Development of a Framework for Model Predictive Control (MPC) in a Large-Sized Low-Energy Office Building Using Modelica Grey-Box Models

Freund, SvenneSvenneFreundSchmitz, GerhardGerhardSchmitz2020-01-272020-01-272019-0916th International Conference of the International Building Performance Simulation Association, Building Simulation 2019: 2864-2871978-1-7138-0941-8978-1-7750520-1-2http://hdl.handle.net/11420/4593Model 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.enAllgemeines, WissenschaftDevelopment of a Framework for Model Predictive Control (MPC) in a Large-Sized Low-Energy Office Building Using Modelica Grey-Box ModelsConference Paper10.26868/25222708.2019.210443http://www.ibpsa.org/building-simulation-2019Conference Paper