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Developing Expert Systems for Improving Energy Efficiency in Manufacturing: A Case Study on Parts Cleaning

Author

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  • Borys Ioshchikhes

    (Institute for Production Management, Technology and Machine Tools (PTW), Technical University of Darmstadt, Otto-Berndt-Str. 2, 64287 Darmstadt, Germany)

  • Michael Frank

    (Institute for Production Management, Technology and Machine Tools (PTW), Technical University of Darmstadt, Otto-Berndt-Str. 2, 64287 Darmstadt, Germany)

  • Ghada Elserafi

    (Institute for Production Management, Technology and Machine Tools (PTW), Technical University of Darmstadt, Otto-Berndt-Str. 2, 64287 Darmstadt, Germany)

  • Jonathan Magin

    (Institute for Production Management, Technology and Machine Tools (PTW), Technical University of Darmstadt, Otto-Berndt-Str. 2, 64287 Darmstadt, Germany)

  • Matthias Weigold

    (Institute for Production Management, Technology and Machine Tools (PTW), Technical University of Darmstadt, Otto-Berndt-Str. 2, 64287 Darmstadt, Germany)

Abstract

Despite energy-related financial concerns and the growing demand for sustainability, many energy efficiency measures are not being implemented in industrial practice. There are a number of reasons for this, including a lack of knowledge about energy efficiency potentials and the assessment of energy savings as well as the high workloads of employees. This article describes the systematic development of an expert system, which offers a chance to overcome these obstacles and contribute significantly to increasing the energy efficiency of production machines. The system employs data-driven regression models to identify inefficient parameter settings, calculate achievable energy savings, and prioritize actions based on a fuzzy rule base. Proposed measures are first applied to an analytical real-time simulation model of a production machine to verify that the constraints required for the specified product quality are met. This provides the machine operator with the expert means to apply proposed energy efficiency measures to the physical entity. We demonstrate the development and application of the system for a throughput parts-cleaning machine in the metalworking industry.

Suggested Citation

  • Borys Ioshchikhes & Michael Frank & Ghada Elserafi & Jonathan Magin & Matthias Weigold, 2024. "Developing Expert Systems for Improving Energy Efficiency in Manufacturing: A Case Study on Parts Cleaning," Energies, MDPI, vol. 17(14), pages 1-16, July.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:14:p:3417-:d:1433309
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    References listed on IDEAS

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    1. Jaffe, Adam B. & Stavins, Robert N., 1994. "The energy-efficiency gap What does it mean?," Energy Policy, Elsevier, vol. 22(10), pages 804-810, October.
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