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@INPROCEEDINGS{Mork:891818,
      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},
      reportid     = {FZJ-2021-01743},
      pages        = {100-107},
      year         = {2020},
      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.},
      month         = {Sep},
      date          = {2020-09-22},
      organization  = {8th Conference of IBPSA Germany and
                       Austria, Graz (Austria), 22 Sep 2020 -
                       25 Sep 2020},
      cin          = {IEK-10},
      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)8},
      url          = {https://juser.fz-juelich.de/record/891818},
}