REAL-TIME ESTIMATION OF THE NUMBER OF ELECTRONIC THERMOSTATS
Estimate the number of thermostats in operation from a single power measurement at electric panel
Challenge in residence heating loads monitoring
- In cold-climate regions, heating is an important part of the overall residential electricity consumption.
- Estimating the energy needed to heat a residential building is crucial for thermal performance evaluation.
- Most homes in North America include one or several electric baseboards per room, each room having its own thermostat.
- Electronic thermostats in a residence often have identical electronic signatures; a system is therefore needed to differentiate them.
Estimation of the number of electronic thermostats
- This technology allows the non-intrusive real-time estimation of the number of electronic thermostats in operation in a residence, each thermostat controlling at least one thermal load.
- Present system and method rely on a combination of event analysis and frequency domain analysis.
- Proof of concept tested experimentally.
- Technology developed by Profs. Kodjo Agbossou, Sousso Kelouwani and their team at Université du Québec à Trois-Rivières.
- Estimation of the number of thermostats in operation from a single power measurement at electric panel.
- Non-Intrusive Load Monitoring without any need for sensors.
- Very useful in North America where houses are often heated with electric baseboards.
- Thermal performance evaluation and heating abnormalities detection.
- Can be used to detect the number of any kind of appliances functioning on 2-stage ON-OFF states.
- US patent application 16,441,104
- Technology available for licensing
- Co-development for specific platform implementation
Université du Québec à Trois-Rivières (UQTR)
Kodjo Agbossou, Professor, Electrical and Computer Engineering Department
Prof. Agbossou received the B.S., M.S., and Ph.D. degrees in electronic measurements from the Université de Nancy I, Nancy, France, in 1987, 1989, and 1992, respectively.,He is currently the Head of the Engineering School with the Université du Québec à Trois-Rivières (UQTR), Trois-Rivières, QC, Canada. His current research activities are in the area of renewable energy, integration of hydrogen production, storage and electrical energy generation systems, hybrid electrical vehicles, and control and measurements.
Sousso Kelouwani, Professor, Mechanical Engineering Department
Prof. Kelouwani received the B.S. and M.Sc.A. degrees from the Université du Québec à Trois-Rivières (UQTR), Trois-Rivières, QC, Canada, in 2000 and 2002, respectively, and the Ph.D. degree in automation and systems from École Polytechnique de Montréal, Montréal, QC, Canada, in 2010, all in electrical engineering. He is the holder of the Industrial Research Chair DIVEL in Intelligent Navigation of Autonomous Industrial Vehicles. He is currently a Full Professor of mechatronics with the Department of Mechanical Engineering.