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Updated: May 17, 2026

Design and Optimization Strategies of a High-Performance Vented Box
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Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

Application of CFD simulation to predicting upper-room UVGI effectiveness.

Carl A Gilkeson1, Catherine Noakes

  • 1Pathogen Control Engineering Institute, School of Civil Engineering, University of Leeds, Leeds, UK.

Photochemistry and Photobiology
|October 31, 2012
PubMed
Summary

Computational Fluid Dynamics (CFD) simulations can predict upper-room ultraviolet germicidal irradiation (UVGI) effectiveness for system design. Two-dimensional irradiance fields are sufficient for modeling microorganism inactivation, aiding UVGI application development.

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Area of Science:

  • Environmental Engineering
  • Microbiology
  • Computational Science

Background:

  • Upper-room ultraviolet germicidal irradiation (UVGI) is a promising air disinfection technology.
  • Accurate prediction of UVGI effectiveness is crucial for system design and public health applications.
  • Computational Fluid Dynamics (CFD) offers a potential tool for simulating UVGI performance.

Purpose of the Study:

  • To evaluate the potential of CFD simulations for predicting upper-room UVGI effectiveness.
  • To assess the influence of various modeling parameters on dose distribution and microorganism inactivation predictions.
  • To guide the design of UVGI systems and inform future development of guidelines.

Main Methods:

  • A numerical study was conducted using two wall-mounted UVGI lamps in a mechanically ventilated test chamber.

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Last Updated: May 17, 2026

Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

  • Irradiance fields were obtained via radiometry and implemented in the CFD model.
  • Sensitivity analyses were performed on UVGI field accuracy, computational grid, turbulence models, ventilation parameters, lamp configuration, and microorganism susceptibility.
  • Main Results:

    • Two-dimensional (2D) irradiance fields were found to be sufficient for accurate dose and inactivation calculations, while one-dimensional (1D) fields were inadequate.
    • CFD modeling successfully demonstrated the feasibility of simulating the interaction between airflow and UV fields to quantify dose distribution.
    • While passive scalars and species transport models can simulate microorganism inactivation, further validation is required for reliable quantitative predictions.

    Conclusions:

    • CFD simulations show significant potential for predicting upper-room UVGI effectiveness, aiding in system design and optimization.
    • The study highlights the importance of using appropriate dimensionality (2D) for irradiance fields in CFD models for accurate UVGI performance assessment.
    • Further research and validation are needed to fully establish CFD as a reliable tool for quantitative prediction of microorganism inactivation by UVGI.