Chapter 2.4. Energy and HVAC: Sensor-Based Management of Energy and Thermal Comfort

  1. Prof. Dr. Joachim Hesse2,
  2. Prof. Julian W. Gardner3 and
  3. Prof. Dr. Wolfgang Göpel†4
  1. Th. Bernard and
  2. H.-B. Kuntze

Published Online: 14 FEB 2008

DOI: 10.1002/9783527619252.ch2d

Sensors Applications: 5 Volumes

Sensors Applications: 5 Volumes

How to Cite

Bernard, Th. and Kuntze, H.-B. (2005) Energy and HVAC: Sensor-Based Management of Energy and Thermal Comfort, in Sensors Applications: 5 Volumes (eds J. Hesse, J. W. Gardner and W. Göpel†), Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, Germany. doi: 10.1002/9783527619252.ch2d

Editor Information

  1. 2

    Carl Zeiss, Postfach 1380, 73447 Oberkochen, Germany

  2. 3

    University of Warwick, Division of Electrical & Electronic Engineering, Coventry CV 7AL, United Kingdom

  3. 4

    Institut für Physikalische und Theoretische Chemie, Universität Tübingen, Auf der Morgenstelle 8, 72076 Tübingen, Germany

Author Information

  1. Fraunhofer Institute for Information and Data Processing IITB, Fraunhofer Strasse 1, 76131 Karlsruhe, Germany

Publication History

  1. Published Online: 14 FEB 2008
  2. Published Print: 25 MAY 2005

ISBN Information

Print ISBN: 9783527295654

Online ISBN: 9783527619252

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Keywords:

  • sensor-based management of energy;
  • sensor-based management of thermal comfort;
  • multi-objective fuzzy optimization;
  • comfort criteria;
  • economy criteria;
  • optimization of heating temperature;
  • optimization of air exchange rate;
  • optimization of blind position;
  • supervisory control of heating;
  • supervisory control of ventilation systems;
  • supervisory control of heating;
  • supervisory control of blind systems

Summary

This chapter contains sections titled:

  • Motivation

  • Control concept

  • Theoretical approach of multi-objective fuzzy optimization

    • The basic algorithm

    • Important features

    • Weighting of different performance criteria

    • Model equations

  • Application to the supervisory control of HVAC systems

    • Comfort criteria

    • Economy criteria

    • Optimization of heating temperature

    • Optimization of air exchange rate

    • Optimization of blind position

  • Simulations and measured results

    • Supervisory control of heating and ventilation systems

    • Supervisory control of heating and blind systems

  • Conclusions

  • References