Filtering Unit Analysis for COVID Scenario

Project Overview :

Conducted an analysis to assess the effectiveness of filtering units in a COVID scenario for a university in Australia. The project focused on studying particle behavior under various airflow conditions and evaluating the performance of filtering units in reducing airborne transmission risks.

Key Contributions :

• Utilized the particle tracking feature in CRADLE CFD (scSTREAM) to randomly initialize particles within the domain, simulating real-world conditions.

• Studied particle behavior under different airflow conditions, providing insights into the effectiveness of filtering units.

• Analyzed the impact of filtering units on particle dispersion, contributing to improved air quality and safety measures.

Outcome :

• Delivered actionable recommendations to optimize filtering unit performance, reducing the risk of airborne transmission in educational facilities.

• Demonstrated the effectiveness of CFD in simulating particle dispersion and supporting infection control strategies in public spaces.

This project highlights expertise in particle dispersion modeling, airflow analysis, and filtering unit evaluation, showcasing the ability to deliver innovative solutions for AEC (Architecture, Engineering, and Construction) and public health challenges.

Tools : CRADLE CFD (scSTREAM)