TY - GEN
T1 - Experiences with sensors for energy efficiency in commercial buildings
AU - Kusy, Branislav
AU - Rana, Rajib
AU - Valencia, Phil
AU - Jurdak, Raja
AU - Wall, Josh
PY - 2014
Y1 - 2014
N2 - Buildings are amongst the largest consumers of electrical energy in developed countries. Building efficiency can be improved by adapting building systems to a change in the environment or user context. Appropriate action, however, can only be taken if the building control system has access to reliable real-time data. Sensors providing this data need to be ubiquitous, accurate, have low maintenance cost, and should not violate privacy of building occupants. We conducted a 3 year study in a mid-size office space with 15 offices and 25 people. Specifically, we focused on sensing modalities that can help improve energy efficiency of buildings. We have deployed 25 indoor climate sensor nodes and 41 wireless power meters, submetered 12 electric loads in circuit breaker boxes, logged data from our building control system and tracked activity on 40 desktop computers. We summarize our experiences with the cost, data yields, and user privacy concerns of the different sensing modalities and evaluate their accuracy using ground-truth experiments.
AB - Buildings are amongst the largest consumers of electrical energy in developed countries. Building efficiency can be improved by adapting building systems to a change in the environment or user context. Appropriate action, however, can only be taken if the building control system has access to reliable real-time data. Sensors providing this data need to be ubiquitous, accurate, have low maintenance cost, and should not violate privacy of building occupants. We conducted a 3 year study in a mid-size office space with 15 offices and 25 people. Specifically, we focused on sensing modalities that can help improve energy efficiency of buildings. We have deployed 25 indoor climate sensor nodes and 41 wireless power meters, submetered 12 electric loads in circuit breaker boxes, logged data from our building control system and tracked activity on 40 desktop computers. We summarize our experiences with the cost, data yields, and user privacy concerns of the different sensing modalities and evaluate their accuracy using ground-truth experiments.
UR - http://www.scopus.com/inward/record.url?scp=84958533433&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-03071-5_23
DO - 10.1007/978-3-319-03071-5_23
M3 - Conference proceeding contribution
AN - SCOPUS:84958533433
SN - 9783319030708
T3 - Lecture notes in electrical engineering
SP - 231
EP - 243
BT - Real-World Wireless Sensor Networks
A2 - Langendoen, Koen
A2 - Hu, Wen
A2 - Ferrari, Federico
A2 - Zimmerling, Marco
A2 - Mottola, Luca
PB - Springer, Springer Nature
CY - Cham, Switzerland
T2 - 5th International Workshop on Real-World Wireless Sensor Networks, REALWSN 2013
Y2 - 19 September 2013 through 20 September 2013
ER -