Varick Erickson, Miguel A. Carreira-Perpinan, Alberto E. Cerpa
Heating, cooling and ventilation accounts for 35% energy usage in the United States. Currently, most modern buildings still condition rooms assuming maximum occupancy rather than actual usage. As a result, rooms are often over-conditioned needlessly. Thus, in order to achieve efficient conditioning, we require knowledge of occupancy. This paper shows how real time occupancy data from a wireless sensor network can be used to create occupancy models which in turn can be integrated into building conditioning system for usage based demand control conditioning strategies. Using strategies based on sensor network occupancy model predictions, we show that it is possible to achieve 42% annual energy savings while still maintaining American Society of Heating, Refrigerating and Air-Conditioning (ASHRAE) comfort standards.
Varick Erickson, Miguel A. Carreira-Perpinan, Alberto E. Cerpa, "OBSERVE: Occupancy-based system for efficient reduction of HVAC energy," Proceedings of the Tenth ACM/IEEE International Conference on Information Processing on Sensor Networks (IPSN 2011), pp. 258--269, ACM/IEEE, Chicago, IL, USA, April, 2011.
@Conference{Erickson11a,
author = "Varick Erickson and Miguel A. Carreira-Perpinan and
Alberto E. Cerpa",
booktitle = "Proceedings of the Tenth ACM/IEEE International
Conference on Information Processing on Sensor Networks
(IPSN 2011)",
title = "{OBSERVE}: Occupancy-based system for efficient
reduction of {HVAC} energy",
year = "2011",
month = apr,
pages = "258--269",
publisher = "ACM/IEEE",
address = "Chicago, IL, USA",
keywords = "ASHRAE comfort standards;HVAC energy;OBSERVE;building
conditioning system;energy savings;energy
usage;occupancy-based system;real time occupancy
data;usage based demand control conditioning
strategies;wireless sensor network occupancy model
predictions;HVAC;wireless sensor networks;",
URL = "http://www.andes.ucmerced.edu/papers/Erickson11a.pdf",
accept = "20",
cited = "49",
}