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Sintering flue gas circulation optimization under the combined benefits of carbon dioxide and air pollutant emission reduction

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  • Che, Zichang
  • Cheng, Sihong
  • Cui, Yongkang
  • Liu, Ximiao
  • Guo, Wentao
  • Shi, Yingzhe
  • Xing, Yi
  • Su, Wei

Abstract

The imperative for carbon reduction and pollution mitigation has imposed stringent high-quality development requirements on the steel industry. This study proposes a collaborative optimization framework for carbon reduction and pollution control, specifically targeting the sintering flue gas circulation process, which is a significant emitter of multiple pollutants. The framework explores the feasibility of utilizing sintering flue gas as ring-cooler cooling air intake and introduces a comprehensive gas composition control strategy. The findings reveal that, for the case sintering system, overall atmospheric pollutant emissions can be reduced by approximately 32.7 %, carbon dioxide emissions can be lowered by 50 %, and process energy efficiency can be improved by 14.7 %. The flue gas circulation treatment technology demonstrates a highly synergistic relationship between carbon reduction and pollution mitigation. Furthermore, flue gas circulation has been identified as a pivotal reserved technology for coordinating pollution reduction and carbon emission mitigation. This study provides valuable assessment and optimization control guidance for collaborative emission reduction of pollutants and carbon in the steel industry.

Suggested Citation

  • Che, Zichang & Cheng, Sihong & Cui, Yongkang & Liu, Ximiao & Guo, Wentao & Shi, Yingzhe & Xing, Yi & Su, Wei, 2025. "Sintering flue gas circulation optimization under the combined benefits of carbon dioxide and air pollutant emission reduction," Energy, Elsevier, vol. 322(C).
    • Handle: RePEc:eee:energy:v:322:y:2025:i:c:s0360544225011880
    DOI: 10.1016/j.energy.2025.135546
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    References listed on IDEAS

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    1. Naghizadeh, Arefeh & Jafari, Saeed & Norouzi-Apourvari, Saied & Schaffie, Mahin & Hemmati-Sarapardeh, Abdolhossein, 2024. "Multi-objective optimization of water-alternating flue gas process using machine learning and nature-inspired algorithms in a real geological field," Energy, Elsevier, vol. 293(C).
    2. Pahlevaninezhad, Masoud & Davazdah Emami, Mohsen & Panjepour, Masoud, 2014. "The effects of kinetic parameters on combustion characteristics in a sintering bed," Energy, Elsevier, vol. 73(C), pages 160-176.
    3. Zhu, Bangzhu & Chen, Gang & Wang, Ping, 2024. "How does green fiscal policy promote the synergy of pollution mitigation and carbon reduction? Evidence from China," Energy, Elsevier, vol. 313(C).
    4. Zhang, Shuo & Yu, Kun & Yu, Yadong, 2025. "Industrial transformation for synergistic carbon and pollutant reduction in China: Using environmentally extended multi-regional input-output model and multi-objective optimization," Energy, Elsevier, vol. 318(C).
    5. Li, Zihao & Bai, Tingting & Qian, Jingwen & Wu, Haitao, 2024. "The digital revolution's environmental paradox: Exploring the synergistic effects of pollution and carbon reduction via industrial metamorphosis and displacement," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    6. Zhong, Wenli & Liu, Yang & Dong, Kangyin & Ni, Guohua, 2024. "Assessing the synergistic effects of artificial intelligence on pollutant and carbon emission mitigation in China," Energy Economics, Elsevier, vol. 138(C).
    7. Matino, Ismael & Colla, Valentina & Baragiola, Stefano, 2017. "Quantification of energy and environmental impacts in uncommon electric steelmaking scenarios to improve process sustainability," Applied Energy, Elsevier, vol. 207(C), pages 543-552.
    8. Cheng, Zhilong & Tan, Zhoutuo & Guo, Zhigang & Yang, Jian & Wang, Qiuwang, 2020. "Recent progress in sustainable and energy-efficient technologies for sinter production in the iron and steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    9. Ma, Hongqiang & Xie, Yue & Duan, Kerun & Song, Xingpeng & Ding, Ruixiang & Hou, Caiqin, 2022. "Dynamic control method of flue gas heat transfer system in the waste heat recovery process," Energy, Elsevier, vol. 259(C).
    10. Zhang, Xiao-Hui & Feng, Peng & Xu, Jia-Rui & Feng, Li-Bin & Qing, Shan, 2020. "Numerical research on combining flue gas recirculation sintering and fuel layered distribution sintering in the iron ore sintering process," Energy, Elsevier, vol. 192(C).
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