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Related Experiment Videos

A Thermodynamically Consistent Langmuir Model for Mixed Gas Adsorption.

Runsheng Bai1, Ralph T. Yang

  • 1I NET, Tsinghua University, Beijing, 102201, People's Republic of China

Journal of Colloid and Interface Science
|June 28, 2001
PubMed
Summary

A new multiregion, extended Langmuir model (MREL) accurately predicts multicomponent adsorption equilibria. This advanced model improves upon the extended Langmuir model, especially for nonideal systems.

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Area of Science:

  • Chemical Engineering
  • Physical Chemistry
  • Surface Science

Background:

  • Predicting multicomponent adsorption equilibria is crucial for chemical processes.
  • Existing models like the extended Langmuir (EL) model have limitations, particularly for nonideal mixtures.

Purpose of the Study:

  • To propose a novel multiregion, extended Langmuir model (MREL) for enhanced prediction of multicomponent adsorption equilibria.
  • To demonstrate the MREL model's capability in handling complex adsorption behaviors, including azeotropic phenomena.

Main Methods:

  • Developed the multiregion, extended Langmuir (MREL) model based on assumptions of distinct adsorption regions with varying species accessibility.
  • Extended the model to handle multicomponent mixtures by summing adsorption contributions from each region.

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  • Utilized only the two parameters of the Langmuir isotherm for each pure component.

    • Main Results:

    • The MREL model showed significant improvements over the EL model in predicting adsorption equilibria for eight binary and one ternary system.
    • The model successfully predicted the azeotropic behavior observed in highly nonideal systems.
    • MREL demonstrated computational simplicity comparable to the EL model.

    Conclusions:

    • The MREL model offers a thermodynamically consistent and accurate approach for predicting multicomponent adsorption equilibria.
    • It provides a valuable tool for optimizing separation processes involving complex mixtures.
    • The model's ability to predict nonideal behavior, including azeotropes, enhances its practical applicability.