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@INPROCEEDINGS{Mork:1030955,
      author       = {Mork, Maximilian and Ubachukwu, Eziama and Benz, Jakob and
                      Althaus, Philipp and Xhonneux, André and Müller, Dirk},
      title        = {{ALICE}2{M}odelica - {A}utomated {B}uilding {M}odel
                      {G}eneration for {B}uilding {C}ontrol and {S}imulation},
      reportid     = {FZJ-2024-05537},
      pages        = {1-7},
      year         = {2024},
      abstract     = {The fast and user-friendly generation of controller models
                      is a crucial prerequisite for the widespread implementation
                      and scalability of Model Predictive Control (MPC) for
                      buildings. Apart from this, these models can be employed for
                      evaluating other more and more relevant characteristics of
                      buildings, for example, energy-saving potentials in user
                      behavior or the building’s flexibility potential to reduce
                      or shift loads. In this work, the ALICE2Modelica toolchain
                      is presented, which enables the automated and scalable
                      generation of building models for use in Modelica-based
                      building control and simulation. The toolchain is based on
                      the developed mini-language ALICE, which constitutes a
                      straightforward approach to describe geometrical information
                      of the envelope of rooms. Based on ALICE files, floor plans
                      in SVG format, and parametrizable Modelica room templates,
                      the toolchain automatically generates Modelica room and
                      building models including Heating, Ventilation and Air
                      Conditioning (HVAC) systems. Therefore, it is suitable for
                      the modeling of large-scale multi-zone buildings. In a case
                      study, based on an existing parameter estimation module and
                      data from building operation, selected parameters of the
                      toolchain-generated Modelica models are calibrated and user
                      behavior is evaluated for an office building with respect to
                      energy efficiency and energy-saving potentials.},
      month         = {Sep},
      date          = {2024-09-03},
      organization  = {2024 Open Source Modelling and
                       Simulation of Energy Systems, Vienna
                       (Austria), 3 Sep 2024 - 4 Sep 2024},
      cin          = {ICE-1},
      cid          = {I:(DE-Juel1)ICE-1-20170217},
      pnm          = {1121 - Digitalization and Systems Technology for
                      Flexibility Solutions (POF4-112) / 1123 - Smart Areas and
                      Research Platforms (POF4-112) / EnOB: LLEC: Living Lab
                      Energy Campus (03ET1551A) / LLEC - Living Lab Energy Campus
                      (LLEC-2018-2023) / FunSNM - Fundamental principles of Sensor
                      Network Metrology (22DIT02)},
      pid          = {G:(DE-HGF)POF4-1121 / G:(DE-HGF)POF4-1123 /
                      G:(BMWi)03ET1551A / G:(DE-HGF)LLEC-2018-2023 /
                      G:(EURAMET)22DIT02},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.34734/FZJ-2024-05537},
      url          = {https://juser.fz-juelich.de/record/1030955},
}