TY - GEN
T1 - Cooperative distributed demand control by environmental sensor network estimating the number of people by co2 concentration
AU - Tachikawa, Tomokazu
AU - Oda, Akihiro
AU - Handa, Toshihiko
AU - Ichimura, Junichi
AU - Watanabe, Yuji
AU - Nishi, Hiroaki
PY - 2008/10/31
Y1 - 2008/10/31
N2 - KNIVES is a system for providing balanced power supply and effective demand control. This system controls the power of electric devices over the Internet, due to reduce total power consumption. For the control, KNIVES also considers indoor environmental affinity by using environmental sensors. In this paper, CO2 sensor is implemented on KNIVES terminal and it enables to measure CO2 concentration for assessing indoor vitiation. This paper verifies the effectiveness of this sensor by estimating the number of people. Also, the number of people is one of the parameter for effective control. Existing estimating method for counting the number of people, however, is difficult to install in a existing building. This paper describes the new estimating method for the number of people by CO2 concentration. As a result, this method can accomplish accurate measurement, and it can be applied to various applications for a future demand control.
AB - KNIVES is a system for providing balanced power supply and effective demand control. This system controls the power of electric devices over the Internet, due to reduce total power consumption. For the control, KNIVES also considers indoor environmental affinity by using environmental sensors. In this paper, CO2 sensor is implemented on KNIVES terminal and it enables to measure CO2 concentration for assessing indoor vitiation. This paper verifies the effectiveness of this sensor by estimating the number of people. Also, the number of people is one of the parameter for effective control. Existing estimating method for counting the number of people, however, is difficult to install in a existing building. This paper describes the new estimating method for the number of people by CO2 concentration. As a result, this method can accomplish accurate measurement, and it can be applied to various applications for a future demand control.
UR - http://www.scopus.com/inward/record.url?scp=54849437090&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=54849437090&partnerID=8YFLogxK
U2 - 10.1109/INDIN.2008.4618119
DO - 10.1109/INDIN.2008.4618119
M3 - Conference contribution
AN - SCOPUS:54849437090
SN - 9781424421718
T3 - IEEE International Conference on Industrial Informatics (INDIN)
SP - 336
EP - 341
BT - Proceedings - IEEE INDIN 2008
T2 - IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics
Y2 - 13 July 2008 through 16 July 2008
ER -