一种基于自然通风的室内空气悬浮颗粒浓度的动态预测方法

Prediction of Indoor Respirable Suspended Particulates Concentration Based on Natural Ventilation

在一个现有多区流动自然通风预测模型的基础上,建立了室内空气悬浮颗粒浓度的动态模型.所采用多区流动自然通风模型和悬浮颗粒浓度模型都基于简单的宏观流动、传热传质方程.对所建立模型的验证表明,该模型适合对自然通风建筑物做长期预测计算.

A dynamic model that is based on an existing natural ventilation for predicting indoor RSP(res-pirable suspended particulates)oncentrations was developed. Both the airflow rate model and the pollutant concentration model are based on the simple macroscopic governing equations for airflow, heat and pollutant transport in buildings. The relationship between outdoor and indoor RSP concentrations in multi-zone buildings was investigated. The model was verified to predict long-term indoor RSP concentration of natural ventilation building.