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B. Mayer, M. Killian, M. Kozek:
"Modular Model Predictive Control Concept for Building Energy Supply Systems: Simulation Results for a Large Office Building";
Talk: The 9th Eurosim Congress on Modelling and Simulation, Oulu, Finland; 2016-09-12 - 2016-09-16; in: "9th EUROSIM Congress on Modelling and Simulation", (2016), 1 - 6.

The management of modern large buildings´ energy
supply systems (ESS) demands the maximal usage of renewable
energy sources at minimum energy costs while meeting the energy
demand of the consumption zone. Building ESS for heating and
cooling usually consist of various supply circuits with several
energy sources and different physical characteristics, possibly
incorporating switching aggregates (heat pump, chiller) with
latency times and stratified storage which change their operating
state in a discontinuous fashion. Hence, these circuits can be
seen as hybrid systems whose modelling as well as optimisation
are demanding. Model predictive controllers (MPC) are an
effective means for the optimisation of such problem formulations
with divergent goals. The proposed modular predictive control
concept (MPCC) is designed for a flexible usage in ESS building
automation adding one appropriate MPC for each supply circuit
including mixed-integerMPCs to the individual building´s control
structure. The resulting MPCC is capable of maximising the
usage of renewable energy sources at minimum cost as well as
efficiently managing switching aggregates with active storage.
Suitable modelling of the linear and hybrid systems is demonstrated
and validated on the example of a large office building in
Austria. Furthermore, a simulation study shows the performance
of the resultingMPC concept compared to a rule-based controller.