Modern Solutions for Indoor Air Quality Management in Commercial and Residential Spaces

Kraiwuth Kallawicha, Pokkate Wongsasuluk, Hsing Jasmine Chao

研究成果: 書貢獻/報告類型章節

3 引文 斯高帕斯(Scopus)


Indoor air pollutants in certain environments, such as a damp home or a low-ventilation office, are more concentrated indoors than outdoors. As people spend most of their time indoors, there is a high chance that they are exposed to indoor air pollution. This exposure might lead to adverse health outcomes such as allergies, infection, and respiratory diseases. Therefore, proper indoor environment management is crucial for promoting indoor air quality, consequently benefiting the health and well-being of occupants. In commercial spaces, a lot of people gather and perform various activities together, and higher concentrations of indoor air pollution are generated, which leads to accumulation of pollutants if proper management is not achieved, especially during the COVID-19 pandemic when biological pollutants (i.e., viral particle) can accumulate indoors due to poor ventilation environment. In residential spaces, indoor air quality may worsen due to activities such as cooking, painting, using personal care products, and washing. These activities generate indoor air pollution, thus affecting the health of occupants. In addition, poor air quality in microenvironments apparently affects sleep quality. This chapter proposes a concept of indoor air quality management in commercial and residential spaces including sources and control. Moreover, the management technologies have been summarized varying from a simple technique that can be handled by the occupants to a more complicated technique that requires more equipment and professional skill. The methods provided here can benefit the occupants, especially the occupants living in limited-space residences, such as apartment buildings in urban areas.
主出版物標題Internet of Things
發行者Springer Science and Business Media Deutschland GmbH
出版狀態已發佈 - 2022


名字Internet of Things

ASJC Scopus subject areas

  • 訊號處理
  • 儀器
  • 電腦科學應用
  • 電腦網路與通信
  • 計算機理論與數學
  • 人工智慧


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