American Association for Aerosol Research - Abstract Submission

AAAR 34th Annual Conference
October 12 - October 16, 2015
Hyatt Regency
Minneapolis, Minnesota, USA

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Reduction of Residential Indoor Particulate Matter Concentration Using a Portable Air Cleaner Equipped with Wireless Sensors: Big Data Analysis

BYONG HYOEK LEE, Jong Cheol Kim, Kyung Hwan Lee, Yoon Hyuk Choi, Sanghyeon Kang, Sun Yong Lee, Environmental Technology Institute, Coway R&D Center

     Abstract Number: 293
     Working Group: Indoor Aerosols

Abstract
With increase in time people spend indoors, the control of indoor air quality has become essential. The most effective way to reduce indoor particulate matter concentrations is ventilation. Ventilation, however, may not be effective since the concentrations of particulate matters outdoor may exceed that of the indoor concentrations. Portable Air cleaning devices have been proven to efficiently control the particulate matters In the study, a portable air cleaner equipped with HEPA filter is used to reduce the residential indoor particulate matter concentrations. Moreover, the device is equipped with air quality sensors, including particulate matter sensor, which monitor and transfer the data to a remote server every five seconds unless a wifi connection is disconnected. More than 1100 households in Seoul, Korea were provided with the air cleaners and indoor particulate matter concentrations were monitored for 38 days. The overall average PM10 and PM2.5 concentrations were 39.9 microgram per cubic meters and 17.9 microgram per cubic meters, respectively. The PM10 and PM2.5 concentrations were approximately 16% and 21% lower when the air cleaners were operational. Moreover when the outdoor PM concentrations were relatively high, due to migration of Asian Yellow Dusts, the effectiveness of the air cleaners was greater. With a vast expansion of Internet of Things, air cleaning device equipped with wireless particulate matter sensors may provide valuable information on the indoor particulate matters