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000891819 041__ $$aEnglish
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000891819 1001_ $$0P:(DE-Juel1)174440$$aMork, Maximilian$$b0$$eCorresponding author$$ufzj
000891819 245__ $$aHierarchical Model Predictive Control for Complex Building Energy Systems
000891819 260__ $$aBerlin$$bErnst$$c2020
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000891819 520__ $$aIn this paper, a hierarchical Modelica-based Model Predictive Control (MPC) is presented in order to control complex building energy systems with different dynamics. The hierarchical MPC concept tackles the problem of controlling buildings with slow dynamics such as thermally activated building systems (TABS) and fast actuators such as air handling units (AHUs). It further addresses prediction errors of system disturbances (e.g. weather, occupancy) and ensures anticipation, reactivity and real-time capability. The benefits compared to single MPC, Rule-Based-Control (RBC) and Proportional-Integrative-Derivative (PID) strategies are demonstrated in simulations on Modelica models including detailed models for solar shading and visual comfort.
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000891819 7001_ $$0P:(DE-Juel1)8457$$aXhonneux, André$$b1$$ufzj
000891819 7001_ $$0P:(DE-Juel1)172026$$aMüller, Dirk$$b2$$ufzj
000891819 773__ $$0PERI:(DE-600)2151235-8$$a10.1002/bapi.202000031$$gVol. 42, no. 6, p. 306 - 314$$n6$$p306-314$$tBauphysik$$v42$$x0171-5445$$y2020
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