Abstract

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. The current techniques used for fault detection fail to detect large number of efficiency related faults. 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 demonstrate faults using data driven analysis.

Bibtex

@inproceedings{Zhang:2014:BFM:2674061.2675034,
    author = "Zhang, Rizhen and Balaji, Bharathan and Zhang, Yan and Narayanaswamy, Balakrishnan and Agarwal, Yuvraj",
    title = "BuildingSherlock: Fault Management Framework for HVAC Systems: Demo Abstract",
    pages = "202--203",
    year = "2014",
    booktitle = "Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings",
    doi = "10.1145/2674061.2675034"
}

Plain Text

Rizhen Zhang, Bharathan Balaji, Yan Zhang, Balakrishnan Narayanaswamy, and Yuvraj Agarwal. Buildingsherlock: fault management framework for hvac systems: demo abstract. In Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, 202–203. 2014. doi:10.1145/2674061.2675034.