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Fontugne, Romain and Ortiz, Jorge and Tremblay, Nicolas and Borgnat, Pierre and Flandrin, Patrick and Fukuda, Kensuke and Culler, David and Esaki, Hiroshi (2013) Strip, bind, and search: a method for identifying abnormal energy consumption in buildings. In: IPSN '13 Proceedings of the 12th international conference on Information processing in sensor networks , New York.

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Official URL: http://dl.acm.org/citation.cfm?id=2461399

Abstract

A typical large building contains thousands of sensors, monitoring the HVAC system, lighting, and other operational sub-systems. With the increased push for operational efficiency, operators are relying more on historical data processing to uncover opportunities for energy-savings. However, they are overwhelmed with the deluge of data and seek more efficient ways to identify potential problems. In this paper, we present a new approach called the Strip, Bind and Search (SBS); a method for uncovering abnormal equipment behavior and in-concert usage patterns. SBS uncovers relationships between devices and constructs a model for their usage pattern relative to other devices. It then flags deviations from the model. We run SBS on a set of building sensor traces; each containing hundred sensors reporting data flows over 18 weeks from two separate buildings with fundamentally different infrastructures. We demonstrate that, in many cases, SBS uncovers misbehavior corresponding to inefficient device usage that leads to energy waste. The average waste uncovered is as high as 2500~kWh per device.

Item Type: Conference or Workshop Item (Paper)
Subjects: English > Monitoring
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Depositing User: Universitetsadjunkt Susanna Carlsten
Date Deposited: 30 Oct 2013 15:19
Last Modified: 04 Apr 2017 09:24
URI: http://eprints.sparaochbevara.se/id/eprint/727

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