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
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