Data-driven framework for healthy ventilation indoor spaces


The corona pandemic stressed the current limitations in Indoor Air Quality (IAQ) and ventilation strategies in indoor environments to curb the spread of highly contagious airborne pathogens. The collaboration between different field experts such as architects, engineers, medical experts, and behavioural scientists has recently been presented as a solution to enhance the communication of such important findings across different disciplines. This has led to a growing call for a performance-based design and more specifically a pathogen-source-based design that brings together experts to propose design solutions that do not make occupants sick. To avoid costly consequences of the next pandemic, experts need to be proactive in the design of healthy indoor environments to limit the spread of highly contagious airborne pathogens. Consequently, in collaboration with the Indoor Environment group, this project aims to explore the development of a framework that optimises ventilation regimes in indoor spaces using indoor measurements, CFD, and 3D modelling.


Nadine Hobeika photo

Nadine Hobeika
PhD candidate (TUD)

Clara Garcia Sanchez photo

Clara Garcia Sanchez
Assist. Professor (TUD)