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Modelling Power Adaption Flexibility of Data Centres for Demand-Response Management

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Energy Efficiency in Large Scale Distributed Systems (EE-LSDS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8046))

Abstract

Demand-response management is an approach that includes the power demand side into the power management process to reshape power demand of consumers to the current availability of power. Data centres are major energy consumers that are highly interesting for demand-response management. However, in contrast to many other energy consumers, data centres have a highly dynamic flexibility in terms of power adaption, depending on the current situation, which makes their integration into demand-response management difficult. This paper suggests a model for the dynamic power adaption flexibility of data centres, to foster their integration into demand-response management.

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Notes

  1. 1.

    http://www.guardian.co.uk/sustainable-business/data-centres-energy-efficient

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Acknowledgments

This research has been supported by the EU FP7 Project All4Green “Active collaboration in data centre ecosystem to reduce energy consumption and GHG emissions", FP7-ICT-2011-6.2.

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Authors and Affiliations

  1. Computer Networks and Communications, University of Passau, Passau, Germany

    Andreas Berl, Gergö Lovász, Ferdinand von Tüllenburg & Hermann de Meer

Authors
  1. Andreas Berl
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  2. Gergö Lovász
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  3. Ferdinand von Tüllenburg
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  4. Hermann de Meer
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Corresponding author

Correspondence to Andreas Berl .

Editor information

Editors and Affiliations

  1. Toulouse University, Toulouse, France

    Jean-Marc Pierson

  2. Toulouse University, Toulouse, France

    Georges Da Costa

  3. Technical University of Denmark, Lyngby, Denmark

    Lars Dittmann

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© 2013 Springer-Verlag Berlin Heidelberg

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Berl, A., Lovász, G., Tüllenburg, F.v., Meer, H.d. (2013). Modelling Power Adaption Flexibility of Data Centres for Demand-Response Management. In: Pierson, JM., Da Costa, G., Dittmann, L. (eds) Energy Efficiency in Large Scale Distributed Systems. EE-LSDS 2013. Lecture Notes in Computer Science(), vol 8046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40517-4_6

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  • DOI: https://doi.org/10.1007/978-3-642-40517-4_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40516-7

  • Online ISBN: 978-3-642-40517-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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