TY - GEN
T1 - Fault detection and diagnosis for smart buildings
T2 - 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016
AU - Lazarova-Molnar, Sanja
AU - Shaker, Hamid Reza
AU - Mohamed, Nader
AU - Jorgensen, Bo Norregaard
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/4/26
Y1 - 2016/4/26
N2 - Worldwide, buildings account for ca. 40% of the total energy consumption and ca. 20% of the total CO2 emissions. While most of the energy goes into primary building use, a significant amount of energy is wasted due to malfunctioning building system equipment and wrongly configured Building Management Systems (BMS). For example, wrongly configured setpoints or building equipment, or misplaced sensors and actuators, can contribute to deviations of the real energy consumption from the predicted one. Our paper is motivated by these posed challenges and aims at pinpointing the types of problems in the BMS components that can affect the energy efficiency of a building, as well as review the methods that can be utilized for their discovery and diagnosis. The goal of the paper is to highlight the challenges that lie in this problem domain, as well as provide a strategy how to counterfeit them.
AB - Worldwide, buildings account for ca. 40% of the total energy consumption and ca. 20% of the total CO2 emissions. While most of the energy goes into primary building use, a significant amount of energy is wasted due to malfunctioning building system equipment and wrongly configured Building Management Systems (BMS). For example, wrongly configured setpoints or building equipment, or misplaced sensors and actuators, can contribute to deviations of the real energy consumption from the predicted one. Our paper is motivated by these posed challenges and aims at pinpointing the types of problems in the BMS components that can affect the energy efficiency of a building, as well as review the methods that can be utilized for their discovery and diagnosis. The goal of the paper is to highlight the challenges that lie in this problem domain, as well as provide a strategy how to counterfeit them.
KW - challenges
KW - diagnosis
KW - review
KW - smart buildings
KW - strategy
UR - http://www.scopus.com/inward/record.url?scp=84973541018&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973541018&partnerID=8YFLogxK
U2 - 10.1109/ICBDSC.2016.7460392
DO - 10.1109/ICBDSC.2016.7460392
M3 - Conference contribution
AN - SCOPUS:84973541018
T3 - 2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016
SP - 344
EP - 350
BT - 2016 3rd MEC International Conference on Big Data and Smart City, ICBDSC 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 March 2016 through 16 March 2016
ER -