• DocumentCode
    2636314
  • Title

    Estimation of the number of people under controlled ventilation using a CO2 concentration sensor

  • Author

    Ito, Seiya ; Nishi, Hiroaki

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Keio Univ., Yokohama, Japan
  • fYear
    2012
  • fDate
    25-28 Oct. 2012
  • Firstpage
    4834
  • Lastpage
    4839
  • Abstract
    Recently, many studies dealing with energy saving have been conducted from the viewpoint of mitigating global warming. However, most of them only consider energy saving and ignore the total environmental impact. It is necessary to provide a comfortable work space using efficient and optimized energy control, because excessive demand control can have a negative impact on the environment. It can also have a negative impact on working or learning efficiency. To provide a comfortable indoor environment, it is important to measure environmental indexes, including not only temperature, humidity, illuminance, and wind speed, but also CO2 concentration. Moreover, to forecast air conditioner demand, it is important to know the number of people in the controlled space. In this paper, we propose a new method to estimate the number of people in a ventilation-controlled environment by using a CO2 sensor. The proposed method will provide a demand control system that achieves more intelligent and accurate control of ventilation fans.
  • Keywords
    air conditioning; carbon compounds; climate mitigation; energy conservation; gas sensors; global warming; intelligent control; power control; ventilation; CO2; air conditioner demand forecasting; comfortable indoor environment; concentration sensor; demand control system; energy saving; environmental indexes measurement; global warming mitigation; intelligent control; learning efficiency; optimized energy control; ventilation fans control; ventilation-controlled environment; wind speed; Estimation; Monitoring; Servers; Space heating; Time measurement; Universal Serial Bus; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Montreal, QC
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4673-2419-9
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2012.6388997
  • Filename
    6388997