Development of a numerical optimization approach to ventilation system design to control airborne contaminant dispersion and occupant comfort
computational fluid dynamics, ventilation design, multi-objective optimization, response surface method, genetic algorithm, contaminant dispersion, thermal comfort, infection risk
Airflow, contaminant concentration, and temperature distribution during heating and ventilation in a model room represented by a square cavity with inlet and outlet ports, have been studied. The aim of this work is concerned with the development and implementation of a practical and robust optimization scheme based on the combination of response surface methodology (RSM) and genetic algorithm (GA) with the aim of assisting hospital ward designers and managers/operators to enhance infection control (i.e., reduce the risk of airborne transmission) without compromising patient comfort and environmental impact.
Tsinghua University Press
M. Amirul Islam Khan, Catherine J. Noakes, Vassili V. Toropov. Development of a numerical optimization approach to ventilation system design to control airborne contaminant dispersion and occupant comfort. Build Simul, 2012, 5(1): 39–50.