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Optimization of the Countercurrent Continuous Reforming Process Based on Equation-Oriented Modeling and the SQP

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This study developed a steady-state model for countercurrent continuous reforming, optimizing catalyst activity for better yields. The model accurately simulates industrial processes for real-time optimization and increased profits.

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Area of Science:

  • Petroleum Refining
  • Chemical Engineering
  • Process Modeling

Background:

  • Catalytic reforming is crucial for petroleum and petrochemical industries.
  • Countercurrent continuous reforming introduces a novel approach to match catalyst activity with reaction difficulty.

Purpose of the Study:

  • To establish a steady-state model for the reactor-regenerator section of countercurrent continuous reforming.
  • To ensure the model meets real-time optimization (RTO) requirements.
  • To optimize the process for various objectives like aromatic yield and gasoline production.

Main Methods:

  • Developed an equation-oriented steady-state model including reactor, regenerator, compressor, heat exchanger, furnace, and oil property modules.
  • Connected modules based on the actual technological process.
  • Utilized the sequential quadratic programming (SQP) algorithm for calculations and calibrated the model against actual data.

Main Results:

  • The model accurately simulates the reforming reaction trends and highlights differences between countercurrent and cocurrent reforming.
  • Model calibration enhanced the consistency between calculated and actual values.
  • Optimization of the process model yielded significant improvements for different objectives.

Conclusions:

  • The established model effectively simulates industrial countercurrent continuous reforming processes.
  • The model is suitable for real-time optimization (RTO) applications.
  • The model provides a valuable tool for maximizing profits by optimizing for specific product yields.