Review article
Modular Hierarchical Model Predictive Control for Coordinated and Holistic Energy Management of Buildings – Battery Storage Considerations
Anita Bunjac
; University of Zagreb, Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, Laboratory for Renewable Energy Systems
Nikola Hure
; University of Zagreb, Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, Laboratory for Renewable Energy Systems
Marko Kaovačević
; University of Zagreb, Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, Laboratory for Renewable Energy Systems
Hrvoje Novak
; University of Zagreb, Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, Laboratory for Renewable Energy Systems
Mario Vašak
; University of Zagreb, Faculty of Electrical Engineering and Computing, Department of Control and Computer Engineering, Laboratory for Renewable Energy Systems
Nedjeljko Perić
; Innovation Centre Nikola Tesla
Abstract
In the paper, a modular building energy management strategy based on a three-level hierarchical model predictive
control is applied to the daily operation scheduling of a full-scale building consisting of 248 offices. Such an approach
provides a holistic energy management strategy and enables significant demand response ancillary services for
buildings as prosumers, while retaining the independence of required expertise in very different building subsystems.
The three-level coordination encompasses building zones, central medium conditioning and a microgrid subsystem.
Compared to rule-based control, detailed realistic simulations for typical days in summer show that the indoor comfort
is substantially improved with a considerable reduction of the overall building operation cost. The analysis also
considers the margin of a battery storage system contribution to the operating costs reduction which underlines the
potential of software-based coordination.
Keywords
Hrčak ID:
270513
URI
Publication date:
12.12.2021.
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