MARGULES

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CHEE 311 Lecture 17 1 Excess Gibbs Energy Models Purpose of this lecture : To introduce some popular empirical models (Margules, van Laar) that can be used toward the calculation of activity coefficients in binary mixtures Highlights The Margules and van Laar (see Lecture 18) are two-parameter excess Gibbs energy models of empirical nature They are derived by expressing G E /RT x 1 x 2 in a power series form They are applicable to binary mixtures They neglect the effect of pressure; this limits their applicability in the range of low to moderate P Reading assignment : Sections 12.1 and 12.2

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Transcript of MARGULES

Page 1: MARGULES

CHEE 311 Lecture 17 1

Excess Gibbs Energy Models

Purpose of this lecture:

To introduce some popular empirical models (Margules, van Laar) that can be used toward the calculation of activity coefficients in binary mixtures

Highlights

• The Margules and van Laar (see Lecture 18) are two-parameter excess Gibbs energy models of empirical nature• They are derived by expressing GE/RT x1 x2 in a power series form • They are applicable to binary mixtures• They neglect the effect of pressure; this limits their applicability in the range of low to moderate P

Reading assignment: Sections 12.1 and 12.2

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CHEE 311 Lecture 17 2

Excess Gibbs Energy ModelsPracticing engineers find most of the liquid-phase information needed for equilibrium calculations in the form of excess Gibbs Energy models. These models:

reduce vast quantities of experimental data into a few empirical parameters,provide information an equation format that can be used in thermodynamic simulation packages (Provision)

“Simple” empirical modelsSymmetric, Margules, van LaarNo fundamental basis but easy to useParameters apply to a given temperature, and the models usually cannot be extended beyond binary systems.

Local composition modelsWilson, NRTL, UniquacSome fundamental basisParameters are temperature dependent, and multi-component behaviour can be predicted from binary data.

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CHEE 311 Lecture 17 3

Excess Gibbs Energy ModelsOur objectives are to learn how to fit Excess Gibbs Energy models to experimental data, and to learn how to use these models to calculate activity coefficients.

⎟⎟⎠

⎞⎜⎜⎝

⎛=γ sat

11

11 Px

Pylnln

⎟⎟⎠

⎞⎜⎜⎝

⎛=γ sat

22

22 Px

Pylnln

2211E lnxlnxRT/G γ+γ=

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CHEE 311 Lecture 17 4

Margules’ EquationsWhile the simplest Redlich/Kister-type expansion is the Symmetric Equation, a more accurate model is the Margule’s expression:

(12.9a)

Note that as x1 goes to zero,

and from L’hopital’s rule we know:

therefore,

and similarly

21212121

ExAxA

xRTxG

+=

→γ= 1

210xln

xRTxG

limE

1

120x21

E

AxRTx

G

1

=→

∞γ= 112 lnA ∞γ= 221 lnA

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CHEE 311 Lecture 17 5

Margules’ EquationsIf you have Margules parameters, the activity coefficients are easily derived from the excess Gibbs energy expression:

(12.9a)

to yield:

(12.10ab)

These empirical equations are widely used to describe binary solutions. A knowledge of A12 and A21 at the given T is all we require to calculate activity coefficients for a given solution composition.

21212121

ExAxA

xRTxG

+=

]x)AA(2A[xln 1122112221 −+=γ

]x)AA(2A[xln 2211221212 −+=γ

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CHEE 311 Lecture 17 6

Example 1You desire to separate an equimolar binary mixture of n-pentane (1) and acetone (2) by feeding it into a flash drum that operates at T=24 oC and P=50 kPa. Using information provided below, determine whether or not separation of the mixture can be accomplished under these operating conditions.

- DewP = 45 kPa (at T= 24 oC) - P1

sat(24 oC )=65.0 kPa; P2sat(24 oC )=31.0 kPa

- Reduced experimental P-x-y data for this mixture (GE/RTx1x2 vs. x1) are given in Figure 1. - The activity coefficients can be calculated from the Margules model - Due to low pressures involved, you can assume here that all fugacity coefficients and Poynting

factors are equal to one.

P-x-y data for the mixture n-pentane (1)/acetone (2)