Optimization of Operations of Air Purifiers for Control of Indoor PM2.5 Using BIM and CFD

被引:2
|
作者
Chen, Keyu [1 ]
Tan, Zongneng [2 ]
Zhou, Huadong [3 ]
Tan, Yi [4 ]
机构
[1] Hainan Univ, Sch Civil Engn & Architecture, Haikou 570228, Peoples R China
[2] WSP Global Inc, Dept Bldg Serv, Shanghai 200052, Peoples R China
[3] Shenzhen Baoan Dist Construct & Works Bur, Shenzhen 518051, Peoples R China
[4] Shenzhen Univ, Coll Civil & Transportat Engn, Shenzhen 518060, Peoples R China
基金
海南省自然科学基金;
关键词
air purifier; building information modeling (BIM); computational fluid dynamics (CFD); PM2; 5; location optimization; PARTICLE CONCENTRATIONS; PARTICULATE MATTER; ELEMENTAL COMPOSITION; NATURAL VENTILATION; TURBULENCE MODELS; FINE PARTICLES; HOMES; OUTDOOR; QUALITY; IMPACT;
D O I
10.3390/buildings13010077
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Prevention of PM2.5 is attracting increasing attention all over the world as PM2.5 can cause and exacerbate respiratory diseases. Compared with conventional natural ventilation and mechanical ventilation, air purifiers with particular filters are more efficient in the control of indoor PM2.5. Currently, there are limited studies on the operations of portable indoor air purifiers. To improve the efficiency of an air purifier in control of PM2.5, an optimal operational strategy is needed. This paper proposes a framework for the optimization of operations of air purifiers for control of indoor PM2.5 based on building information modeling (BIM) and computational fluid dynamics (CFD). A case study is conducted to validate the proposed optimization framework and the results are discussed. It can be shown from the results that the best location of the air purifier can increase efficiency by up to 33% compared with other locations.
引用
收藏
页数:20
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