PSRK VLE Prediction Cyclohexane And Carbon Dioxide
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PSRK (short for Predictive Soave–Redlich–Kwong) 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 In statistical thermodynamics, the UNIFAC method ( UNIQUAC Functional-group Activity Coefficients)Aage Fredenslund, Russell L. Jones and John M. Prausnitz, "Group-Contribution Estimation of Activity Coefficients in Nonideal Liquid Mixtures", ''A ...
.


Principle

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 Density (volumetric mass density or specific mass) is the substance's mass per unit of volume. The symbol most often used for density is ''ρ'' (the lower case Greek language, Greek letter Rho (letter), rho), although the Latin letter ''D'' ca ...
, enthalpies, heat capacities, and other properties.


Equations

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

The equation of state of Soave is defined as follows: : P = \frac - \frac. The original α-function has been replaced by the function of Mathias–Copeman: : \alpha(T_r) = \left + c_1 \left(1 - \sqrt\right) + c_2 \left(1 - \sqrt\right)^2 + c_3 \left(1 - \sqrt\right)^3 \right2. 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 ''c''2 and ''c''3 to zero. Additionally, the parameter ''c''1 can be obtained from the
acentric factor The acentric factor is a conceptual number introduced by Kenneth Pitzer in 1955, proven to be useful in the description of fluids. It has become a standard for the phase characterization of single & pure components, along with other state descript ...
, using the relation : c_1 = 0.48 + 1.574 \, \omega - 0.176 \, \omega^2. This may be performed if no fitted Mathias–Copeman parameter is available.


Mixing rule

The PSRK mixing rule calculates the parameters ''a'' and ''b'' of the equation of state by : \frac = \sum_i x_i \frac - \frac and : b = \sum_i x_i b_i, 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 ''g''E. The excess Gibbs energy is calculated by a slightly modified UNIFAC model.


Model parameters

For the equation of state PSRK needs the
critical temperature Critical or Critically may refer to: *Critical, or critical but stable, medical states **Critical, or intensive care medicine *Critical juncture, a discontinuous change studied in the social sciences. *Critical Software, a company specializing in ...
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 The Dortmund Data Bank (short DDB) is a factual data bank for thermodynamic and thermophysical data. Its main usage is the data supply for process simulation where experimental data are the basis for the design, analysis, synthesis, and optimizati ...
, 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. The further development is now taken over by the
UNIFAC Consortium The UNIFAC Consortium was founded at the Carl von Ossietzky University of Oldenburg at the chair of industrial chemistry of Prof. Gmehling to invite private companies to support the further development of the group-contribution methods UNIFAC and ...
.


Example calculation

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 ''T''c = 304.19 K and ''P''c = 7475 kPa. 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 In thermodynamics, the bubble point is the temperature (at a given pressure) where the first bubble of vapor is formed when heating a liquid consisting of two or more components. Given that vapor will probably have a different composition tha ...
curve and the critical point of the mixture.


Model weaknesses

In a PSRK follow-up workAhlers J., “Entwicklung einer universellen Gruppenbeitragszustandsgleichung”, Thesis, Carl-von-Ossietzky-Universität Oldenburg, 1–144, 2003. (
VTPR VTPR (short for Volume-Translated Peng–Robinson) 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 ...
) 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 Icosane (alternative spelling eicosane) is an alkane with the chemical formula C20H42. It has 366,319 constitutional isomers. Icosane has little use in the petrochemical industry, as its high flash point makes it an inefficient fuel. ''n''-Icosa ...
, C20H42) larger systematic errors are found. * Heats of mixing and activity coefficients at infinite dilution are predicted poorly.


Literature


External links


Short 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
{{DEFAULTSORT:Psrk Thermodynamic models