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An energy saving perception method for industrial circulating cooling system.

Xiaochen Zhu1, Chenlin Wang2, Xianan Sun1

  • 1College of Information Science and Engineering, Northeastern University, Shenyang, 110819, China.

Scientific Reports
|October 17, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new evaluation system for industrial circulating cooling systems (CCS) to improve energy-saving perception. The developed method offers a more accurate assessment of CCS energy efficiency in industrial settings.

Keywords:
Binomial coefficient methodCRITIC methodCirculating cooling system (CCS)Energy-saving perceptionIndex system

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Area of Science:

  • Industrial engineering
  • Energy systems analysis
  • Environmental science

Background:

  • Circulating cooling systems (CCS) are crucial for industrial processes, offering significant energy-saving potential.
  • Current energy-saving perception research for CCS suffers from incomplete evaluation systems and flawed indicator weighting.

Purpose of the Study:

  • To establish a novel, comprehensive index system for evaluating industrial CCS energy savings.
  • To develop an integrated perception method combining subjective and objective data for accurate energy-saving assessment.

Main Methods:

  • Analysis of CCS operational mechanisms (heat exchange, cooling, circulation) to define key evaluation aspects.
  • Integration of the binomial coefficient method (subjective expert input) and the CRITIC method (objective data analysis).
  • Validation of the proposed method through a case study on a steel enterprise's CCS.

Main Results:

  • A refined index system for industrial CCS, addressing heat exchange, cooling, and circulation.
  • A hybrid subjective-objective method for comprehensive energy-saving evaluation.
  • Demonstrated applicability and accuracy of the method in a real-world industrial scenario.

Conclusions:

  • The proposed index system and perception method enhance the accuracy of CCS energy-saving evaluations.
  • This approach addresses limitations in existing evaluation frameworks for industrial cooling systems.
  • The validated method provides a robust tool for optimizing energy efficiency in industrial CCS.