基于集总参数模型的室内PM2.5浓度预测

Pre-valuation of indoor PM2.5 concentration based on lumped parameter model

基于颗粒物浓度集总参数模型建立室内PM2.5预测模型,同时对模型中的关键参数穿透率、沉降率理论模型进行理论计算.以常州市某住宅建筑为例,通过动态模型对穿透率和沉降率模型进行实验验证,实验采样时间为2017年3月~2018年1月.根据实验数据计算换气次数在0.31~0.89h-1范围内PM2.5通过维护结构的穿透率为0.78~0.97,室内PM2.5沉降率为0.3~0.69h-1.本模型能较好地适用于自然通风、机械通风等不同通风工况室内颗粒物浓度预测.当室外PM2.5浓度在135~150μg/m3变化时,使用过滤效率为82%的新风系统可维持室内PM2.5浓度值在40~46μg/m3.

Experiments and theoretical analysis were conducted in a residential building in Changzhou to study particle penetration efficiency and deposition rate through establishing lumped parameter model of indoor PM2.5 concentration.Meanwhile,the accuracy of those models were tested and verified by experiments using a dynamic model,and the collection time from March 2017 to January 2018.According to the experimental data,the result of PM2.5 penetration efficiency was 0.78 to 0.97,while for deposition rate,it was 0.3 to 0.69h-1 when air exchange rate ranged from 0.31 to 0.89h-1.The models could be well applied to indoor particle prediction under different ventilation methods such as natural ventilation,mechanical ventilation,etc.The indoor PM2.5 concentration ranged from 40 to 46μg/m3 by using fresh air system with 82%filtration efficiency,while outdoor PM2.5 concentration was 135 to 150μg/m3.