The University as an Energy Laboratory: Design and Implementation of an Energy Disaggregation System
Fall 2013 - Spring 2014
An aggregate power signal (such as the one read by building utility meters) may be decomposed into its constituent devices such as refrigerators, computers, televisions, etc. This project team designed and implemented an energy disaggregation system to establish Duke University as a learning laboratory for energy consumptive behavior and smart meter potential. The team partnered with Duke’s Facilities Management Department in both acquiring data for developing and testing energy disaggregation algorithms as well as analyzing those data in order to provide device-level insight to identify new energy- and cost-reduction strategies.
Location: Duke Facilities
Kenneth Morton, Richard Newell, Steven Palumbo, Nicholas Czarnek, Ian Kelly, Abhishek Balakrishnan, Samuel Bursten, Amy Wang
Kyle Bradbury, Leslie Collins, Timothy Johnson
Facilities Management Department
Buildings, cost reduction, data analysis, Energy, energy disaggregation system, Energy Efficiency, Research