室内细颗粒物(PM2.5)浓度影响因素的数值模拟

Numerical simulation on factors influencing indoor PM2.5 concentration

利用Fluent软件,模拟分析了集中送风条件下过滤器效率、换气次数、室内PM2.5初始浓度、气流组织形式等因素对室内PM2.5浓度的影响。结果显示:侧送侧回和上送下回两种气流组织形式相比,侧送风的气流速度较快,在相同的时间内,它的扩散范围大于上送风,使室内污染面积增大;在室外空气污染较严重的情况下,增加换气次数并不利于改善室内空气品质;室内初始浓度与混合浓度呈正比关系,初始浓度越高,室内污染物越不容易稀释;新风过滤器效率对混合浓度的影响大于室内初始PM2.5浓度的影响,过滤器效率与室内PM2.5浓度呈线性关系。

Simulates and analyses the influences of various factors on the indoor PM2.5 concentration by Fluent software, including the filtration efficiency, air exchange rate, initial concentration of indoor PM2.5 and air distribution modes in an air conditioning room with the central air supply. The results show that compared with that of the up-supply and down-return system, the air flow velocity of the sideward air supply and return system is faster, and its diffusion range is greater in the same time, resulting the increase of the indoor pollution area. When the outdoor air pollution is serious, the increase of the air exchange rate is not conducive to improve the indoor air quality. Indoor initial concentration is proportional to mixed concentration,and the higher the initial concentration of indoor PM2.5, the more difficult the indoor pollutant dilution. The effect of the air filter efficiency on mixed PM2.5 concentration is greater than that of the initial PM2.5 concentration on the concentration of the mixture. The air filter efficiency and indoor PM2.5 concentration are linear relationship.