家用空气净化器滤芯寿命的模拟评价
摘要：采用EnergyPlus软件，建立了空气净化器动态性能预测模型，并进行了实验验证。运用该模型，对3个不同城市的同一典型住宅使用空气净化器的动态性能进行了模拟，评价参数包括室内细颗粒物PM2.5浓度、洁净空气量(CADR)、噪声、滤芯寿命及更换费用，提出了满足不同需求的空气净化器滤芯更换方案，并对其经济性进行了评估。研究发现：在沈阳、天津和成都地区，参照2016年的大气污染水平，以保证室内PM2.5浓度达标为前提，若空气净化器在CADR减半时更换滤芯，一般空气净化器的滤芯寿命为1年左右，此时用于净化器运行和更换滤芯的费用最少；若维持更低的室内PM2.5浓度或更小的噪声，则大概运行3～9个月便需更换滤芯，用于净化器运行和更换滤芯的费用至少增加40%。
关键词：空气净化器滤芯寿命动态性能预测模型PM2.5浓度洁净空气量CADR)噪声
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[2] MORAWSKA L,JAMRISKA M,GUO H,et al.Variation in indoor particle number and PM 2.5,concentrations in a radio station surrounded by busy roads before and after an upgrade of the HVAC system[J].Building and environment,2009,44(1):76- 84.
[3] NOVOSELAC A,SIEGEL J A.Impact of placement of portable air cleaning devices in multizone residential environments[J].Building and environment,2009,44(12):2348- 2356.
[4] 2016年空气净化器销量排行榜(官方版)[EB/OL].[2020-09-01].https://www.sohu.com/a/106213150_441737.
[5] 石芳芳，邱利民，于川，等.室内空气净化技术及产品综述[J].制冷学报，2014(5):14- 18.
[6] 邓高峰.室内空气质量及空气净化装置净化效果评价[D].北京：北京化工大学，2012:11.
[7] SAFARI V,HAGHIGHAT F,LEE C S,et al.A systematic approach for evaluation of gas-phase filter model[J].HVAC&R research,2013,19(6):705- 714.
[8] 中国家用电器研究院，清华大学，中国疾病预防控制中心，等.空气净化器：GB/T 18801—2015[S].北京：中国标准出版社，2015:4,10- 12.
[9] BAKER P H,SHARPLES S,WARD I C.Air flow through cracks[J].Building and environment,1987,22(4):293- 304.
[10] KASPER G,SCHOLLMEIER S,MEYER J.Structure and density of deposits formed on filter fibers by inertial particle deposition and bounce[J].Journal of aerosol science,2010,41(12):1167- 1182.
[11] CHEN C,ZHAO Y,ZHAO B.Emission rates of multiple air pollutants generated from Chinese residential cooking[J].Environmental science and technology,2018,52(3):1081- 1087.
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Simulation and evaluation of filter life of household air purifiers
Abstract: This investigation proposes a model to predict the dynamic performance of air purifiers based on EnergyPlus, and validates the model with the measurement data. Then the model is adopted to simulate the dynamic performance of the air purifier used in the same typical residential apartment located in three different cities. The evaluation parameters include indoor fine particle(PM2.5) concentration, clean air delivery rate(CADR), noise level, filter life and replacement bill. The replacement schemes of the filters of air purifiers to meet different needs are put forward, and their economy is evaluated. The results reveal that the annual replacement of filters in Shenyang, Tianjin and Chengdu is the most economic means to get indoor PM2.5 concentrations within the acceptable levels, based on the atmospheric pollution conditions in 2016, if the filter life is set to that when the CADR is approximately one-half of its initial value. If higher indoor air quality or lower noise is required, the filters shall be replaced every 3-9 months, which results in the energy consumption and replacement bill increasing by at least 40%.
Keywords: air purifier; filter life; dynamic performance prediction model; PM2.5 concentration; clean air delivery rate(CADR); noise;
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