TY  - JOUR
AU  - Mork, Maximilian
AU  - Xhonneux, André
AU  - Müller, Dirk
TI  - Hierarchical Model Predictive Control for Complex Building Energy Systems
JO  - Bauphysik
VL  - 42
IS  - 6
SN  - 0171-5445
CY  - Berlin
PB  - Ernst
M1  - FZJ-2021-01744
SP  - 306-314
PY  - 2020
N1  - Kein Zugriff auf Post-print
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.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000598622300006
DO  - DOI:10.1002/bapi.202000031
UR  - https://juser.fz-juelich.de/record/891819
ER  -