Abstract
Identification of airborne pollutant source location in indoor environment is significant for the indoor environment and occupants safety. Previous studies focus on unsteady air flow condition were proved valid to identify the source location with the information of boundary condition and known pollutant releasing time based on the adjoint probability algorithm. However, since pollutant releasing time is possibly unknown, it is necessary to investigate the source location identification with unknown releasing time under unsteady airflow condition. This paper mainly focuses on the airborne pollutant source location identification under unsteady airflow with unknown pollutant releasing time, by employing adjoint probability-based inverse tracking method. Two cases studies using CFD tools with RANS model under unsteady airflow were conducted. It is proved that the adjoint probability-based inverse tracking method is cable of identifying the air pollutant source location under unsteady airflow with unknown releasing time.
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