PM0.1 Dispersion Model For Indoor Air Conditioner

Abstract

Particulate matter measurement has been found uncertainty due to the particle random and speed movement. In order to collect good measurement results, a computational model can be used as a tool. This study presents a numerical approach to forecast the particulate movement in the indoor. The paper provided information about how the simulation model can be applied in the measurement process as an assistance tool. The numerical approach was developed based on the Navier-Stokes equation. The model was tested in the indoor office room with a single air conditioner system. The exposure speed was settled at 1.5 m/s with the exposure direction 45 degrees downward. The simulation was conducted for 10 minutes for the air conditioner that were operated without any cooling or heating process. In the result, the direction of the particulate was affected by the duration of the movement. The particulate movement depended on the room. The particulate exposure direction changed as a function of time before occupying the room. The model precision is obtained 90% after the simulation data were validated. The model works well in estimating PM0.1 concentration distribution. The model can be used to determine the measurement point in real measurement.