Paper Conference

Proceedings of eSim 2016: 9th Conference of IBPSA-Canada


Using building simulation software to quantify the savings of a model predictive control implementation

Trent Hilliard, Lukas Swan, Miroslava Kavgic, Zheng Qin, Simon DeWolf

Abstract: Verifying the performance gains of a building installed upgrade (such as a change in control logic) is an important and challenging task. This paper discusses a methodology to develop and validate a model predictive control (MPC) algorithm employed on a real test building using EnergyPlus and the Building Controls Virtual Test Bed (BCVTB). The process is detailed from the development of an initial calibrated energy model from historical consumption data, through the implementation of the new controls to the building. This is followed by a proposed recalibration and comparison of energy results between the new control strategy and the previous rule-based control designed for the building. They are done using the same weather data to validate the performance gains of the new control strategy.
Pages: 733 - 741