TY - GEN
T1 - Estimation of the number of people under controlled ventilation using a CO2 concentration sensor
AU - Ito, Seiya
AU - Nishi, Hiroaki
PY - 2012/12/1
Y1 - 2012/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84872916247&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872916247&partnerID=8YFLogxK
U2 - 10.1109/IECON.2012.6388997
DO - 10.1109/IECON.2012.6388997
M3 - Conference contribution
AN - SCOPUS:84872916247
SN - 9781467324212
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 4834
EP - 4839
BT - Proceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
T2 - 38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012
Y2 - 25 October 2012 through 28 October 2012
ER -