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Material and energy flows of the iron and steel industry: Status quo, challenges and perspectives

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  • Sun, Wenqiang
  • Wang, Qiang
  • Zhou, Yue
  • Wu, Jianzhong

Abstract

Integrated analysis and optimization of material and energy flows in the iron and steel industry have drawn considerable interest from steelmakers, energy engineers, policymakers, financial firms, and academic researchers. Numerous publications in this area have identified their great potential to bring significant benefits and innovation. Although much technical work has been done to analyze and optimize material and energy flows, there is a lack of overview of material and energy flows of the iron and steel industry. To fill this gap, this work first provides an overview of different steel production routes. Next, the modelling, scheduling and interrelation regarding material and energy flows in the iron and steel industry are presented by thoroughly reviewing the existing literature. This study selects eighty publications on the material and energy flows of steelworks, from which a map of the potential of integrating material and energy flows for iron and steel sites is constructed. The paper discusses the challenges to be overcome and the future directions of material and energy flow research in the iron and steel industry, including the fundamental understandings of flow mechanisms, the dynamic material and energy flow scheduling and optimization, the synergy between material and energy flows, flexible production processes and flexible energy systems, smart steel manufacturing and smart energy systems, and revolutionary steelmaking routes and technologies.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:appene:v:268:y:2020:i:c:s030626192030458x
    DOI: 10.1016/j.apenergy.2020.114946
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    as
    1. Matino, Ismael & Dettori, Stefano & Colla, Valentina & Weber, Valentine & Salame, Sahar, 2019. "Forecasting blast furnace gas production and demand through echo state neural network-based models: Pave the way to off-gas optimized management," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    2. Sun, Wenqiang & Zhang, Fengyuan, 2016. "Design and thermodynamic analysis of a flash power system driven by process heat of continuous casting grade steel billet," Energy, Elsevier, vol. 116(P1), pages 94-101.
    3. de Oliveira Junior, Valter B. & Pena, João G. Coelho & Salles, José L. Félix, 2016. "An improved plant-wide multiperiod optimization model of a byproduct gas supply system in the iron and steel-making process," Applied Energy, Elsevier, vol. 164(C), pages 462-474.
    4. Dal Magro, Fabio & Savino, Stefano & Meneghetti, Antonella & Nardin, Gioacchino, 2017. "Coupling waste heat extraction by phase change materials with superheated steam generation in the steel industry," Energy, Elsevier, vol. 137(C), pages 1107-1118.
    5. Qadrdan, Meysam & Cheng, Meng & Wu, Jianzhong & Jenkins, Nick, 2017. "Benefits of demand-side response in combined gas and electricity networks," Applied Energy, Elsevier, vol. 192(C), pages 360-369.
    6. Tang, Lixin & Liu, Jiyin & Rong, Aiying & Yang, Zihou, 2000. "A mathematical programming model for scheduling steelmaking-continuous casting production," European Journal of Operational Research, Elsevier, vol. 120(2), pages 423-435, January.
    7. Kong, Haining & Qi, Ershi & Li, Hui & Li, Gang & Zhang, Xing, 2010. "An MILP model for optimization of byproduct gases in the integrated iron and steel plant," Applied Energy, Elsevier, vol. 87(7), pages 2156-2163, July.
    8. Naim, Mohamed & Aryee, Gilbert & Potter, Andrew, 2010. "Determining a logistics provider's flexibility capability," International Journal of Production Economics, Elsevier, vol. 127(1), pages 39-45, September.
    9. Lee Thomas & Yue Zhou & Chao Long & Jianzhong Wu & Nick Jenkins, 2019. "A general form of smart contract for decentralized energy systems management," Nature Energy, Nature, vol. 4(2), pages 140-149, February.
    10. Al-Wakeel, Ali & Wu, Jianzhong & Jenkins, Nick, 2016. "State estimation of medium voltage distribution networks using smart meter measurements," Applied Energy, Elsevier, vol. 184(C), pages 207-218.
    11. Wang, Heming & Wang, Guoqiang & Qi, Jianchuan & Schandl, Heinz & Li, Yumeng & Feng, Cuiyang & Yang, Xuechun & Wang, Yao & Wang, Xinzhe & Liang, Sai, 2020. "Scarcity-weighted fossil fuel footprint of China at the provincial level," Applied Energy, Elsevier, vol. 258(C).
    12. Zhou, Yue & Wu, Jianzhong & Long, Chao, 2018. "Evaluation of peer-to-peer energy sharing mechanisms based on a multiagent simulation framework," Applied Energy, Elsevier, vol. 222(C), pages 993-1022.
    13. 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.
    14. He, Kun & Wang, Li, 2017. "A review of energy use and energy-efficient technologies for the iron and steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1022-1039.
    15. Tang, Lixin & Liu, Guoli, 2007. "A mathematical programming model and solution for scheduling production orders in Shanghai Baoshan Iron and Steel Complex," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1453-1468, November.
    16. Chenyi Xu & Zhichun Liu & Shicheng Wang & Wei Liu, 2019. "Numerical Simulation and Optimization of Waste Heat Recovery in a Sinter Vertical Tank," Energies, MDPI, vol. 12(3), pages 1-19, January.
    17. Sen, Parag & Roy, Mousumi & Pal, Parimal, 2016. "Application of ARIMA for forecasting energy consumption and GHG emission: A case study of an Indian pig iron manufacturing organization," Energy, Elsevier, vol. 116(P1), pages 1031-1038.
    18. Lin, Boqiang & Du, Zhili, 2017. "Promoting energy conservation in China's metallurgy industry," Energy Policy, Elsevier, vol. 104(C), pages 285-294.
    19. Victor, Nadejda & Nichols, Christopher & Zelek, Charles, 2018. "The U.S. power sector decarbonization: Investigating technology options with MARKAL nine-region model," Energy Economics, Elsevier, vol. 73(C), pages 410-425.
    20. Hui Yang & Soundar Kumara & Satish T.S. Bukkapatnam & Fugee Tsung, 2019. "The internet of things for smart manufacturing: A review," IISE Transactions, Taylor & Francis Journals, vol. 51(11), pages 1190-1216, November.
    21. Paulus, Moritz & Borggrefe, Frieder, 2011. "The potential of demand-side management in energy-intensive industries for electricity markets in Germany," Applied Energy, Elsevier, vol. 88(2), pages 432-441, February.
    22. Nuytten, Thomas & Claessens, Bert & Paredis, Kristof & Van Bael, Johan & Six, Daan, 2013. "Flexibility of a combined heat and power system with thermal energy storage for district heating," Applied Energy, Elsevier, vol. 104(C), pages 583-591.
    23. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    24. Griffin, Paul W. & Hammond, Geoffrey P., 2019. "Industrial energy use and carbon emissions reduction in the iron and steel sector: A UK perspective," Applied Energy, Elsevier, vol. 249(C), pages 109-125.
    25. Zhao, Haitao & Jiang, Peng & Chen, Zhe & Ezeh, Collins I. & Hong, Yuanda & Guo, Yishan & Zheng, Chenghang & Džapo, Hrvoje & Gao, Xiang & Wu, Tao, 2019. "Improvement of fuel sources and energy products flexibility in coal power plants via energy-cyber-physical-systems approach," Applied Energy, Elsevier, vol. 254(C).
    26. Mousa, Elsayed & Wang, Chuan & Riesbeck, Johan & Larsson, Mikael, 2016. "Biomass applications in iron and steel industry: An overview of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1247-1266.
    27. Sun, Wenqiang & Wang, Zihao & Wang, Qiang, 2020. "Hybrid event-, mechanism- and data-driven prediction of blast furnace gas generation," Energy, Elsevier, vol. 199(C).
    28. Antonio Moreno & Christian Terwiesch, 2015. "Pricing and Production Flexibility: An Empirical Analysis of the U.S. Automotive Industry," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 428-444, October.
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