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Multi-objective optimization and analysis of material and energy flows in a typical steel plant

Author

Listed:
  • Yuan, Yuxing
  • Na, Hongming
  • Du, Tao
  • Qiu, Ziyang
  • Sun, Jingchao
  • Yan, Tianyi
  • Che, Zichang

Abstract

The integrated optimization and analysis of material and energy flows are effective ways to reduce energy consumption and costs in the iron and steel sector. There is still a lack of research on the multi-objective optimization of the integrated steel production process and the auxiliary energy process. To fill this gap, this paper presented a single- and multi-objective optimization model for material and energy scheduling and utilization of the steelworks. This model considered physical and chemical conversion mechanisms in the production process, as well as operating characteristics and production-consumption relations of equipment in the gas-steam-electricity network. The objective function was constructed using comprehensive energy consumption (CEC) and economic cost (EC), and fuzzy sets were used to find a compromise solution and the trade-off operation strategies between the two goals. The CEC and EC effectively dropped by 5.09% and 7.29%, respectively, in comparison to the actual enterprise value, through the optimization of the material ratio, product structure, energy utilization, and other parameters of the steelworks. Additionally, a quantitative analysis of the effects of variables such as the ratio of pellets, the ratio of scrap, the hot charging temperature of the slab, and the utilization of surplus gases was conducted.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:energy:v:263:y:2023:i:pd:s0360544222027608
    DOI: 10.1016/j.energy.2022.125874
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    References listed on IDEAS

    as
    1. Liu, Xiong & Chen, Lingen & Feng, Huijun & Qin, Xiaoyong & Sun, Fengrui, 2016. "Constructal design of a blast furnace iron-making process based on multi-objective optimization," Energy, Elsevier, vol. 109(C), pages 137-151.
    2. Suopajärvi, Hannu & Umeki, Kentaro & Mousa, Elsayed & Hedayati, Ali & Romar, Henrik & Kemppainen, Antti & Wang, Chuan & Phounglamcheik, Aekjuthon & Tuomikoski, Sari & Norberg, Nicklas & Andefors, Alf , 2018. "Use of biomass in integrated steelmaking – Status quo, future needs and comparison to other low-CO2 steel production technologies," Applied Energy, Elsevier, vol. 213(C), pages 384-407.
    3. Porzio, Giacomo Filippo & Fornai, Barbara & Amato, Alessandro & Matarese, Nicola & Vannucci, Marco & Chiappelli, Lisa & Colla, Valentina, 2013. "Reducing the energy consumption and CO2 emissions of energy intensive industries through decision support systems – An example of application to the steel industry," Applied Energy, Elsevier, vol. 112(C), pages 818-833.
    4. Liu, Changxin & Xie, Zhihui & Sun, Fengrui & Chen, Lingen, 2017. "Exergy analysis and optimization of coking process," Energy, Elsevier, vol. 139(C), pages 694-705.
    5. Shin, Sunkyu & Lee, Jeong-Keun & Lee, In-Beum, 2020. "Development and techno-economic study of methanol production from coke-oven gas blended with Linz Donawitz gas," Energy, Elsevier, vol. 200(C).
    6. 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.
    7. Wang, Yihan & Wen, Zongguo & Yao, Jianguo & Doh Dinga, Christian, 2020. "Multi-objective optimization of synergic energy conservation and CO2 emission reduction in China's iron and steel industry under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    8. Xuan, Yanni & Yue, Qiang, 2017. "Scenario analysis on resource and environmental benefits of imported steel scrap for China’s steel industry," Resources, Conservation & Recycling, Elsevier, vol. 120(C), pages 186-198.
    9. Zeng, Yujiao & Xiao, Xin & Li, Jie & Sun, Li & Floudas, Christodoulos A. & Li, Hechang, 2018. "A novel multi-period mixed-integer linear optimization model for optimal distribution of byproduct gases, steam and power in an iron and steel plant," Energy, Elsevier, vol. 143(C), pages 881-899.
    10. 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).
    11. Sun, Wenqiang & Wang, Qiang & Zhou, Yue & Wu, Jianzhong, 2020. "Material and energy flows of the iron and steel industry: Status quo, challenges and perspectives," Applied Energy, Elsevier, vol. 268(C).
    12. Zhao, Xiancong & Bai, Hao & Shi, Qi & Lu, Xin & Zhang, Zhihui, 2017. "Optimal scheduling of a byproduct gas system in a steel plant considering time-of-use electricity pricing," Applied Energy, Elsevier, vol. 195(C), pages 100-113.
    13. Hasanbeigi, Ali & Arens, Marlene & Cardenas, Jose Carlos Rojas & Price, Lynn & Triolo, Ryan, 2016. "Comparison of carbon dioxide emissions intensity of steel production in China, Germany, Mexico, and the United States," Resources, Conservation & Recycling, Elsevier, vol. 113(C), pages 127-139.
    14. 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).
    15. Sun, Jingchao & Na, Hongming & Yan, Tianyi & Che, Zichang & Qiu, Ziyang & Yuan, Yuxing & Li, Yingnan & Du, Tao & Song, Yanli & Fang, Xin, 2022. "Cost-benefit assessment of manufacturing system using comprehensive value flow analysis," Applied Energy, Elsevier, vol. 310(C).
    16. Zhang, Hui & Wang, Hong & Zhu, Xun & Qiu, Yong-Jun & Li, Kai & Chen, Rong & Liao, Qiang, 2013. "A review of waste heat recovery technologies towards molten slag in steel industry," Applied Energy, Elsevier, vol. 112(C), pages 956-966.
    17. Ke Wang & Linan Che & Chunbo Ma & Yi-Ming Wei, 2017. "The Shadow Price of CO2 Emissions in China's Iron and Steel Industry," CEEP-BIT Working Papers 105, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    18. Jing-yu Liu & Jiu-ju Cai, 2014. "An Optimization Model Based on Electric Power Generation in Steel Industry," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, March.
    19. 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).
    20. Doh Dinga, Christian & Wen, Zongguo, 2021. "Many-objective optimization of energy conservation and emission reduction in China’s cement industry," Applied Energy, Elsevier, vol. 304(C).
    21. Zhang, Hanxin & Sun, Wenqiang & Li, Weidong & Ma, Guangyu, 2022. "A carbon flow tracing and carbon accounting method for exploring CO2 emissions of the iron and steel industry: An integrated material–energy–carbon hub," Applied Energy, Elsevier, vol. 309(C).
    22. Serrenho, André Cabrera & Mourão, Zenaida Sobral & Norman, Jonathan & Cullen, Jonathan M. & Allwood, Julian M., 2016. "The influence of UK emissions reduction targets on the emissions of the global steel industry," Resources, Conservation & Recycling, Elsevier, vol. 107(C), pages 174-184.
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