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Exergy loss minimization for a blast furnace with comparative analyses for energy flows and exergy flows

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  • Liu, Xiong
  • Chen, Lingen
  • Qin, Xiaoyong
  • Sun, Fengrui

Abstract

An optimization model based on material balance and energy balance for a blast furnace iron-making process is established, in which exergy loss minimization is taken as optimization objective. Optimization results are obtained by using sequential quadratic programming method. Effects of coal ratio, top gas temperature, slag basicity and blast parameters on the optimization results are analyzed. The optimization results of the exergy loss minimization objective and the coke ratio minimization objective are analyzed comparatively. The energy flows and exergy flows before and after the optimizations for different objectives are analyzed comparatively. The results show that the total energy flow input, the total exergy flow input and the exergy loss decrease after optimizations. The exergy loss obtained from the optimizations for the exergy loss minimization objective and coke ratio minimization objective decreases by 5.77% and 5.14%, respectively. Above 80% of the total energy input is the energy of fuel and above 80% of the total exergy input is the exergy of fuel. The exergy loss decreases with the increases in coal ratio and blast temperature, and increases with the increases in blast humidity, oxygen enrichment, top gas temperature and slag basicity.

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  • Liu, Xiong & Chen, Lingen & Qin, Xiaoyong & Sun, Fengrui, 2015. "Exergy loss minimization for a blast furnace with comparative analyses for energy flows and exergy flows," Energy, Elsevier, vol. 93(P1), pages 10-19.
    • Handle: RePEc:eee:energy:v:93:y:2015:i:p1:p:10-19
    DOI: 10.1016/j.energy.2015.09.008
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    7. Wu, Junnian & Wang, Ruiqi & Pu, Guangying & Qi, Hang, 2016. "Integrated assessment of exergy, energy and carbon dioxide emissions in an iron and steel industrial network," Applied Energy, Elsevier, vol. 183(C), pages 430-444.
    8. 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).
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    10. Na, Hongming & Sun, Jingchao & Qiu, Ziyang & He, Jianfei & Yuan, Yuxing & Yan, Tianyi & Du, Tao, 2021. "A novel evaluation method for energy efficiency of process industry — A case study of typical iron and steel manufacturing process," Energy, Elsevier, vol. 233(C).
    11. Wu, Junnian & Pu, Guangying & Guo, Yan & Lv, Jingwen & Shang, Jiangwei, 2018. "Retrospective and prospective assessment of exergy, life cycle carbon emissions, and water footprint for coking network evolution in China," Applied Energy, Elsevier, vol. 218(C), pages 479-493.
    12. Chen, Jingwei & Huang, Yizhen & Liu, Yang & Jiaqiang, E., 2024. "System development and thermodynamic performance analysis of a system integrating supercritical water gasification of black liquor with direct-reduced iron process," Energy, Elsevier, vol. 295(C).
    13. Sun, Jingchao & Na, Hongming & Yan, Tianyi & Qiu, Ziyang & Yuan, Yuxing & He, Jianfei & Li, Yingnan & Wang, Yisong & Du, Tao, 2021. "A comprehensive assessment on material, exergy and emission networks for the integrated iron and steel industry," Energy, Elsevier, vol. 235(C).
    14. Liu, Xiong & Feng, Huijun & Chen, Lingen & Qin, Xiaoyong & Sun, Fengrui, 2016. "Hot metal yield optimization of a blast furnace based on constructal theory," Energy, Elsevier, vol. 104(C), pages 33-41.
    15. Sun, Wenqiang & Wang, Zihao & Wang, Qiang, 2020. "Hybrid event-, mechanism- and data-driven prediction of blast furnace gas generation," Energy, Elsevier, vol. 199(C).
    16. Jabari, Farkhondeh & Mohammadi-ivatloo, Behnam & Bannae Sharifian, Mohammad Bagher & Nojavan, Sayyad, 2018. "Design and robust optimization of a novel industrial continuous heat treatment furnace," Energy, Elsevier, vol. 142(C), pages 896-910.
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