TY  - CONF
AU  - Mork, Maximilian
AU  - Xhonneux, André
AU  - Müller, Dirk
TI  - Hierarchical Model Predictive Control for Complex Building Energy Systems
M1  - FZJ-2021-01743
SP  - 100-107
PY  - 2020
AB  - In this paper, a hierarchical Modelica-based Model Predictive Control (MPC) is presented in order to control complex building energy systems with different dynamics. The hierarchical MPC concept tackles the problem of controlling buildings with slow dynamics such as thermally activated building systems (TABS) and fast actuators such as air handling units (AHUs). It further addresses prediction errors of system disturbances (e.g. weather, occupancy) and ensures anticipation, reactivity and real-time capability. The benefits compared to single MPC, Rule-Based-Control (RBC) and Proportional-Integrative-Derivative (PID) strategies are demonstrated in simulations on Modelica models including detailed models for solar shading and visual comfort.
T2  - 8th Conference of IBPSA Germany and Austria
CY  - 22 Sep 2020 - 25 Sep 2020, Graz (Austria)
Y2  - 22 Sep 2020 - 25 Sep 2020
M2  - Graz, Austria
LB  - PUB:(DE-HGF)8
UR  - https://juser.fz-juelich.de/record/891818
ER  -