Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Development of a Framework for Model Predictive Control (MPC) in a Large-Sized Low-Energy Office Building Using Modelica Grey-Box Models
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.
Development of a Framework for Model Predictive Control (MPC) in a Large-Sized Low-Energy Office Building Using Modelica Grey-Box Models
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.
Development of a Framework for Model Predictive Control (MPC) in a Large-Sized Low-Energy Office Building Using Modelica Grey-Box Models
Freund, Svenne (Autor:in) / Schmitz, Gerhard (Autor:in)
01.09.2019
2-s2.0-85105336829
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
DDC:
000
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