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Automated Hospital Room Disinfection Utilizing a Novel Aerosolized Hydrogen Peroxide Microdroplet Disbursing Technology

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Published on: February 24, 2026

Predicting gaseous pollutant dispersion around a workplace.

Davide Guerra¹, Laurent Ricciardi, Jean-Claude Laborde

¹Airborne Pollutants and Containment Study and Research Department (SERAC), Institute for Radiological Protection and Nuclear Safety (IRSN). Gif-sur-Yvette, France. davide.guerra@irsn.fr

Journal of Occupational and Environmental Hygiene

|June 20, 2007

Summary

This study developed a semi-empirical model to predict airborne pollutant dispersion from accidental releases in ventilated rooms. The model, based on experiments and CFD simulations, aids safety assessments in chemical and nuclear industries.

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Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

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Published on: November 11, 2020

Area of Science:

Environmental Science
Chemical Engineering
Nuclear Engineering

Background:

Accurate prediction of airborne pollutant dispersion is crucial for safety in hazardous industrial operations.
Accidental releases from containment enclosures pose risks in chemical and nuclear facilities.
Existing models may not fully capture the complex space-time evolution of pollutants.

Purpose of the Study:

To develop a predictive model for airborne pollutant concentration evolution after accidental enclosure rupture.
To provide a tool for safety evaluations in nuclear and chemical industries.
To correlate pollutant concentration with leak geometry, emission type, duration, and velocity.

Main Methods:

Utilized gas tracing experiments in an instrumented facility to simulate pressurized gas failures.
Employed multidimensional computational fluid dynamics (CFD) simulations for transient leak analysis.
Developed a semi-empirical model based on free turbulent jet theory and parametric studies of simulation results.

Main Results:

Experimental and CFD simulation results for tracer gas concentration evolution showed strong agreement.
A novel semi-empirical model was formulated as correlations of key parameters.
The model predicts the space-time evolution of pollutant concentration c(x,y,z,t).

Conclusions:

The developed semi-empirical model effectively predicts airborne pollutant dispersion from accidental releases.
The model is readily applicable for safety assessments in nuclear facilities (radioactive material containment, radiological protection) and chemical industries (toxic compounds).
This research enhances risk assessment capabilities for industrial safety scenarios.