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Sustainability 2017, 9(2), 264; doi:10.3390/su9020264

Hierarchical Model Predictive Control for Sustainable Building Automation

1
Institute of Industrial Management, FH JOANNEUM, Alte Poststraße 149, 8020 Graz, Austria
2
Institute of Mechanics and Mechatronics, TU WIEN, Getreidemarkt 9, 1060 Wien, Austria
*
Author to whom correspondence should be addressed.
Received: 29 June 2016 / Accepted: 2 February 2017 / Published: 13 February 2017
(This article belongs to the Special Issue Advances in Post Occupancy Evaluation)
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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. View Full-Text
Keywords: building automation; model predictive control; optimization of building operation; flexibility; retrofit tool; smart building building automation; model predictive control; optimization of building operation; flexibility; retrofit tool; smart building
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Mayer, B.; Killian, M.; Kozek, M. Hierarchical Model Predictive Control for Sustainable Building Automation. Sustainability 2017, 9, 264.

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