Summary: Model Predictive Control of building energy systems are very well developed and understood advanced techniques for control, optimization and intelligent HVAC operation. The model of the building and the capacity to simulate future scenarios is the main strength of this approach. We review the existing landscape of software tools, techniques, and the practicalities of implementing such systems and interfacing with existing SCADA and BMS hardware and software in place. Data acquisition is a crucial part of the system as many existing buildings lack sufficient information and data to construct the needed models. Different key case studies will illustrate successful MPC implementations.

References:
# https://doi.org/10.1016/j.arcontrol.2020.09.001
# https://doi.org/10.1016/j.rser.2021.110835
# https://doi.org/10.1016/j.jobe.2020.101692
# https://doi.org/10.1016/j.buildenv.2022.109053