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

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Article number4631
JournalApplied Sciences (Switzerland)
Volume10
Issue number13
DOIs
Publication statusPublished - 2020 Jul 1

Keywords

  • Carbon dioxide concentration sensor
  • Indoor air quality
  • Indoor measurement
  • Simultaneous multipoint sensing

ASJC Scopus subject areas

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

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