Abstract
With the appearance of the word “haze” in China, PM2.5 (particulate matter with aerodynamic diameter less than 2.5 μm) that can enter occupants' lungs has become a public topic of discussion. Today, the indoor PM2.5 or fine particulate concentration has become one of important factors affecting indoor air quality (IAQ). How to properly monitor indoor PM2.5 is an urgent issue to be discussed and solved. At present, sampling is adopted to know PM2.5 concentration in a room, and Chinese related standard required the sampling time for indoor PM2.5 is at least 8 hours. However, the sampling method takes too much time, and the HVAC system cannot react in real time such as increasing the fresh air volume with increase of indoor PM2.5 concentration. So, there is a great need to find an optimal location for continuous PM2.5 monitoring. Before finding the monitoring point, the spatial and temporal distribution characteristics of indoor PM2.5 concentration are needed to be known. Computational fluid dynamics (CFD) can be used to simulate airflow and dispersion of PM2.5 in rooms with different scales, functions and ventilations. This paper will contribute to find the optimal location which could preferably describe indoor PM2.5 concentration in an office combined with experimental research and CFD simulation. In short, the aim of the paper is to reveal the spatial-temporal characteristics of indoor PM2.5 concentration distribution and optimize the layout of PM2.5 monitoring points for air conditioning systems to better control indoor contaminate PM2.5 concentration.
Highlights
The first time that the U.S environmental protection agency (USEPA) [1] established PM2.5 was in 1997 to protect public health
This study focused on the indoor PM2.5 distribution characteristics and optimal location for its monitoring in an office
The mass concentration of PM2.5 in X=3.5 m is larger than the mass concentration in X=5.2 m located around inlet, so the indoor PM2.5 concentration is directly influenced by velocity. These results indicate that the optimal location for PM2.5 monitoring could be found to represent the mean value of indoor PM2.5 concentration in the breathing zone
Summary
The first time that the U.S environmental protection agency (USEPA) [1] established PM2.5 was in 1997 to protect public health. Due to the rapid industrialization and high energy consumption, PM2.5 pollution is gradually exploding. It can increase the incidence of various respiratory diseases and occupant mortality rates, as well as increase of the energy consumption in heating, ventilation, and air conditioning (HVAC) systems. Nowadays people have spent as much as 80% to 90% hours indoors, such homes, offices, and transport vehicles [2,3,4]. Indoor air quality (IAQ), which have a directly significant influence on health as well as efficiency of study and work [5,6,7], is becoming worse and worse. To solve the problem produced by indoor PM2.5, it is essential to study the indoor PM2.5 concentration distribution characteristics
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