Hierarchical Model Predictive Control for Sustainable Building Automation

Barbara Mayer, Michaela Killian and Martin Kozek
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Barbara Mayer: Institute of Industrial Management, FH JOANNEUM, Alte Poststraße 149, 8020 Graz, Austria
Michaela Killian: Institute of Mechanics and Mechatronics, TU WIEN, Getreidemarkt 9, 1060 Wien, Austria
Martin Kozek: Institute of Mechanics and Mechatronics, TU WIEN, Getreidemarkt 9, 1060 Wien, Austria

Sustainability, 2017, vol. 9, issue 2, 1-20

Abstract: A hierarchicalmodel predictive controller (HMPC) is proposed for flexible and sustainable building automation. The implications of a building automation system for sustainability are defined, and model predictive control is introduced as an ideal tool to cover all requirements. The HMPC is presented as a development suitable for the optimization of modern buildings, as well as retrofitting. The performance and flexibility of the HMPC is demonstrated by simulation studies of a modern office building, and the perfect interaction with future smart grids is shown.

Keywords: building automation; model predictive control; optimization of building operation; flexibility; retrofit tool; smart building (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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