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A novel energy efficiency grade evaluation approach for machining systems based on inherent energy efficiency

Author

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  • Feng Ma
  • Hua Zhang
  • Qingshan Gong
  • K. K. B. Hon

Abstract

Characterising the energy efficiency grades of machining systems (MS) is an effective analytical methodology or management tool that helps to establish the high energy-efficient MS. However, the current MS energy efficiency approaches still lack scientific and practical formulation strategies to addresses this issue due to its multi-source and variable energy consumption characteristics. Focusing on this challenge, a new concept of inherent energy efficiency (IEE), which is formed in the design and formation phases of the MS, is proposed. Meanwhile, a novel energy efficiency grade evaluation (EEGE) approach based on IEE is also presented. The proposed EEGE approach not only can evaluate the MS energy efficiency grades, but also can reveal the MS high energy-efficient intervals. According to the analysis of IEE in MS, the EEGE approach is developed in three steps: (i) the establishment of IEE evaluating indicator system from both inherent energy utilisation (IEU) and inherent specific energy (ISE), (ii) the acquisition of the IEE, and (iii) the development of a quantitative method for the EEGE in MS. Finally, a case study of energy efficiency grade evaluation and analysis for an XK714D CNC milling machining centre is examined, illustrating the practicability of the proposed method.

Suggested Citation

  • Feng Ma & Hua Zhang & Qingshan Gong & K. K. B. Hon, 2021. "A novel energy efficiency grade evaluation approach for machining systems based on inherent energy efficiency," International Journal of Production Research, Taylor & Francis Journals, vol. 59(19), pages 6022-6033, October.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:19:p:6022-6033
    DOI: 10.1080/00207543.2020.1799104
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    Cited by:

    1. Qingshan Gong & Yurong Xiong & Zhigang Jiang & Jinghong Yang & Chen Chen, 2022. "Timing Decision for Active Remanufacturing Based on 3E Analysis of Product Life Cycle," Sustainability, MDPI, vol. 14(14), pages 1-12, July.

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