Paper Conference

Proceedings of Building Simulation 2021: 17th Conference of IBPSA

     

CFD modelling of contaminant control in designing ventilation system for an airborne infection isolation room (AIIR)

Aaditya Ruiker, Shadab Mohammed, Rohit Chavan, Praveen Kumar, Sandip Jadhav
Center for Computational Technologies Pvt. Ltd. (CCTech)

DOI: https://doi.org/10.26868/25222708.2021.30969
Abstract: The current epidemic situation created a challenge for the healthcare industry in designing quick-to-build isolation rooms to prevent the spread of infection. ASHRAE and various organizations have defined various standards in designing airborne infection isolation rooms, such as maintaining pressure differential with adjacent spaces and minimum air-exchange rates. However, there is still uncertainty whether the room is refreshed uniformly or there are any stagnant, under-ventilated areas in the room where infectious contaminants might be concentrated. This study aims to develop a methodology to examine airflow behavior for a ventilation strategy in an isolation room using computational fluid dynamics (CFD). The simulations have been carried out using the open-source CFD software package OpenFOAM with cloud-based computational technology. The contamination diffusion field modeled using the passive scalar transport method. The simulation uses k-e turbulence model and compressible fluid flow by considering the effect temperature. In this study, three different ventilation strategies are analyzed based on the contaminant distribution pattern and effective removal of contaminant from the room. The results show that the strategy utilizing two exhaust air grilles on the wall behind the bed in the human breathing zone is very effective in contaminant removal without much spread in the room.
Keywords: airborne infection, CFD simulation, HVAC, airborne infection isolation room
Pages: 2219 - 2223
Paper:
bs2021_30969