Prediction of vapor-Liquid equilibria of binary mixtures using quantum calculations and activity coefficient models
The VLE data P-x-y of two binary systems
methanol(1) - benzene(2) and toluene(1) -
chlorobenzene(2) at T = 333.15 K and T =
343.15 K obtained over the pressure ranges
from 0.4 to 0.7 bar and from 0.1 to 0.3 bar,
respectively.
For the three binary systems in this work the
VLE data resulting from COSMO-SAC
calculation were compared with experimental
data [11] as well as those from the models
Wilson and NRTL. This is illustrated in Figs 2,
3. The COSMO-SAC VLE data are very close to
experimental data. They agree also well with
those from models Wilson and NRTL. The
values of RMS error, the mean relative deviation
of pressure (MRDp) and mean deviation of vapor
composition (MDy) in table 1 are less than
0.087, 9.052 and 0.065, respectively. So the
discrepancies between models are insignificant.
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547
Journal of Chemistry, Vol. 47 (5), P. 547 - 551, 2009
PREDICTION OF VAPOR-LIQUID EQUILIBRIA OF BINARY
MIXTURES USING QUANTUM CALCULATIONS AND ACTIVITY
COEFFICIENT MODELS
Received 2 May 2008
PHAM VAN TAT
Department of Chemistry, University of Dalat
ABSTRACT
In this work, the conductor-like screening model COSMO-SAC (segment activity coefficient)
obatained from the density functional theory calculations DFT-VWN-BP with basis set DNP
(double numerical basis set augmented with polarization function). The molecular-single sigma
profiles were generated by using COSMO calculations. The vapor-liquid equilibria (VLE) for
three binary mixtures water(1) - ethanol(2), methanol(1) - benzene(2) and toluene(1) -
chlorobenzene(2) were calculated from these sigma profiles. The VLE data of these mixtures turn
out to be in good agreement with experimental data as far as such data resulting from the activity
coefficient models Wilson [1] and NRTL (non-random two-liquid) [2]. RMS error, mean relative
deviation of pressure (MRDp) and mean deviation of vapor composition (MDy) are less than
0.087, 9.052 and 0.065, respectively.
Keywords: Vapor-liquid equilibria, conductor-like screening model COSMO-SAC.
I - INTRODUCTION
Prediction of vapor-liquid equilibria is a
important goal in physical chemistry and
chemical engineering. Reliable information of
vapor-liquid equilibria is most decisive for
developing the usual liquid fuels. The
experimental measurement of VLE can be
expensive and sometimes highly challenging in
several industrial applications. Recent years,
trustworthy theoretical methods based on ab
initio quantum calculations [3, 4] and Gibbs
ensemble Monte Carlo simulation technique [5,
6] are thus very desirable. The theoretical
methods conductor-like screening model for real
solvents COSMO-RS proposed by Klamt et al.
[3] and the conductor-like screening model
COSMO-SAC (segment activity coefficient)
developed by Lin et al. [4] were used for
prediction of vapor-liquid and liquid-liquid
equilibria and solubility property of binary,
ternary and multicomponent systems.
This work reports the prediction of vapor-
liquid equilibria for binary mixtures by using
conductor-like screening model COSMO-SAC
and activity coefficient models Wilson and
NRTL. The single-molecule sigma profiles
water, ethanol, methanol, benzene, toluene and
chlorobenzene are calculated from quantum
computations DFT-VWN-BP with basis set
DNP. These in turn are used to predict VLE data
of binary mixtures water(1) - ethanol(2),
methanol(1) - benzene(2) and toluene(1) -
chlorobenzene(2). The VLE of them are
compared with experimental data and those
from models Wilson and NRTL.
II - COMPUTATIONAL DETAILS
1. Cosmo-based thermodynamic model
The COSMO-based model is the “solvent-
548
accessible surface” of a solute molecule [3, 4].
The activity coefficients resulting from Eq.1
developed by Lin and Sandler [4]:
SG
/
res*
/
res*
/
/ lnln Si
iiSi
si RT
GG γγ +Δ−Δ= (1)
Where *res/ SiGΔ and *res/ iiGΔ free energy of
restoring the charges around the solute molecule
in a solution and the charges in a pure
liquid; SG/ Siγ the Staverman-Gugenheim term.
The screening charge densities are derived
from COSMO calculations. These new surface-
charge densities (ã) of the single molecules are
given by the following equation [3, 4]:
∑
∑
⎟⎟⎠
⎞
⎜⎜⎝
⎛
+−+
⎟⎟⎠
⎞
⎜⎜⎝
⎛
+−+=
n avn
mn
avn
avn
n avn
mn
avn
avn
n
m
rr
d
rr
rr
rr
d
rr
rr
22
2
22
22
22
2
22
22
*
exp
expσ
σ (2)
Where σm the average surface-charge density on
segment m; the summation is over n segments;
rn the radius of the actual surface segment; rav
the average radius and dmn the distance between
the two segments.
2. Activity coefficient model
The model NRTL was developed by Renon
and Prausnitz [2] to improve on the Wilson
equation [1]. The activity coefficients of binary
mixtures are calculated by the equation:
⎟⎟
⎟⎟
⎠
⎞
⎜⎜
⎜⎜
⎝
⎛
−+=
∑
∑∑∑∑
∑
N
k
kkj
N
k
kjkjk
ij
N
j
N
k
kkj
ijj
k
N
k
ki
N
j
jjiji
i
xG
Gx
xG
Gx
xG
xG τ
τ
τ
γln (3)
Where ;)ln(/ TDTCTBA jijijijiji +++=τ )exp( jijijiG τα−= and αij = αji the adjustable and
system-specific parameters.
3. Calculation of vapor-liquid equilibria
The vapor-liquid equilibria of binary
mixtures are generated by using the molecular
activity coefficients. The vapor mole fractions yi
are calculated by using the relations [3, 4]:
22
0
211
0
1
0 )2,1(/
γγ
γ
xpxpp
ipxpy
tot
tot
iiii
+=
==
(4)
Where 0ip the vapor pressures of pure
component at given temperature; xi the mole
fractions of the compounds in the liquid phase;
·i the activity coefficient of the compound i.
The RMS error calculations can be carried
out using the equation:
2
exp
1
1 ( )
n
calRMS y yn
= −∑ (5)
Here n the number of data points; ycal the
calculated vapor fraction from COSMO-SAC.
The mean relative deviation of pressure
(MRDp) and mean deviations of vapor
composition (MDy) are given in the equations:
( )
( )
, ,exp ,exp
, ,exp
,% (100 / )
(1/ )
n
p i cal i i
i
n
y i cal i
i
MRD n p p p
MD n y y
= −
= −
∑
∑
(6)
III - RESULTS AND DISCUSSION
1. Computation of Sigma Profiles
The molecular structures were carried out to
optimize with the density functional theory
(DFT) at the level of theory GGA/VWN-BP
with basis set DNP (Double Numerical basis
with Polarization functions) [7, 9, 10]. The
surface screening charge densities surrounding
the molecule are generated from an energy
549
calculation DFT VWN-BP/DNP. The single-
molecule sigma profiles were resulted from
these surface charge densities, as depicted in Fig
1.
Figure 1: Sigma profiles for the single molecules
2. Vapor-liquid equilibria
The vapor-liquid equilibria for mixture ethanol(1) - water(2) at P = 1.01325 bar was
obtained using the relations (4) over a temperature range 350 K to 370 K as shown in Fig 2.
Figure 2: VLE diagram T-x-y of mixture ethanol(1) - water(2) at P = 1.01325 bar; #: experimental
data [11]; —: COSMO-SAC; – – – : model Wilson; #####: NRTL.
The VLE data P-x-y of two binary systems
methanol(1) - benzene(2) and toluene(1) -
chlorobenzene(2) at T = 333.15 K and T =
343.15 K obtained over the pressure ranges
from 0.4 to 0.7 bar and from 0.1 to 0.3 bar,
respectively.
For the three binary systems in this work the
VLE data resulting from COSMO-SAC
calculation were compared with experimental
data [11] as well as those from the models
Wilson and NRTL. This is illustrated in Figs 2,
3. The COSMO-SAC VLE data are very close to
-0.016 -0.006 0.004 0.014 0.024
0
5
10
15
20
Si
gm
a
Pr
of
ile
, P
(σ)
*A
i(Å
2 )
Screening Charge Density, σ(e/Å2)
C6H6
C6H5CH3
CH3OH
C2H5OH
C6H5Cl
H2O
0.0 0.2 0.4 0.6 0.8 1.0
350
355
360
365
370
T/
K
x1, y1
550
experimental data. They agree also well with
those from models Wilson and NRTL. The
values of RMS error, the mean relative deviation
of pressure (MRDp) and mean deviation of vapor
composition (MDy) in table 1 are less than
0.087, 9.052 and 0.065, respectively. So the
discrepancies between models are insignificant.
Figure 3: VLE diagram P-x-y of mixtures: a) methanol(1) - benzene(2) at T = 333.15 K and
b) toluene(1) - chlorobenzene(2) at T = 343.15 K; for an explanation see Fig. 2.
Table 1: Comparison between the values RMS, MRDp and MDy of the models
NRTL Wilson COSMO-SAC
RMS MRDp, % MDy RMS MRDp, % MDy RMS MRDp, % MDy
ethanol(1) + water(2) at P = 1.01325 bar
0.013 6.021 0.013 0.011 5.045 0.045 0.005 7.865 0.01
methanol(1) + benzene(2) at T = 333.15 K
0.017 5.987 0.007 0.015 6.965 0.065 0.087 9.052 0.03
toluene(1) + chlorobenzene(2) at T = 343.15 K
0.014 8.753 0.034 0.043 7.132 0.021 0.032 8.343 0.05
IV - CONCLUSIONS
We conclude that the molecular-single
sigma profiles water, ethanol, methanol,
benzene, toluene and chlorobenzene obtained
from quantum calculations are reliable. The
activity coefficients of them were calculated
from accurately the sigma profiles. The vapor-
liquid equilibria of the binary systems water(1) -
ethanol(2), methanol(1) - benzene(2) and
toluene(1) - chlorobenzene(2) resulting from
model COSMO-SAC turn out to be in good
agreement with experimental data and those
from models Wilson and NRTL. These are
pointed out in the RMS error, the relative
deviations MRDp and MDy.
Acknowledgments: We would like to thank
Prof. Dr. Y. A. Liu (University of Delaware,
USA) for making available their programs in
code FORTRAN and providing Sigma Profiles
Databases.
0.0 0.2 0.4 0.6 0.8 1.0
0.3
0.6
0.9
P/
b
ar
x1, y1
0.0 0.2 0.4 0.6 0.8 1.0
0.1
0.2
0.3
P/
b
ar
x1, y1
a) b)
551
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130, (1964).
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approach to dielectric screening in solvents
with explicit expressions for the screening
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Equilibrium Prediction from a Segment
Contribution Solvation Model, Ind. Eng.
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6. K. Leonhard and U. K. Deiters, Mol. Phys.,
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(1986).
11. NIST Chemistry databases:
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