Real-Time Itemized Electricity Consumption Intelligence for DoD Bases
Dr. Omid Jahromi | Belkin International
The objective of this project is to provide the Department of Defense (DoD) with real-time energy consumption information itemized by device. Unlike a conventional electric bill, which only shows total energy consumed, itemized information can drive more efficient energy usage, inform equipment purchase decisions, and help maintain building performance. Itemized energy consumption data also provide measurement and verification for other efficiency initiatives. As the DoD moves towards its energy reduction goals, this high-resolution information about how energy is being used will increase energy efficiency and also provide intelligence about the effectiveness of other efficiency measures.
Belkin’s electricity itemization technology uses a sensor installed at a building’s circuit breaker or meter panel. The sensor detects real-time current changes as well as broadband noise created by devices as they switch on or off or otherwise change state. The power characteristics and noise from each type of device have a unique signature that results from the device’s electrical circuit design. The Belkin sensor captures this signature and uses machine-learning algorithms for analysis to identify usage for each device and the amount of energy consumed. The system can create reports, such as a consumption report that is similar to a credit card or telephone bill, and make data available to other systems for analysis or control.
The location where this project will demonstrate the technology is TBD.
The principal benefit to the DoD will be detailed, precise information regarding electricity use, presented in a manner that can directly translate to energy savings. For instance, base management will be able to provide feedback to energy users about the relative power draw of devices, enabling energy managers and consumers to make informed choices. The update rate and increased detail of energy information will also permit closer tracking of efficiencies of specific buildings and activities. The team expects to identify opportunities for at least a 10% reduction in electricity use in the buildings in which the technology is deployed, valued at approximately $1400 per year per typical building. (Anticipated Project Completion - 2016)