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Evaluation of Energy Saving and Emission Reduction in Steel Enterprises Using an Improved Dempster–Shafer Evidence Theory: A Case Study from China

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  • Yongxia Chen

    (College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Zhe Rao

    (College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Lin Yuan

    (Magang (Group) Holding Co., Ltd., Maanshan 243003, China)

  • Tianlong Meng

    (College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China)

Abstract

As global warming and environmental issues become increasingly prominent, steel enterprises, as a carbon-intensive industry, face urgent challenges in energy saving and emission reduction (ESER). This study develops a novel evaluation model integrating the WSR methodology, the cloud matter-element model, and an improved D-S evidence theory to address the fuzziness, randomness, and uncertainty in ESER assessments. A case study demonstrates that this approach can address the correlation between ESER indicators; quantify the evaluation process; and optimize issues related to fuzziness, randomness, and uncertainty. This finding provides a systematic evaluation framework for ESER in steel enterprises operating under the long-process production model (the blast furnace-converter model), offering valuable insights for formulating comprehensive ESER strategies throughout the entire production process.

Suggested Citation

  • Yongxia Chen & Zhe Rao & Lin Yuan & Tianlong Meng, 2025. "Evaluation of Energy Saving and Emission Reduction in Steel Enterprises Using an Improved Dempster–Shafer Evidence Theory: A Case Study from China," Sustainability, MDPI, vol. 17(9), pages 1-26, April.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:9:p:3954-:d:1644421
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    References listed on IDEAS

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