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Simulation, optimization and control of a thermal cracking furnace

Author

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  • Masoumi, M.E.
  • Sadrameli, S.M.
  • Towfighi, J.
  • Niaei, A.

Abstract

The ethylene production process is one of the most important aspect of a petrochemical plant and the cracking furnace is the heart of the process. Since, ethylene is one of the raw materials in the chemical industry and the market situation of not only the feed and the product, but also the utility is rapidly changing, the optimal operation and control of the plant is important. A mathematical model, which describes the static and dynamic operations of a pilot plant furnace, was developed. The static simulation was used to predict the steady-state profiles of temperature, pressure and products yield. The dynamic simulation of the process was used to predict the transient behavior of thermal cracking reactor. Using a dynamic programming technique, an optimal temperature profile was developed along the reactor. Performances of temperature control loop were tested for different controller parameters and disturbances. The results of the simulation were tested experimentally in a computer control pilot plant.

Suggested Citation

  • Masoumi, M.E. & Sadrameli, S.M. & Towfighi, J. & Niaei, A., 2006. "Simulation, optimization and control of a thermal cracking furnace," Energy, Elsevier, vol. 31(4), pages 516-527.
    • Handle: RePEc:eee:energy:v:31:y:2006:i:4:p:516-527
    DOI: 10.1016/j.energy.2005.04.005
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    Cited by:

    1. Mardan, Nawzad & Klahr, Roger, 2012. "Combining optimisation and simulation in an energy systems analysis of a Swedish iron foundry," Energy, Elsevier, vol. 44(1), pages 410-419.
    2. Jie Yang & Shaowen Lu & Liangyong Wang, 2020. "Fused magnesia manufacturing process: a survey," Journal of Intelligent Manufacturing, Springer, vol. 31(2), pages 327-350, February.
    3. Aline Pioli Silva & Juliana Otavia Bahú & Renato Soccol & Leonardo Rodríguez-Urrego & William Stive Fajardo-Moreno & Hiram Moya & Jeffrey León-Pulido & Víktor Oswaldo Cárdenas Concha, 2023. "Naphtha Characterization (PIONA, Density, Distillation Curve and Sulfur Content): An Origin Comparison," Energies, MDPI, vol. 16(8), pages 1-12, April.

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