Analysis of carbon dioxide concentration prediction model and diffusion tendency of expiratory by simultaneous multipoint sensing

Motokazu Moritani, Norifumi Watanabe, Kensuke Miyamoto, Kota Itoda, Junya Imani, Hiroyuki Aoyama, Yoshiyasu Takefuji

研究成果: Article査読

抄録

Recent indoor air quality studies show that even 1000 parts per million (ppm) concentration of Carbon Dioxide (CO2) has an adverse effect on human intellectual activities. Therefore, it is required to keep the CO2 concentration below a certain value in a room. In this study, in order to analyze the diffusion tendency of carbon dioxide by breathing, we constructed a simultaneous multi-point sensing system equipped with a carbon dioxide concentration sensor to measure indoor environment. Furthermore, it was evaluated whether the prediction model can be effectively used by comparing the prediction value by the model and the actually measured value from the sensor. The experimental results showed that CO2 by exhaled breathing diffuses evenly throughout the room regardless of the sensor's relative positions to the human test subjects. The existing model is sufficiently accurate in a room which has above at least a 0.67 cycle/h ventilation cycle. However, there is a large gap between the measured and the model's predicted values in a room with a low ventilation cycle, and that suggests a measurement with a sensor still is necessary to precisely monitor the indoor air quality.

本文言語English
論文番号4631
ジャーナルApplied Sciences (Switzerland)
10
13
DOI
出版ステータスPublished - 2020 7 1

ASJC Scopus subject areas

  • 材料科学(全般)
  • 器械工学
  • 工学(全般)
  • プロセス化学およびプロセス工学
  • コンピュータ サイエンスの応用
  • 流体および伝熱

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