Paper Conference

Proceedings of eSim 2020: 11th Conference of IBPSA-Canada


Energy flexible building: predictive load management of passive and active energy storage under a Demand Response Program

Jennifer Date 1, Jose Candanedo 1,2, Andreas Athienitis 1, Karine Lavigne 3
1 Department of Building, Civil and Environmental Engineering, Concordia University, Canada
2 Natural Resources Canada - CanmetENERGY, Varennes, Quebec
3 Laboratoire des technologies de l'energie, Shawinigan, Quebec

Abstract: Utility rates for business customers in Quebec include fees for power demand and energy consumption. Therefore, it is in the customer’s interest to reduce consumption while properly managing demand. Customers can enroll in a Demand Response (DR) Program to get financial assistance for reducing the demand of their building(s) during winter peak times. A notification is sent to the customer one day before a DR event and the customer can alter their operation to reduce their peak demand during the event hours. Technologies such as Electric Thermal Storage (ETS) can assist in building heating load management. The device stores energy during off-peak periods to meet future on-peak heating loads. Combining the buildings thermal storage with the devices storage, reductions in heating demand compared to a reference scenario are achieved. Calibrated resistancecapacitance models are used to study heating load flexibility and management to reduce bills and participate in DR programs. The presented study shows that implementing model predictive control (MPC) with dedicated thermal storage can give energy flexibility to the grid during critical peak events. For example, with a notification is given to the customer from the utility 12 hours ahead of a 6AM event, the peak demand during the critical event hours can be reduced by 29 kW (62%) up to 36 kW (78%), depending on the utility rate structure. It was found that a dynamic rate structure is more successful in reducing the peak demand, while a greater reduction of energy consumption on a 24 hour period is seen with a rate structure with a peak demand charge.