Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | Modular Model Predictive Control Concept for Building Energy Supply Systems: Simulation Results for a Large Office Building Linköping University Electronic Press Conference Proceedings
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Title:
Modular Model Predictive Control Concept for Building Energy Supply Systems: Simulation Results for a Large Office Building
Author:
Barbara Mayer: Institute of Industrial Management,FH Joanneum, Austria Michaela Killian: Institute of Mechanics and Mechatronics, Vienna University of Technology, Austria Martin Kozek: Institute of Mechanics and Mechatronics, Vienna University of Technology, Austria
DOI:
10.3384/ecp1714262
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
009
Pages:
62-69
No. of pages:
8
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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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 strati?ed 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 ?exible usage in ESS building automation adding one appropriate MPC for each supply circuit including mixed-integer MPCs to the individual building’s control structure. The resulting MPCC is capable of maximizing the usage of renewable energy sources at minimum cost as well as ef?ciently managing switching aggregates with active storage. Suitable modelling of the linear and hybrid systems is demonstrated and validated on the example of a large of?ce building in Austria. Furthermore, a simulation study shows the performance of the resulting MPC concept compared to a rule-based controller.

Keywords: building energy supply system, model predictive control

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Barbara Mayer, Michaela Killian, Martin Kozek
Title:
Modular Model Predictive Control Concept for Building Energy Supply Systems: Simulation Results for a Large Office Building
DOI:
http://dx.doi.org/10.3384/ecp1714262
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Barbara Mayer, Michaela Killian, Martin Kozek
Title:
Modular Model Predictive Control Concept for Building Energy Supply Systems: Simulation Results for a Large Office Building
DOI:
https://doi.org10.3384/ecp1714262
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