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Hierarchical Model Predictive Control for Sustainable Building Automation

Author

Listed:
  • 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)

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.

Suggested Citation

  • Barbara Mayer & Michaela Killian & Martin Kozek, 2017. "Hierarchical Model Predictive Control for Sustainable Building Automation," Sustainability, MDPI, vol. 9(2), pages 1-20, February.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:2:p:264-:d:90196
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    References listed on IDEAS

    as
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    Cited by:

    1. Thongchart Kerdphol & Fathin S. Rahman & Yasunori Mitani & Komsan Hongesombut & Sinan Küfeoğlu, 2017. "Virtual Inertia Control-Based Model Predictive Control for Microgrid Frequency Stabilization Considering High Renewable Energy Integration," Sustainability, MDPI, vol. 9(5), pages 1-21, May.
    2. Moser, A. & Muschick, D. & Gölles, M. & Nageler, P. & Schranzhofer, H. & Mach, T. & Ribas Tugores, C. & Leusbrock, I. & Stark, S. & Lackner, F. & Hofer, A., 2020. "A MILP-based modular energy management system for urban multi-energy systems: Performance and sensitivity analysis," Applied Energy, Elsevier, vol. 261(C).

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