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| 001 | 891818 | ||
| 005 | 20240709082226.0 | ||
| 037 | _ | _ | |a FZJ-2021-01743 |
| 100 | 1 | _ | |a Mork, Maximilian |0 P:(DE-Juel1)174440 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a 8th Conference of IBPSA Germany and Austria |g BauSim 2020 |c Graz |d 2020-09-22 - 2020-09-25 |w Austria |
| 245 | _ | _ | |a Hierarchical Model Predictive Control for Complex Building Energy Systems |
| 260 | _ | _ | |c 2020 |
| 300 | _ | _ | |a 100-107 |
| 336 | 7 | _ | |a CONFERENCE_PAPER |2 ORCID |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Conference Paper |2 DataCite |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1618822894_5314 |2 PUB:(DE-HGF) |
| 520 | _ | _ | |a In 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. |
| 536 | _ | _ | |a 153 - Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security (POF3-153) |0 G:(DE-HGF)POF3-153 |c POF3-153 |f POF III |x 0 |
| 700 | 1 | _ | |a Xhonneux, André |0 P:(DE-Juel1)8457 |b 1 |
| 700 | 1 | _ | |a Müller, Dirk |0 P:(DE-Juel1)172026 |b 2 |
| 909 | C | O | |o oai:juser.fz-juelich.de:891818 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)174440 |
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| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)172026 |
| 913 | 0 | _ | |a DE-HGF |b Energie |l Technologie, Innovation und Gesellschaft |1 G:(DE-HGF)POF3-150 |0 G:(DE-HGF)POF3-153 |3 G:(DE-HGF)POF3 |2 G:(DE-HGF)POF3-100 |4 G:(DE-HGF)POF |v Assessment of Energy Systems – Addressing Issues of Energy Efficiency and Energy Security |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Energie |l Energiesystemdesign (ESD) |1 G:(DE-HGF)POF4-110 |0 G:(DE-HGF)POF4-112 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-100 |4 G:(DE-HGF)POF |v Digitalisierung und Systemtechnik |9 G:(DE-HGF)POF4-1121 |x 0 |
| 914 | 1 | _ | |y 2021 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IEK-10-20170217 |k IEK-10 |l Modellierung von Energiesystemen |x 0 |
| 980 | _ | _ | |a contrib |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)IEK-10-20170217 |
| 980 | _ | _ | |a UNRESTRICTED |
| 981 | _ | _ | |a I:(DE-Juel1)ICE-1-20170217 |
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