Evaluation of Turbulence Models and Boundary Conditions for Hybrid Ventilation in Reduced-scale Classroom Model
Deep Narayan Singh (1), Lagoon Biswal (1), Girish Naik (2), Manaswita Bose (2), and Krishnendu Sinha (1) ((1) Department of Aerospace Engineering, Indian Institute of Technology Bombay, Mumbai 400076 India (2) Department of Energy Science, Engineering

TL;DR
This study evaluates turbulence models and boundary conditions in RANS simulations of hybrid classroom ventilation, highlighting the importance of geometry and boundary setup for accurate airflow prediction.
Contribution
It systematically compares turbulence models and boundary conditions in RANS simulations against experimental data for hybrid ventilation airflow.
Findings
Turbulence models match near the door but over-predict downstream velocities.
Boundary conditions significantly influence simulation accuracy.
Extended domain boundary conditions yield results closest to experimental data.
Abstract
In this paper, we study the ventilation airflow in a model classroom, where exhaust fans throw out the used air, to replace it with outdoor air through open door. Hybrid ventilation, or mechanically assisted natural ventilation, of this kind is used as a retrofit design to reduce infection risk from airborne transmission. The air stream entering the door forms a jet-like flow, driven by the suction effect of exhaust fans. We compute the jet velocity using Reynolds averaged Navier Stokes (RANS) method and compare with velocity field measured using particle image velocimetry. Different turbulence models are found to match experimental data near the door, but they over-predict the peak jet velocity further downstream. There is minimal variation between the results obtained using different turbulence models. The computational results are found to be sensitive to inlet boundary conditions,…
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Taxonomy
TopicsInfection Control and Ventilation · Aerodynamics and Acoustics in Jet Flows · Wind and Air Flow Studies
