BuildingSherlock: Fault Management Framework for HVAC Systems in Commercial Buildings

Hidetoshi Teraoka, Bharathan Balaji, Rizhen Zhang, Anthony Nwokafor, Balakrishnan Narayanaswamy and Yuvraj Agarwal
CS2014-1007
September 9, 2014

HVAC systems constitute  40% of energy in commercial buildings, and faults in HVAC account for 5% to 20% of its energy consumption. Typically, HVAC in modern buildings are managed using Building Managing Systems (BMS), and fault detection is one of the essential services provided by BMS to keep HVAC operational. We study the fault management practices followed in real commercial buildings, and find that current techniques used for fault detection fail to detect large number of efficiency related faults. Based on our findings, we developed BuildingSherlock (BDSherlock), which is a web service based fault management framework that exposes building information to automatically detect faults using useful algorithms. We deploy BDSherlock in a 145000 sqft building at UC San Diego, successfully detected 87 faults using data driven analysis.


How to view this document


The authors of these documents have submitted their reports to this technical report series for the purpose of non-commercial dissemination of scientific work. The reports are copyrighted by the authors, and their existence in electronic format does not imply that the authors have relinquished any rights. You may copy a report for scholarly, non-commercial purposes, such as research or instruction, provided that you agree to respect the author's copyright. For information concerning the use of this document for other than research or instructional purposes, contact the authors. Other information concerning this technical report series can be obtained from the Computer Science and Engineering Department at the University of California at San Diego, techreports@cs.ucsd.edu.


[ Search ]


NCSTRL
This server operates at UCSD Computer Science and Engineering.
Send email to webmaster@cs.ucsd.edu