Qingyan Chen

TL;DR: In this article, the authors present an overview of the tools used to predict ventilation performance in buildings, which includes analytical models, empirical models, small-scale experimental models, full scale experimental model, multizone network models, zonal models, and computational fluid dynamics models.

TL;DR: In this paper, Jive k-e, two-equation models are evaluated for their performance in predicting natural convection, forced convection and mixed convection in rooms, as well as an impinging jet flow.

TL;DR: The present study was designed to develop an accurate source model to define thermo-fluid boundary conditions for a cough that can aid in accurately predicting the disease transmission in various indoor environments, such as aircraft cabins, office spaces and hospitals.

TL;DR: A source model is developed to provide the thermo-fluid conditions of the exhaled air from the breathing and talking processes and can be used to describe the disease source due to breathing andtalking.

TL;DR: In this paper, the authors compared the performance of the Eulerian and Lagrangian models with an emphasis on their performance of predicting particle concentration distributions in ventilated spaces, and showed that the Lagrangians can well predict the steady-state particle concentration distribution, while the eulerians were computationally more demanding.