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Optimization of energy efficiency, energy consumption and CO2 emission in typical iron and steel manufacturing process

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  • Na, Hongming
  • Sun, Jingchao
  • Qiu, Ziyang
  • Yuan, Yuxing
  • Du, Tao

Abstract

Improving energy efficiency of the iron and steel manufacturing process (ISMP) plays a vital role in saving energy and reducing CO2 emissions. However, there is currently a lack of research on assessment method and improvement rules of energy efficiency of the ISMP. In addition, the impact of energy efficiency on CO2 emissions and energy consumption is rarely mentioned in previous studies. To fill this gap, this study establishes an assessment and optimization model of energy efficiency, energy consumption and CO2 emissions in the ISMP. Taking material parameters, process parameters and reaction conditions as constraints, this study optimizes a practical ISMP with maximizing energy efficiency as the optimization goal, and further analyze energy consumption and CO2 emissions of typical ISMP. After optimizing, energy efficiency of the ISMP is increased from 64.00% to 68.20%, energy consumption of the ISMP is reduced from 15.76 GJ/t-steel to 12.31 GJ/t-s, and the CO2 emission of the ISMP is reduced from 1215.2 kg/t-steel to 815.3 kg/t-s. It is found that injected coal ratio of blast furnace, charge structure of blast furnace, iron-steel interface and casting-rolling interface have a greater impact on energy efficiency, energy consumption and CO2 emission of the ISMP.

Suggested Citation

  • Na, Hongming & Sun, Jingchao & Qiu, Ziyang & Yuan, Yuxing & Du, Tao, 2022. "Optimization of energy efficiency, energy consumption and CO2 emission in typical iron and steel manufacturing process," Energy, Elsevier, vol. 257(C).
    • Handle: RePEc:eee:energy:v:257:y:2022:i:c:s036054422201725x
    DOI: 10.1016/j.energy.2022.124822
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    References listed on IDEAS

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    2. Lin, Yuancheng & Ma, Linwei & Li, Zheng & Ni, Weidou, 2023. "The carbon reduction potential by improving technical efficiency from energy sources to final services in China: An extended Kaya identity analysis," Energy, Elsevier, vol. 263(PE).
    3. Qiu, Ziyang & Yue, Qiang & Yan, Tianyi & Wang, Qi & Sun, Jingchao & Yuan, Yuxing & Che, Zichang & Wang, Yisong & Du, Tao, 2023. "Gas utilization optimization and exergy analysis of hydrogen metallurgical shaft furnace," Energy, Elsevier, vol. 263(PC).
    4. Yuan, Yuxing & Na, Hongming & Du, Tao & Qiu, Ziyang & Sun, Jingchao & Yan, Tianyi & Che, Zichang, 2023. "Multi-objective optimization and analysis of material and energy flows in a typical steel plant," Energy, Elsevier, vol. 263(PD).
    5. Issam Hanafi & Bousselham Samoudi & Ahlem Ben Halima & Laurent Canale, 2022. "Hotspots and Tendencies of Energy Optimization Based on Bibliometric Review," Energies, MDPI, vol. 16(1), pages 1-22, December.

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