Real-time Energy Analytics for Distributed Facilities

New meters, sensors and other field data collection devices are providing a plethora of real time system operational data for building, industrial plants and production systems. At the same time, building owners, industrial plant owners and campus based operations are being challenged with managing their energy use both through conservation and demand management processes. In many jurisdictions the cost of energy is skyrocketing due to massive increases in demand. To manage demand, real-time technologies are required to decrease consumption and to level the demand throughout the day, week, month and year. This research project focuses on developing and demonstrating new techniques and technologies to manage the collection and analysis of large machine and meter based data sets as part of an integrated energy management system. This project will position Fuseforward to remain a thought and technology leader with respect to real-time performance analytics.

Intern: 
Ouldooz Baghban Karimi, Hasen Nicanfar & Denish Mumbaiwala
Faculty Supervisor: 
Drs. Jiangchuan Liu, Victor Leung & Jernej Planjnar
Province: 
British Columbia
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