Automated Approach to Exchange Energy Information

  • J. Schlechtendahl
  • P. Eberspächer
  • S. Schrems
  • P. Sekler
  • A. Verl
  • E. Abele
Conference paper

Abstract

Optimizing the product, the supply chain, the production process chain and steps as well as the structure and components of manufacturing systems can all contribute to resource and energy efficient production. It has to be kept in mind, though, that these strategies yield an “average optimization”. The operation in an energy optimal state is not considered.

In this paper results from the research group ECOMATION are presented, describing how energy information necessary to generate energy control loops on different levels in the production process can be provided automatically in different environments. The energy information can either be integrated in the control infrastructure and used in machine controls for real-time decisions or combined with modelling tools for creating energy prediction simulation.

Keywords

Energy Consumption Machine Tool Usage Scenario Energy Information Machine Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

The authors are grateful to the German Research Foundation for funding the presented work in the project FOR1088 “ECOMATION”.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • J. Schlechtendahl
    • P. Eberspächer
      • 1
    • S. Schrems
      • 1
    • P. Sekler
      • 1
    • A. Verl
      • 1
    • E. Abele
      • 2
    1. 1.Institute for Control Engineering of Machine Tools and Manufacturing UnitUniversity of StuttgartStuttgartGermany
    2. 2.Department of Production Management, Technology and Machine ToolsTU DarmstadtDarmstadtGermany (Deutschland)

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