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    Item type:Publication, Access status: with files ,
    Modellbasierte prädiktive Regelung komplexer gebäudetechnischer Anlagen zur Optimierung der Energieeffizienz und des Komforts
    (2023)
    Freund, Svenne
    ;
    Schmitz, Gerhard
    The building sector is responsible for about a quarter of the CO₂ emissions in Germany, and a transformation towards an energy-efficient building stock is an essential keystone for climate protection. In this thesis, a model predictive control strategy is developed and implemented in an office building with the aim of optimizing the energy efficiency and thermal comfort of the building. The metrological evaluation of the control strategy shows that 10 to 30 % heating energy savings can be realized compared to the conventional control strategy, while thermal comfort can be improved at the same time.
    Publicationtype: Doctoral Thesis
      254  2128
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    Item type:Publication, Access status: without files ,
    Development of a Framework for Model Predictive Control (MPC) in a Large-Sized Low-Energy Office Building Using Modelica Grey-Box Models
    (2019-09)
    Freund, Svenne
    ;
    Schmitz, Gerhard
    Model redictive control (MPC) is investigated in a large-sized, low-energy office building. This paper is a first step for implementing MPC in the building and identifies the possible outcomes in energy savings and thermal comfort simulation-based. A framework for parameter identification and optimal control has been developed. Unlike the majority of MPC studies, this study uses grey-box models which are implemented in Modelica which has several advantages. The simulation results suggest an improved comfort level by reducing the occurrence of high temperature peaks and less fluctuating indoor air temperatures. The obtained savings in used heat energy are about 12% compared to conventional control.
    Publicationtype: Conference Paper
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