Article Details

Title · Authors · Abstract · Keywords · DOI · References

Energy-saving and Low-carbon Equipment Selection Model of Production Process Based on Improved Grey Wolf Optimizer

XIAO Yongmao1, LIU Yuandan2

(1.Xinjiang Institute of Engineering, Urumqi 830023, China; 2.School of Fine Arts and Design, Xinyang Normal University, Xinyang 464000, China)

Section:Computer Technology · Vol. 2025, Issue 1 · Pages:49-53,59 · 2096-4706(2025)01-0049-06 · CLC number:TP18 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2025.01.011

Abstract

Production equipment is an important foundation for the required energy consumption and the produced carbon emissions in the production process. There are significant differences in energy consumption and carbon emissions during the production of the same product using different equipment. The traditional method of selecting equipment can only provide a qualitative comparison of advantages and disadvantages, which is difficult to meet the quantitative requirements of resource conservation and pollution reduction. To address this issue, this paper proposes a unified calculation method for energy consumption and carbon emissions targets of multiple types of equipment in the product production process, and establishes a unified mathematical model for energy consumption and carbon emissions in the production process, providing a basis for quantitatively identifying differences between different equipment targets. The improved Grey Wolf Optimizer is used to calculate the optimal target values of energy consumption and carbon emissions of various equipment for producing the same product. Taking the machining holes as an example, the verification results show that the production equipment selected according to the model can save energy consumption by 4.2% and reduce carbon emissions by 9.2%. The model can help enterprises choose energy-saving and low-carbon production equipment in the production process.

Keywords

production process; energy-saving and low-carbon; equipment selection; improved Grey Wolf Optimizer

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Funding

Guizhou Province 2022 Higher Education Teaching Content and Curriculum System Reform Project (2022331)

About the authors

Xiao Yongmao (1983-), male, Han ethnicity, from Cangzhou, Hebei Province, associate professor, PhD, research direction: green manufacturing, manufacturing systems engineering.