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Energy Agents for Energy Load Profiling in Modular Skill-Based Production Environments

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Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future (SOHOMA 2023)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1136))

Abstract

Modular skill-based production environments provide a high flexibility to fulfil various requirements in manufacturing like the production of individualized products or the selection of alternative production chains in case of unforeseen disturbances. Within these complex and changing production environments, there is a demand for transparency on the energy consumption and related energy costs for production processes, so that these can be considered during planning and monitoring of machine skills. However, the ability to manufacture products by using such flexible production processes leads to various constellations in which it is difficult to identify and map the related energy consumption of production skills. The objective of this paper is to develop a concept that, in the context of a multi-agent distributed production control system, allows energy agents to interact with resource agents to access energy metering data for energy load profiling during the skill execution in production. A special focus is put on how the functions of energy agents can support a methodical creation of energy load profiles on the granular level of skills. The realization and results are presented on a real-world demonstrator of the SmartFactory-KL as part of a skill-based production environment.

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Acknowledgment

This work was supported by the European Union under the “Horizon 2020” research program (Grant no. 957204) within the project “Multi Agent Systems for Artificial Intelligence” (MAS4AI).

Author information

Authors and Affiliations

  1. German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany

    William Motsch, Aleksandr Sidorenko, Pascal Rübel, Achim Wagner & Martin Ruskowski

  2. Technologie-Initiative SmartFactory KL e.V., Kaiserslautern, Germany

    Marco Simon & Christian Kränzler

Authors
  1. William Motsch
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  2. Marco Simon
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  3. Aleksandr Sidorenko
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  4. Pascal Rübel
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  5. Christian Kränzler
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  6. Achim Wagner
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  7. Martin Ruskowski
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Corresponding author

Correspondence to William Motsch .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science (Automatica), University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. UPHF, LAMIH UMR CNRS 8201, Université Polytechnique Hauts de France, Valenciennes cedex 9, France

    Damien Trentesaux

  3. Polytechnic Institute of Bragança, Braganca, Portugal

    Paulo Leitão

  4. Polytech Annecy-Chambéry, LISTIC, Annecy, France

    Lamia Berrah

  5. SYMME, Polytech Annecy-Chambéry, Annecy, France

    Jose-Fernando Jimenez

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Motsch, W. et al. (2024). Energy Agents for Energy Load Profiling in Modular Skill-Based Production Environments. In: Borangiu, T., Trentesaux, D., Leitão, P., Berrah, L., Jimenez, JF. (eds) Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future. SOHOMA 2023. Studies in Computational Intelligence, vol 1136. Springer, Cham. https://doi.org/10.1007/978-3-031-53445-4_33

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