Simulation of Formaldehyde Distribution Characteristics under Different Indoor Conditions and Optimization of Monitoring Methods

Abstract

The distribution of indoor formaldehyde concentration is affected by many factors, which makes the concentration distribution of formaldehyde in different indoor positions uneven, which has a negative impact on the monitoring accuracy. Firstly, through orthogonal experiment and numerical simulation, it is determined that the airflow organization and the location of pollution source have a great influence on the monitoring accuracy. Further research found that the relative position of the air supply airflow and the pollution source affected the diffusion of formaldehyde in the room. Through Computational Fluid Dynamics(CFD) simulation, the error and correction basis of the monitoring data caused by different monitoring conditions were obtained. Finally, the accurate optimal monitoring position is given by genetic algorithm optimization. In the optimization process of 17 working conditions, 76% of the working conditions only need one sensor and correction, which can make the monitoring effective coefficient λ reach more than 80%, and 24% of the working conditions need two sensors.