-fold compared to static conditions, primarily attributed to intensified air mixing induced by the body movement. Furthermore, the CFD analysis underscored that the direction of walking plays a crucial role in airborne transmission. Specifically, walking away from a patient did not elevate infection risk, whereas approaching a patient significantly increased particle deposition in the patient-occupied region. This study highlights the critical need to consider both movement patterns and directional flow in managing airborne infection risks, contributing to the development of more effective infection control strategies in healthcare settings.

Klíčová slova

Human movement; computational fluid dynamics (CFD); internet of things (IoT) sensor; Airborne infection; Indoor air

Autoři

KEK, HY.; TAN, HY.; OTHMAN, MHD.; NIU, JL.; WOON, KS.; FAN, Y.; CHAN, YT.; TANA, KY.; WONG, KY.

Vydáno

15. 11. 2024

Nakladatel

ELSEVIER SCIENCE SA

Místo

LAUSANNE

ISSN

0378-7788

Periodikum

ENERGY AND BUILDINGS

Číslo

323

Stát

Švýcarská konfederace

Strany od

114825

Strany do

114825

Strany počet

15

URL

https://www.sciencedirect.com/science/article/pii/S0378778824009411?via%3Dihub

BibTex

@article{BUT197365,
  author="KEK, HY. and TAN, HY. and OTHMAN, MHD. and NIU, JL. and WOON, KS. and FAN, Y. and CHAN, YT. and TANA, KY. and WONG, KY.",
  title="Evaluating the impact of human movement-induced airflow on particle dispersion: A novel real-time validation using IoT technology",
  journal="ENERGY AND BUILDINGS",
  year="2024",
  number="323",
  pages="114825--114825",
  doi="10.1016/j.enbuild.2024.114825",
  issn="0378-7788",
  url="https://www.sciencedirect.com/science/article/pii/S0378778824009411?via%3Dihub"
}