Enabling Energy-Aware Smart Facilities

This project seeks to identify ways to inexpensively provide appliance-specific information about energy consumption in buildings and facilitate conservation. Signal processing, machine learning, and data fusion techniques have been developed to extract actionable information from whole-building power meters and other available sensors.

Publications: [ASCE Workshop 2009], [ICCCBE 2008], [EG-ICE 2008]

Videos: [Feb. 2009]

Sensor Andrew

Sensor Andrew is an experiment on the interoperability and semantic capabilities of cyber-physical systems. It is a collection of hardware and software elements that together form a virtual instrument for large-scale sensing and actuation, intended to help deliver sensor-driven decision support for our built environment. The Sensor Andrew infrastructure enables researchers to easily tap into an Internet-scale resource of sensors and actuators in a manner that is extensible, easy-to-use, and secure while maintaining privacy.

Publications: [IPSN 2009], [Technical Report 2008]

Presentations: Dec. 2010 [Video] [Slides]

Power and Environmental Monitoring Systems for Academic Buildings

In this project we designed, implemented and deployed a monitoring system for measuring the power consumption of two separate wings (~4,700 sq. feet) of an academic building with the intention of providing real-time room-level feedback to the building's occupants and promote conservation. Environmental sensors were also deployed and used to provide temperature and humidity values for the spaces being monitored.

Poster: [CenSCIR Symposium 2008]