Excess Gibbs Energy Models Purpose of this lecture: To introduce some popular empirical models (Margules, van Laar) that can be used for activity coefficients in binary mixtures Highlights • Margules and van Laar equations (Lecture 18) are simple correlations to obtain activity coefficients. • They are derived by assuming GE/RT x1 x2 follows a polynomial • They only work for binary mixtures Reading assignment: Sections 12.1 and 12.2 CHEE 311 Lecture 17 1 Excess Gibbs Energy Models Practicing engineers usually get information about activity coefficients from correlations obtained by making assumptions about excess Gibbs Energy. These correlations: 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, Unisym, Aspen) Simple empirical correlations Symmetric, Margules, van Laar No fundamental basis but easy to use Parameters apply to a given temperature, and the models usually cannot be extended beyond binary systems. Local composition models Wilson, NRTL, Uniquac Some fundamental basis Parameters are temperature dependent, and multicomponent behaviour can be predicted from binary data. CHEE 311 Lecture 17 2 Excess Gibbs Energy Models Our 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. yP ln 1 ln 1 sat x1P1 y P ln 2 ln 2 sat x 2P2 GE / RT x1 ln 1 x 2 ln 2 CHEE 311 Lecture 17 3 Margules’ Equations While the simplest Redlich/Kister-type correlation is the Symmetric Equation, but a more accurate equation is the Margules correlation: GE A 21x1 A12 x 2 (12.9a) RTx 1x 2 Note that as x1 goes to zero, GE RTx1x 2 A 12 x1 0 Also, E G ln lim 1 RTx x x10 1 2 so that A12 ln 1 CHEE 311 and similarly Lecture 17 A 21 ln 2 4 Margules’ Equations If you have Margules parameters, the activity coefficients can be derived from the excess Gibbs energy expression: GE A 21x1 A12 x 2 (12.9a) RTx 1x 2 to yield: ln 1 x 22 [ A12 2( A 21 A12 )x1] (12.10ab) ln 2 x12 [ A 21 2( A12 A 21)x 2 ] 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. CHEE 311 Lecture 17 5 Example 1 You desire to separate an equimolar binary mixture of n-pentane (1) and acetone (2) by feeding it You desire to separate an equimolar binary mixture of n-pentane (1) and acetone into a flash drum that operates at T=24 oC and kPa.thatUsing provided below, into aP=50 flash drum operatesinformation at T=24 oC and P=50 kPa. Using information prov determine whether not separation of theunder mixturethese can be operating accomplished under th determine whether or not separation of the mixture can beoraccomplished conditions. conditions. - DewP = 45 kPa (at T= 24 oC) sat o sat o - P1 (24 C )=65.0 kPa; P2 (24 C )=31.0 kPa - DewP = 45 kPa (at T= 24 oC) - Reduced experimental P-x-y data for this mixture (GE/RTx1x2 vs. x1) are given - The activity coefficients can be calculated from the Margules model - P1sat(24 oC )=65.0 kPa; P2sat(24 oC )=31.0 kPa - Due to low pressures involved, you can assume here that all fugacity coefficien E - Reduced experimental P-x-y data for this mixture (G /RTx factors are equal to one. 1x2 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. CHEE 311 Lecture 17 6 (1)/acetone (2) Figure 1: Reduced P-x-y data for the mixture n-pentane