室内PM2.5浓度控制模拟分析

利用质量平衡方程建立了一次回风定风量系统室内PM2.5浓度模型，并对新风PM2.5浓度、新风量、室内污染源、过滤器效率、过滤器安装位置等因素对室内PM2.5浓度的影响进行了模拟分析。模拟结果表明：新风PM2.5浓度和室内污染源强度的变化对室内PM2.5浓度均有较大影响；新风量越大，室内PM2.5浓度受新风PM2.5浓度变化的影响越大；将过滤器分别安装在送风段、新风段和回风段，新风比为0.1时，过滤器安装在送风段效果最好，安装在新风段最差，新风比为0.8时，过滤器安装在送风段效果最好，安装在回风段最差；过滤器安装在送风段时，过滤器效率越高，室内PM2.5浓度越低，波动越小。

Simulation analysis of indoor PM2.5 concentration

In this study,an indoor PM2.5 concentration model of a primary-return-air constant-air-volume system was built based on a mass balance equation,and the impacts of various factors on the indoor PM2.5 concentration were analyzed,including the fresh air PM2.5 concentration,fresh air volume,indoor air pollution source,filter efficiency,and filter location. The results showed that fresh air PM2.5 concentration and indoor air pollution source affected the indoor PM2.5 concentration;and as fresh air volume increased,it exerted greater influence on the indoor PM2.5 concentration. It was assumed that a single filter was used for either the supply,fresh air,or return airstreams. The highest reduction in indoor PM2.5 concentration was achieved by using a supply air filter,whether the fresh air ratio was 0.1 or 0.8;but the indoor PM2.5 concentration decreased the least with a fresh air or return air filter,as the fresh air ratio was 0.1 and 0.8,respectively. When the filter was used for the supply airstream,the increase in filter efficiency led to a lower indoor PM2.5 concentration.