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An MILP model for optimization of byproduct gases in the integrated iron and steel plant

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  • Kong, Haining
  • Qi, Ershi
  • Li, Hui
  • Li, Gang
  • Zhang, Xing

Abstract

In iron and steel industry, byproduct gases are important energy. Therefore it is significant to optimize byproduct gas distribution to achieve total cost reduction. In this paper, a dynamic mixed integer linear programming (MILP) model for multi-period optimization of byproduct gases is used to optimize byproduct gas distribution. Compared with the previous optimization model, the proposed model simultaneously optimizes the distribution of byproduct gases in byproduct gas system, cogeneration system and iron- and steel-making system. Case study shows that the proposed model finds the optimal solution in terms of total cost reduction.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:appene:v:87:y:2010:i:7:p:2156-2163
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    References listed on IDEAS

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    1. Georgopoulou, Chariklia A. & Giannakoglou, Kyriakos C., 2009. "Two-level, two-objective evolutionary algorithms for solving unit commitment problems," Applied Energy, Elsevier, vol. 86(7-8), pages 1229-1239, July.
    2. Gopal P. Sinha & B. S. Chandrasekaran & Niloy Mitter & Goutam Dutta & Sudhir B. Singh & Aditya Roy Choudhury & P. N. Roy, 1995. "Strategic and Operational Management with Optimization at Tata Steel," Interfaces, INFORMS, vol. 25(1), pages 6-19, February.
    3. Delarue, Erik & D'haeseleer, William, 2008. "Adaptive mixed-integer programming unit commitment strategy for determining the value of forecasting," Applied Energy, Elsevier, vol. 85(4), pages 171-181, April.
    4. Ashok, S., 2006. "Peak-load management in steel plants," Applied Energy, Elsevier, vol. 83(5), pages 413-424, May.
    5. Thollander, Patrik & Mardan, Nawzad & Karlsson, Magnus, 2009. "Optimization as investment decision support in a Swedish medium-sized iron foundry - A move beyond traditional energy auditing," Applied Energy, Elsevier, vol. 86(4), pages 433-440, April.
    6. Cai, Y.P. & Huang, G.H. & Yang, Z.F. & Tan, Q., 2009. "Identification of optimal strategies for energy management systems planning under multiple uncertainties," Applied Energy, Elsevier, vol. 86(4), pages 480-495, April.
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