The Effects of Physical Property Estimation on Packed Column Distillation Simulation with a Rate-based Mode

  • Authors

    • Young Sei Lee
    • Hideki Mori
    • Kiyoung Lee
    • Joon Man Lee
    2018-12-13
    https://doi.org/10.14419/ijet.v7i4.39.23688
  • Distillation, Rate-based model, Activity coefficient, Thermodynamic factor, Excess molar volume

  • Background/Objectives: we investigate the effects of estimation models for physical properties on the rate-based simulation and discuss what we should be aware of for obtaining better simulation results.

    Methods/Statistical analysis: Three kinds of physical property models considered are an activity coefficient, a thermodynamic factor, and a liquid excess molar volume. We use experimental data obtained from a pilot-scale plant for comparison with numerical examples. We investigate the effects of estimation models for physical properties on the rate-based simulation and discuss what we should be aware of for obtaining better simulation results.

    Findings: The thermodynamic factor models do not affect largely the simulation results in the distillation simulation where the mass transfer resistance of the vapor phase film is dominant.

    The liquid excess molar volume of the ternary mixture of Methanol, Ethanol, and Water shows at most 3% deviations from the averaged molar volume. It affects the simulation results markedly where the composition of the liquid mixture passes through the region of the large excess molar volume.

    Improvements/Applications: The simulation results indicate that even small difference in continuous operation becomes much pronounced in batch operation with multicomponent systems.

     

     

  • References

    1. [1] Krishnamurthy, R., & Taylor, R.(1985a). A Nonequilibrium Stage Model of Multicomponent Separation Process I - Model Description and Method of Solution. AIChE Journal, 31, 449-456.

      [2] Krishnamurthy, R., & Taylor, R. (1985d). Simulation of Packed Distillation and Absorption Columns. IEC Proc. Des. Dev., 24, 513-524.

      [3] Gmehling, J., & Onken, U.(1977). Vapor-Liquid Equilibrium Data Collection, DECHMAChemistry Data Series, DECHEMA, Vol.1, part 1, 562.

      [4] Gmehling, J., Li, J., & Schiller, M.(1993). A Modified UNIFAC Model. 2. Present Parameter Matrix and Results for Different Thermodynamic Properties. Industrial & Engineering Chemistry Research, 32, 178-193.

      [5] Taylor, R., & Kooijman, H. A.(1991).Composition Derivative of Activity Coefficient Models (For the Estimation of Thermodynamic Factors in Diffusion. Chemical EngineeringCommunications,102, 87-106.

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  • How to Cite

    Sei Lee, Y., Mori, H., Lee, K., & Man Lee, J. (2018). The Effects of Physical Property Estimation on Packed Column Distillation Simulation with a Rate-based Mode. International Journal of Engineering & Technology, 7(4.39), 10-13. https://doi.org/10.14419/ijet.v7i4.39.23688