严寒地区被动房室内PM2.5质量平衡模型与分析OA
Mass Balance Model and Analysis of Indoor PM2.5 in Passive Houses in Severely Cold Regions
采用集总参数法,建立被动房室内PM2.5质量平衡模型,以严寒地区2户典型被动房为研究对象,采用CO2衰减法、连续监测法等实测方式,得出模型参数(换气次数、新风系统特性参数、被动房PM2.5沉降率、被动房PM2.5穿透系数和源强度)的值,建立新风系统特性参数与室外PM2.5质量浓度的关联关系.2户被动房的穿透系数和沉降率比较接近,2户的室内PM2.5沉降率平均值为0.02 h-1,平均穿透系数为0.30,小于普通房及前人的测试成果.新风系统特性参数实测值为1.30±0.12,现有M5中效过滤器无法有效拦截PM2.5.建立的室内PM2.5质量平衡模型及实测获取的关键参数是合理的.
The lumped parameter method was adopted to establish a mass balance model for indoor PM2.5 in passive houses.Two typical passive houses in severely cold regions were selected as study subjects.Through on-site measurements including the CO2 decay method and continuous monitoring,model parameters(air ex-change rate,characteristic parameters of the fresh air system,PM2.5 deposition rate,PM2.5 penetration coef-ficient,and source strength)were determined.The re-lationship between the characteristic parameters of the fresh air system and outdoor PM2.5 mass concentration was established.The penetration coefficients and depo-sition rates of the two passive houses are relatively close,with an average indoor PM2.5 deposition rate of 0.02 h-1 and an average penetration coefficient of 0.30,both lower than those of conventional houses and previ-ous test results.The measured value of the characteris-tic parameter of the fresh air system is 1.30±0.12,indi-cating that the existing M5 medium-efficiency filters cannot effectively intercept PM2.5.The established in-door PM2.5 mass balance model and the key param-eters obtained from field measurements are reasonable.
余志义;王昭俊;关迪午;薛庆雯
哈尔滨工业大学 建筑与设计学院,黑龙江 哈尔滨 150006||寒地城乡人居环境科学与技术工业和信息化部重点实验室,黑龙江哈尔滨 150090哈尔滨工业大学 建筑与设计学院,黑龙江 哈尔滨 150006||寒地城乡人居环境科学与技术工业和信息化部重点实验室,黑龙江哈尔滨 150090哈尔滨工业大学 建筑与设计学院,黑龙江 哈尔滨 150006||寒地城乡人居环境科学与技术工业和信息化部重点实验室,黑龙江哈尔滨 150090哈尔滨工业大学 建筑与设计学院,黑龙江 哈尔滨 150006||寒地城乡人居环境科学与技术工业和信息化部重点实验室,黑龙江哈尔滨 150090
建筑与水利
被动房细颗粒物(PM2.5)穿透系数渗透因子沉降率严寒地区
passive housefine particulate matter(PM2.5)penetration coefficientinfiltration factorde-position rateseverely cold region
《煤气与热力》 2026 (3)
31-37,7
国家自然科学基金项目(项目编号:51678179)
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