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PSRK

PSRK (short for Predictive Soave–Redlich–Kwong)[1] is an estimation method for the calculation of phase equilibria of mixtures of chemical components. The original goal for the development of this method was to enable the estimation of properties of mixtures containing supercritical components. This class of substances cannot be predicted with established models, for example UNIFAC.

Principle edit

PSRK is a group-contribution equation of state. This is a class of prediction methods that combines equations of state (mostly cubic) with activity coefficient models based on group contributions, such as UNIFAC. The activity coefficient model is used to adapt the equation-of-state parameters for mixtures by a so-called mixing rule.

The use of an equation of state introduces all thermodynamic relations defined for equations of state into the PRSK model. This allows the calculation of densities, enthalpies, heat capacities, and other properties.

Equations edit

As stated previously, the PSRK model is based on a combination of the Soave–Redlich–Kwong equation of state with a mixing rule whose parameters are determined by the UNIFAC method.

Equation of state edit

The equation of state of Soave is defined as follows:

 

The original α-function has been replaced by the function of Mathias–Copeman:[2]

 

The parameters of the Mathias–Copeman equation are fitted to experimental vapor-pressure data of pure components and provide a better description of the vapor pressure than the original relation. The form of the equation is chosen as it can be reduced to the original Soave form by setting the parameters c2 and c3 to zero. Additionally, the parameter c1 can be obtained from the acentric factor, using the relation

 

This may be performed if no fitted Mathias–Copeman parameter is available.

Mixing rule edit

The PSRK mixing rule calculates the parameters a and b of the equation of state by

 

and

 

where the parameters ai and bi are those of the pure substances, their mole fractions are given by xi, and the excess Gibbs energy by gE. The excess Gibbs energy is calculated by a slightly modified UNIFAC model.

Model parameters edit

For the equation of state PSRK needs the critical temperature and pressure, additionally at a minimum the acentric factor for all pure components in the considered mixture is also required.

The integrity of the model can be improved if the acentric factor is replaced by Mathias–Copeman constants fitted to experimental vapor-pressure data of pure components.

The mixing rule uses UNIFAC, which needs a variety of UNIFAC-specific parameters. Aside from some model constants, the most important parameters are the group-interaction parameters — these are obtained from parametric fits to experimental vapor–liquid equilibria of mixtures.

Hence, for high-quality model parameters, experimental data (pure-component vapor pressures and VLE of mixtures) are needed. These are normally provided by factual data banks, like the Dortmund Data Bank, which has been the base for the PSRK development. In few cases additionally needed data have been determined experimentally if no data have been available from other sources.

The latest available parameters have been published in 2005.[3] The further development is now taken over by the UNIFAC Consortium.

Example calculation edit

 
Vapor–liquid equilibrium of cyclohexane and carbon dioxide

The prediction of a vapor–liquid equilibrium is successful even in mixtures containing supercritical components. However, the mixture has to be subcritical. In the given example carbon dioxide is the supercritical component with Tc = 304.19 K[4] and Pc = 7475 kPa.[5] The critical point of the mixture lies at T = 411 K and P ≈ 15000 kPa. The composition of the mixture is near 78 mole% carbon dioxide and 22 mole% cyclohexane.

PSRK describes this binary mixture quite well, the dew point curve, as well as the bubble point curve and the critical point of the mixture.

Model weaknesses edit

In a PSRK follow-up work[6] (VTPR) some model weaknesses are quoted:

  • The gradient of the Mathias–Copeman α-function is without any thermodynamic background and, if extrapolated to higher temperatures, the described vapor-pressure curve tends to diverge.
  • The Soave–Redlich–Kwong equation of state describes the vapor densities of pure components and mixtures quite well, but the deviations of the liquid-density prediction are high.
  • For the VLE prediction of mixtures with components that have very differing sizes (e. g. ethanol, C2H6O, and eicosane, C20H42) larger systematic errors are found.
  • Heats of mixing and activity coefficients at infinite dilution are predicted poorly.

Literature edit

  1. ^ Holderbaum T., “Die Vorausberechnung von Dampf-Flüssig-Gleichgewichten mit einer Gruppenbeitragszustandsgleichung”, Fortschrittsber. VDI Reihe 3, 243, 1–154, 1991.
  2. ^ Mathias P. M., Copeman T. W., “Extension of the Peng-Robinson Equation of State to Complex Mixtures: Evaluation of the Various Forms of the Local Composition Concept”, Fluid Phase Equilib., 13, 91–108, 1983. ISSN 0378-3812, doi:10.1016/0378-3812(83)80084-3.
  3. ^ Horstmann S., Jabloniec A., Krafczyk J., Fischer K., Gmehling J., “PSRK Group Contribution Equation of State: Comprehensive Revision and Extension IV, Including Critical Constants and α-Function Parameters for 1000 Components”, Fluid Phase Equilib., 227(2), 157–164, 2005.
  4. ^ Ambrose D., Trans. Faraday Soc., 52, 772-781, 1956. ISSN 0014-7672, doi:10.1039/TF9565200772.
  5. ^ Schmidt E., Thomas W., Forsch. Geb. Ingenieurwes. Ausg. A, 20, 161–170, 1954.
  6. ^ Ahlers J., “Entwicklung einer universellen Gruppenbeitragszustandsgleichung”, Thesis, Carl-von-Ossietzky-Universität Oldenburg, 1–144, 2003.

External links edit

psrk, short, predictive, soave, redlich, kwong, estimation, method, calculation, phase, equilibria, mixtures, chemical, components, original, goal, development, this, method, enable, estimation, properties, mixtures, containing, supercritical, components, this. PSRK short for Predictive Soave Redlich Kwong 1 is an estimation method for the calculation of phase equilibria of mixtures of chemical components The original goal for the development of this method was to enable the estimation of properties of mixtures containing supercritical components This class of substances cannot be predicted with established models for example UNIFAC Contents 1 Principle 2 Equations 2 1 Equation of state 2 2 Mixing rule 3 Model parameters 4 Example calculation 5 Model weaknesses 6 Literature 7 External linksPrinciple editPSRK is a group contribution equation of state This is a class of prediction methods that combines equations of state mostly cubic with activity coefficient models based on group contributions such as UNIFAC The activity coefficient model is used to adapt the equation of state parameters for mixtures by a so called mixing rule The use of an equation of state introduces all thermodynamic relations defined for equations of state into the PRSK model This allows the calculation of densities enthalpies heat capacities and other properties Equations editAs stated previously the PSRK model is based on a combination of the Soave Redlich Kwong equation of state with a mixing rule whose parameters are determined by the UNIFAC method Equation of state edit The equation of state of Soave is defined as follows P R T v b a a T v v b displaystyle P frac RT v b frac a alpha T v v b nbsp The original a function has been replaced by the function of Mathias Copeman 2 a T r 1 c 1 1 T r c 2 1 T r 2 c 3 1 T r 3 2 displaystyle alpha T r left 1 c 1 left 1 sqrt T r right c 2 left 1 sqrt T r right 2 c 3 left 1 sqrt T r right 3 right 2 nbsp The parameters of the Mathias Copeman equation are fitted to experimental vapor pressure data of pure components and provide a better description of the vapor pressure than the original relation The form of the equation is chosen as it can be reduced to the original Soave form by setting the parameters c2 and c3 to zero Additionally the parameter c1 can be obtained from the acentric factor using the relation c 1 0 48 1 574 w 0 176 w 2 displaystyle c 1 0 48 1 574 omega 0 176 omega 2 nbsp This may be performed if no fitted Mathias Copeman parameter is available Mixing rule edit The PSRK mixing rule calculates the parameters a and b of the equation of state by a b R T i x i a i b i R T g 0 E R T x i ln b b i 0 64663 displaystyle frac a bRT sum i x i frac a i b i RT frac frac g 0 E RT sum x i ln frac b b i 0 64663 nbsp and b i x i b i displaystyle b sum i x i b i nbsp where the parameters ai and bi are those of the pure substances their mole fractions are given by xi and the excess Gibbs energy by gE The excess Gibbs energy is calculated by a slightly modified UNIFAC model Model parameters editFor the equation of state PSRK needs the critical temperature and pressure additionally at a minimum the acentric factor for all pure components in the considered mixture is also required The integrity of the model can be improved if the acentric factor is replaced by Mathias Copeman constants fitted to experimental vapor pressure data of pure components The mixing rule uses UNIFAC which needs a variety of UNIFAC specific parameters Aside from some model constants the most important parameters are the group interaction parameters these are obtained from parametric fits to experimental vapor liquid equilibria of mixtures Hence for high quality model parameters experimental data pure component vapor pressures and VLE of mixtures are needed These are normally provided by factual data banks like the Dortmund Data Bank which has been the base for the PSRK development In few cases additionally needed data have been determined experimentally if no data have been available from other sources The latest available parameters have been published in 2005 3 The further development is now taken over by the UNIFAC Consortium Example calculation edit nbsp Vapor liquid equilibrium of cyclohexane and carbon dioxide The prediction of a vapor liquid equilibrium is successful even in mixtures containing supercritical components However the mixture has to be subcritical In the given example carbon dioxide is the supercritical component with Tc 304 19 K 4 and Pc 7475 kPa 5 The critical point of the mixture lies at T 411 K and P 15000 kPa The composition of the mixture is near 78 mole carbon dioxide and 22 mole cyclohexane PSRK describes this binary mixture quite well the dew point curve as well as the bubble point curve and the critical point of the mixture Model weaknesses editIn a PSRK follow up work 6 VTPR some model weaknesses are quoted The gradient of the Mathias Copeman a function is without any thermodynamic background and if extrapolated to higher temperatures the described vapor pressure curve tends to diverge The Soave Redlich Kwong equation of state describes the vapor densities of pure components and mixtures quite well but the deviations of the liquid density prediction are high For the VLE prediction of mixtures with components that have very differing sizes e g ethanol C2H6O and eicosane C20H42 larger systematic errors are found Heats of mixing and activity coefficients at infinite dilution are predicted poorly Literature edit Holderbaum T Die Vorausberechnung von Dampf Flussig Gleichgewichten mit einer Gruppenbeitragszustandsgleichung Fortschrittsber VDI Reihe 3 243 1 154 1991 Mathias P M Copeman T W Extension of the Peng Robinson Equation of State to Complex Mixtures Evaluation of the Various Forms of the Local Composition Concept Fluid Phase Equilib 13 91 108 1983 ISSN 0378 3812 doi 10 1016 0378 3812 83 80084 3 Horstmann S Jabloniec A Krafczyk J Fischer K Gmehling J PSRK Group Contribution Equation of State Comprehensive Revision and Extension IV Including Critical Constants and a Function Parameters for 1000 Components Fluid Phase Equilib 227 2 157 164 2005 Ambrose D Trans Faraday Soc 52 772 781 1956 ISSN 0014 7672 doi 10 1039 TF9565200772 Schmidt E Thomas W Forsch Geb Ingenieurwes Ausg A 20 161 170 1954 Ahlers J Entwicklung einer universellen Gruppenbeitragszustandsgleichung Thesis Carl von Ossietzky Universitat Oldenburg 1 144 2003 External links editShort PSRK description from the developers UNIFAC Consortium at the Carl von Ossietzky University Oldenburg develops the PSRK model since 2005 Group assignment for PSRK and UNIFAC Retrieved from https en wikipedia org w index php title PSRK amp oldid 1220469523, wikipedia, wiki, book, books, library,

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