Paper Conference

Proceedings of Building Simulation 2017: 15th Conference of IBPSA

     

Predictive Setpoint Optimization of a Commercial Building Subject to a Winter Demand Penalty Affecting 12 Months of Utility Bills

Jennifer Date1, José A. Candanedo2, Andreas K. Athienitis1, Karine Lavigne 3
1 Department of Building, Civil Environmental Engineering, Concordia University, Montreal, Canada
2 Natural Resources Canada - CanmetENERGY, Varennes, Quebec
3 Laboratoire des technologies de l'énergie, Shawinigan, QC, Canada, Quebec


DOI: https://doi.org/10.26868/25222708.2017.602
Abstract: This paper discusses the implementation of model predictive control (MPC) in a small commercial building in a heating dominated climate. The goal of this study is to investigate the potential of MPC for lowering electricity bills in commercial buildings under the typical rates applied in Québec, which include a demand charge that heavily penalizes winter peaks. Two slightly different cost functions target the minimization of the utility rate during each prediction horizon while meeting upper and lower indoor temperature constraints. A parametric study indicated that despite minor differences all studied MPC scenarios result in significant reductions in both yearly utility bills and peak power demand.
Pages: 2209 - 2216
Paper:
BS2017_602