SEMINAR: Building System Modeling and Control for Energy Efficiency and Flexibility
Buildings are becoming more energy efficient by integrating advanced efficiency technologies. For instance, more and more Canadian homes are replacing their furnaces to heat pumps for space heating. Buildings can also be energy flexible through demand response strategies, which can play a significant role for the electric grid to balance its demand and supply.
In this seminar, the concept of energy flexibility from the grid point of view and a methodology to quantify this flexibility will be presented. A calibrated model of a typical Canadian house is used as a case study and results of Key Performance Indicators (KPIs) will be discussed. Model predictive control will also be investigated on how it would influence the KPIs and the results.
PhD Candidate, Polytechnique Montreal in Canada.
Kun Zhang is a PhD candidate from Polytechnique Montreal in Canada. His research focuses on modeling, optimization and model predictive control of building energy systems. During his PhD study, he contributes actively to the IEA EBC Annex 67 project on "Energy Flexible Buildings", and also works closely with Canadian industry partners on cold climate heat pumps and smart thermostat.
Prior to his graduate study, Kun worked in the building industry for three years. He consulted on HVAC system design, LEED and BREEAM compliance, and developed software tools for Energy Performance Certificates for the UK market. He received his M.Sc. degree in Mechanical Engineering from Polytechnique Montreal and B.Eng. degree from Chongqing University in China.