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17.6: The Stability Criteria

  • Page ID
    577
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    Interestingly enough, one of the most difficult aspects of making VLE calculations may not be the two-phase splitting calculation itself, but knowing whether or not a mixture will actually split into two (or even more) phases for a pressure and temperature condition.

    A single-phase detection routine has to be simultaneously introduced at this stage to detect whether the system is in a true single-phase condition at the given pressure and temperature or whether it will actually split into two-phases. Several approaches may be used here: the Bring-Back technique outlined by Risnes et al. (1981), and Phase Stability Criteria introduced by Michelsen (1982), among others. Here we describe Michelsen’s stability test.

    Michelsen (1982) suggested creating a second-phase inside any given mixture to verify whether such a system is stable or not. It is the same idea behind the Bring-Back procedure (Risnes et al., 1981), but this test additionally provides straightforward interpretation for the cases where trivial solutions are found
    (Ki’s —> 1). The test must be performed in two parts, considering two possibilities: the second phase can be either vapor-like or liquid-like. The outline of the method is described below, following the approach presented by Whitson and Brule (2000).

    1. Calculate the mixture fugacity (fzi) using overall composition zi.
    2. Create a vapor-like second phase,
      1. Use Wilson’s correlation to obtain initial Ki-values.
      2. Calculate second-phase mole numbers, Yi:

        \[Y_i=z_i K_i \nonumber \]
      3. Obtain the sum of the mole numbers

        \[S_v=\sum_i^n Y_i \nonumber \]

      4. Normalize the second-phase mole numbers to get mole fractions:

        \[y_i=\dfrac{Y_i}{S_v} \nonumber \]

      5. Calculate the second-phase fugacity ( \(\mathrm{f}_{\mathrm{y}}\) ) using the corresponding EOS and the previous composition.

      6. Calculate corrections for the K-values:

        \[\begin{array}{c}
        R_i=\dfrac{f_{x i}}{f_{y i}} \dfrac{1}{S_v} \\[6pt]
        K_i^{(n+1)}=K_i^{(n)} R_i
        \end{array}
        \nonumber \]

        g. Check if:
               i. Convergence is achieved:

              \[\sum_i^n\left(R_i-1\right)^2<1 \cdot 10^{-10} \nonumber \]

              ii.   A trivial solution is approached:

        \[\sum_i^n\left(\ln K_i\right)^2<1 \cdot 10^{-4} \nonumber \]

             If a trivial solution is approached, stop the procedure.

              If convergence has not been attained, use the new K-values and go back to step (b).

    3. Create a liquid-like second phase,

      Follow the previous steps by replacing equations (17.15), (17.16), (17.17), and (17.18) by (17.22), (17.23), (17.24), and (17.25) respectively.

      \[\begin{array}{c}
      Y_i=z_i / K_i \\[6pt]
      S_L=\sum_i^n Y_i \\[6pt]
      x_i=\dfrac{Y_i}{S_L} \\[6pt]
      R_i=\dfrac{f_{x i}}{f_{z i}} S_L
      \end{array} \nonumber \]

    The interpretation of the results of this method follows:

    • The mixture is stable (single-phase condition prevails) if:
      • Both tests yield S < 1 (SL < 1 and SV < 1),
      • Or both tests converge to trivial solution,
      • Or one test converges to trivial solution and the other gives S < 1.
    • Only one test indicating S > 1 is sufficient to determine that the mixture is unstable and that the two-phase condition prevails. The same conclusion is made if both tests give S > 1, or if one of the tests converges to the trivial solution and the other gives S > 1.

    This page titled 17.6: The Stability Criteria is shared under a CC BY-NC-SA 4.0 license and was authored, remixed, and/or curated by Michael Adewumi (John A. Dutton: e-Education Institute) via source content that was edited to the style and standards of the LibreTexts platform.