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An improved plant-wide multiperiod optimization model of a byproduct gas supply system in the iron and steel-making process

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  • de Oliveira Junior, Valter B.
  • Pena, João G. Coelho
  • Salles, José L. Félix

Abstract

In an integrated steel mill, the byproduct gases of steel production processes can be recovered as fuel for the plant itself and can be used to generate electricity and steam in power plants. This work addresses the development of a mixed integer linear programming (MILP) model to solve the problem of byproduct fuel distribution, with the goal of maximizing energy utilization. Improvements are made in the formulation of the model and a heuristic procedure is proposed to assign appropriate weights to the objective function penalties, resulting in an increase in the operational performance of the fuel distribution system. Through case studies, a comparison is performed among a previous MILP-based optimization model found in the literature, the improved one proposed in this work and the real-world behavior of a fuel distribution system run by the operators without the aid of a computational tool.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:appene:v:164:y:2016:i:c:p:462-474
    DOI: 10.1016/j.apenergy.2015.11.043
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    References listed on IDEAS

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    Cited by:

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    3. Sergio García García & Vicente Rodríguez Montequín & Henar Morán Palacios & Adriano Mones Bayo, 2020. "A Mixed Integer Linear Programming Model for the Optimization of Steel Waste Gases in Cogeneration: A Combined Coke Oven and Converter Gas Case Study," Energies, MDPI, vol. 13(15), pages 1-25, July.
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    6. 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).
    7. Xueying Sun & Zhuo Wang & Jingtao Hu, 2018. "Fuzzy Byproduct Gas Scheduling in the Steel Plant Considering Uncertainty and Risk Analysis," Energies, MDPI, vol. 11(10), pages 1-14, October.
    8. 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.
    9. Xia Wang & Lijun Zhang & Yaochen Qin & Jingfei Zhang, 2020. "Analysis of China’s Manufacturing Industry Carbon Lock-In and Its Influencing Factors," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
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