Indoor inhalation exposure can be minimized through mechanical ventilation. On the other hand, building and mechanical ventilation design remain as the main sources of energy consumption. The present study focuses on the optimization of a displacement-ventilated room by applying computational fluid dynamics, virtual manikins and a genetic algorithm in order to minimize airborne viral density while reducing the energy consumption level.
Optimization of airflow rate in a displacement-ventilated room to minimize particle inhalation risk and control energy consumption
Year:
2024
Languages: English | Pages: 3 pp
Bibliographic info:
44th AIVC - 12th TightVent - 10th venticool Conference – Dublin, Ireland - 9-10 October 2024