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Demand Side Management in Smart Buildings Using KNX/EIB

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Energy-Efficient Computing and Networking (E-Energy 2010)

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Abstract

This paper aims to present the development, design and analysis of a control scheme named Thermal Model Predictive Control for Demand Side Management Cooling Strategies. The control is implemented on a building in Athens whose thermal model is derived using the Finite Difference Calculation Method. The development and testing of the thermal model is implemented on-line while the predictive controller for cooling strategies is analysed through simulation results. The advantages of the scheme are described, including the ability of the predictive controller to consult the users for energy and cost savings during the peak demand, in an acceptable way by them regarding the thermal comfort issue. Smart Grids and Smart Microgrids can communicate with this controller for increasing their efficiency.

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References

  1. IEA Demand-Side Management working group: The power to choose Demand Response in liberalised energy markets. Energy Market Reform. OECD/IEA (2003)

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  2. Romanos, P.: Thermal Model Predictive Control for Demand Side Management Cooling Strategies. Kassel University Press (2007)

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  3. Duffie, J.A., Beckman, W.A.: Solar Engineering of Thermal Processes. John Wiley & Sons, U.S.A (1991)

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  4. Schmid, J.: Transparente Wärmedämmung in der Architektur. C. F. Müller, Heidelberg (1995)

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  5. http://www.eex.de

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Author information

Authors and Affiliations

  1. National Technical University of Athens, 9 Heroon Polytechniou Str., 15773, Zografou, Greece

    P. Romanos & N. Hatziargyriou

  2. ISET e.V., Konigstor 59, D-34119, Kassel, Germany

    Jurgen Schmid

Authors
  1. P. Romanos
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  2. N. Hatziargyriou
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  3. Jurgen Schmid
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Editor information

Editors and Affiliations

  1. National Technical University of Athens, 15780, Zografou, Attika, Greece

    Nikos Hatziargyriou , Aris Dimeas  & Thomai Tomtsi ,  & 

  2. SAP Research Center, Vincenz-Prießnitz-Str. 1, 76131, Karlsruhe, Germany

    Anke Weidlich

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© 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Romanos, P., Hatziargyriou, N., Schmid, J. (2011). Demand Side Management in Smart Buildings Using KNX/EIB. In: Hatziargyriou, N., Dimeas, A., Tomtsi, T., Weidlich, A. (eds) Energy-Efficient Computing and Networking. E-Energy 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 54. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19322-4_14

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  • DOI: https://doi.org/10.1007/978-3-642-19322-4_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19321-7

  • Online ISBN: 978-3-642-19322-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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