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@ARTICLE{Mork:891819,
author = {Mork, Maximilian and Xhonneux, André and Müller, Dirk},
title = {{H}ierarchical {M}odel {P}redictive {C}ontrol for {C}omplex
{B}uilding {E}nergy {S}ystems},
journal = {Bauphysik},
volume = {42},
number = {6},
issn = {0171-5445},
address = {Berlin},
publisher = {Ernst},
reportid = {FZJ-2021-01744},
pages = {306-314},
year = {2020},
note = {Kein Zugriff auf Post-print},
abstract = {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.},
cin = {IEK-10},
ddc = {690},
cid = {I:(DE-Juel1)IEK-10-20170217},
pnm = {153 - Assessment of Energy Systems – Addressing Issues of
Energy Efficiency and Energy Security (POF3-153)},
pid = {G:(DE-HGF)POF3-153},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000598622300006},
doi = {10.1002/bapi.202000031},
url = {https://juser.fz-juelich.de/record/891819},
}