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Optimizing air purification for household particulate matters using sensor-based and time-based intervention strategies |
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| Affiliation: | 1. Department of Epidemiology and Environmental Health, School of Public and Health Professions, University at Buffalo, Buffalo, 14214, USA;2. Department of Earth Science and Geography, California State University, Dominguez Hills, Carson, 90747, USA;3. Department of Environmental Science, Baylor University, Waco, 76798, USA;1. College of New Energy, China University of Petroleum (East China), Qingdao, 266580, China;2. Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, 100190, China;1. School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China;2. Department of Chemical & Biochemical Engineering, Western University, London, Ontario, N6A 3K7, Canada;3. Institute of Shaoxing, Tianjin University, Zhejiang, 312300, China;1. School of Environment and Safety Engineering, North University of China, Taiyuan, 030051, China;2. Shanxi Engineering Technology Research Center for Ultrafine Powder, North University of China, Taiyuan, 030051, China;3. School of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China;4. Institute of Occupational Health of Ordnance Industry, Xi''an, 710065, China;1. School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212000, China;2. School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212000, China |
| Abstract: | Filtration efficiency of portable air cleaner (PAC) is affected by resident perceptions and adherences to when and how to operate the PAC. Incorporating PAC with smart control and sensor technology holds the promise to effectively reduce indoor air pollutants. This study aims to evaluate the efficiency of a PAC at removing indoor fine particulate matters (PM2.5) exposure under two automated operation settings: (1) a time-based mode in which the operation time is determined based on perceived time periods of indoor pollution by residents; (2) a sensor-based mode in which an air sensor monitor is used to determine the PAC based on the actual PM2.5 level against the indoor air quality guideline. The study was conducted in a residential room for 55 days with a rolling setting on PAC (no filtration, sensor-based, time-based filtrations) and a continuous measurement of PM2.5. We found that the PAC operated with sensor-based mode removed PM2.5 concentrations by 47% and prolonged clean air (<35 μg/m3) period by 23% compared to the purifications with time-based mode which reduced PM2.5 by 29% and increased clean air period by 13%. The sensor-based filtration identified indoor pollution episodes that are hardly detected by personal perceptions. Our study findings support an automated sensor-based approach to optimize the use of PAC for effectively reducing indoor PM2.5 exposure. |
| Keywords: | Air cleaner Particulate matter Sensor-based filtration Time-based filtration Indoor pollution |
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