Predictive Soave-Redlich-Kwong (PSRK): Difference between revisions
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Revision as of 23:25, 6 January 2016
Generic cubic equation of state
- <math> P = { { R T } \over { V - b } } - { { a(T) } \over { ( V + \epsilon b ) ( V + \sigma b ) } } </math>
Parameters for Soave-Redlich-Kwong equation are [1]:
- <math> \epsilon = 0</math> and <math> \sigma = 1</math>
Thus:
- <math> P = { { R T } \over { V - b } } - { { a(T) } \over { V ( V + b ) } } </math>
PSRK mixing rule for calculating a(T) and b
Cohesion pressure (attractive parameter) [2]:
- <math>a(T) = b RT \left( \sum x_i { {a_{ii}(T)} \over {b_i R T} } + { \frac{ { \frac{g_0^E}{R T} } + \sum x_i \ln \left( \frac{b}{b_i} \right) }{ \ln \left( \frac{u}{u + 1} \right)} } \right)</math>
with
- <math> u = 1.1 </math>,
- <math> a_{ii}(T) = \Psi \frac{ \alpha_i (T_{r,i}) R^2 T_{C,i}^2 }{ P_{C,i} } </math>, and
- <math> \Psi = 0.42748 </math>.
Excluded volume or "co-volume" (repulsive parameter):
<math> b = \sum x_i b_i </math>
where
- <math> b_i = \Omega { \frac{ RT_{C,i} }{ P_{C,i} } } </math>, and
- <math> \Omega = 0.08664 </math>
Different mixing rules can be applied and a list will be compiled here:
...
Mathias-Copeman equation
Fitting experimental data with Mathias-Copeman parameters <math> c_{1,i} </math>, <math> c_{2,i} </math> and <math> c_{3,i} </math>:
- <math> \alpha_i (T_{r,i}) = \left[ 1 + c_{1,i} \left(1 - \sqrt{T_{r,i}} \right) + c_{2,i} \left(1 - \sqrt{T_{r,i}} \right)^2 + c_{3,i} \left(1 - \sqrt{T_{r,i}} \right)^3 \right]^2 </math>
General form if no experimental data available:
- <math> c_{1,i} = 0.48 + 1.574 \omega_i - 0.176 \omega_i^2 </math>
- <math> c_{2,i} = 0 </math>
- <math> c_{3,i} = 0 </math>
Gibbs-Excess energy
<math> g^E = g_{c}^E + g_{r}^E</math>
<math> g_{c}^E = RT \sum x_i ln( {{\omega_i} \over {x_i}} ) </math>
<math> g_{r}^E = RT \sum x_i \frac{z}{2} q_i \ln \frac{\theta_{ii}}{\theta_i} </math>
<math> \Rightarrow g_{0}^E = R T_0 \sum x_i \left( \ln \frac{\omega_i}{x_i} + \frac{z}{2} + q_i \ln \frac{\theta_{ii}}{\theta_i} \right) </math>
modified UNIFAC
Molecular volume parameter for component i [3]:
<math> r_i = \sum_k \nu_k^{(i)} * R_k </math>
Molecular surface area parameter for component i:
<math> q_i = \sum_k \nu_k^{(i)} * Q_k </math>
where <math>\nu</math> is the number of the particular subgroups which a component i can be divided into. <math>R_k</math> is the volume parameter and <math>Q_k</math> the surface area parameter for subgroup k. <math>R_k</math> and <math>Q_k</math> are tabulated parameters and provided by the UNIFAC Consortium (http://unifac.ddbst.de/). Each subgroup can be assigned to a main group.
Modified volume fraction [Kikic et al.; 1980]:
<math> \omega_i = {{x_i * r_i^{2/3}} \over {\sum_j x_j * r_j^{2/3}}} </math>
Group mole fraction [4]:
<math> X_k = {{\sum_i \nu_k^{(i)} * x_i} \over {\sum_i \sum_l \nu_l^{(i)} * x_i}} </math>
Surface area fraction for component i in mixture:
<math> \theta_i = { {X_i * Q_i} \over {\sum_k X_k * Q_k} } </math>
Local surface area fraction for j around i:
<math> \theta_{ji} = { {\theta_j * \tau_{ji}} \over {\sum_m \theta_m * \tau_{mi}} } </math>
where
<math> \tau_{mi} = \Psi_{nm} </math>
and <math>\tau_{mi}</math> is the Boltzmann factor and can be calculated by transposing the main group interaction parameter matrix:
<math> \Psi_{nm} = exp(- { {a_{nm} + b_{nm}*T + c_{nm}*T^2} \over {T} }) </math>
<math>a_{nm}</math>, <math>b_{nm}</math> and <math>c_{nm}</math> are the binary interaction parameters representing the interaction between the main groups where the following applies:
<math> a_{nm} \ne a_{mn} </math>; <math> b_{nm} \ne b_{mn} </math>; <math> c_{nm} \ne c_{mn} </math>
The binary interaction parameters are also tabulated parameters and provided by the UNIFAC Consortium (http://unifac.ddbst.de/).
A Excel file written by Carl Lira (http://www.egr.msu.edu/~lira/) can help to understand UNIFAC calculations. Take a look at the ACTCOEFF.XLS file under http://www.egr.msu.edu/~lira/computer/EXCEL/. Beware of that not the modified UNIFAC method is applied in Lira's Excel sheet but the general UNIFAC method. PSRK relies on the modified UNIFAC method.
Procedure for calculating vapor-liquid equilibria (VLE) (phi-phi approach)
Equilibrium condition [5]:
<math> x_i * \varphi_i^L = y_i * \varphi_i^V </math>
Fugacity coefficient for component i in a mixture:
<math> ln \varphi_i = \frac{1}{R*T} \int_{\infty}^V [ \frac{RT}{V} - ( \frac{\partial P}{\partial n_i} )_{T, V, n_{j \ne i}} ] dV - ln z </math>
Fugacity coefficient for the liquid phase:
...
Fugacity coefficient for the vapor phase:
...
K-factor:
<math> K_i = { {y_i} \over {x_i} } = { {\varphi_i^L} \over {\varphi_i^V} } </math>
Sum of mole fractions:
<math> S = \sum y_i = \sum K_i * x_i </math>
Flow diagram for calculating isothermal VLE using PSRK:

References
- ↑ Perry's Chemical Engineers' Handbook; 8th Edition; Section 4-11
- ↑ Horstmann, Jabloniec, Krafczyk, Fischer, Gmehling; PSRK group contribution equation of state; Fluid Phase Equilibria 227 (2005) 157-164
- ↑ Larsen, Rasmussen, Fredenslund; A Modified UNIFAC Group-Contribution Model for Prediction of Phase Equilibria and Heats of Mixing; Ind. Eng. Chem. Res. 1987, 26 2274-2286
- ↑ Stephan, Schaber, Stephan, Mayinger: Thermodynamik. Grundlagen und technische Anwendungen: Band 2: Mehrstoffsysteme und chemische Reaktionen; Springer Verlag
- ↑ Gmehling, Kolbe, Kleiber, Rarey; Chemical Thermodynamics for Process Simulation; February 2012; Wiley
See also
Other cubic equations of state (EOS):