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A Diagnostic Approach to Improving the Energy Efficiency of Production Processes—2E-DAmIcS Methodology

Author

Listed:
  • Adam Hamrol

    (Faculty of Mechanical Engineering, Poznan University of Technology, 60-965 Poznań, Poland)

  • Agnieszka Kujawińska

    (Faculty of Mechanical Engineering, Poznan University of Technology, 60-965 Poznań, Poland)

  • Krzysztof Brzozowski

    (EXIDE Technologies Group Poland, 61-016 Poznań, Poland)

  • Małgorzata Jasiulewicz-Kaczmarek

    (Faculty of Engineering Management, Poznan University of Technology, 60-965 Poznań, Poland)

Abstract

This article presents the issue of energy waste in manufacturing processes, focusing on reducing unnecessary energy consumption and CO 2 emissions. A significant challenge in modern production is identifying and minimizing energy waste, which not only increases operational costs but also contributes to environmental degradation. An improvement methodology referred to as 2E-DAmIcS is proposed. A distinguishing feature of the methodology is a risk map of energy waste in the production process. Application of the methodology is demonstrated using the example of a lead–acid battery production process. It is shown that even small but well-diagnosed changes to the process make it possible to significantly reduce energy consumption. The proposed methodology offers practical tools for managers and decision-makers in various industries to systematically identify and minimize energy waste. It highlights the importance of cross-disciplinary collaboration among specialists in technology, energy consumption, and statistical analysis to optimize energy use. By applying this approach, companies can achieve both financial savings and environmental benefits, contributing to more sustainable production practices.

Suggested Citation

  • Adam Hamrol & Agnieszka Kujawińska & Krzysztof Brzozowski & Małgorzata Jasiulewicz-Kaczmarek, 2024. "A Diagnostic Approach to Improving the Energy Efficiency of Production Processes—2E-DAmIcS Methodology," Energies, MDPI, vol. 17(23), pages 1-19, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:5942-:d:1530136
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    References listed on IDEAS

    as
    1. Chen, Xingzheng & Li, Congbo & Tang, Ying & Li, Li & Du, Yanbin & Li, Lingling, 2019. "Integrated optimization of cutting tool and cutting parameters in face milling for minimizing energy footprint and production time," Energy, Elsevier, vol. 175(C), pages 1021-1037.
    2. Zsolt Buri & Csanád Sipos & Edit Szűcs & Domicián Máté, 2024. "Smart and Sustainable Energy Consumption: A Bibliometric Review and Visualization," Energies, MDPI, vol. 17(13), pages 1-14, July.
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