Lydersen method

Last updated

The Lydersen method [1] is a group contribution method for the estimation of critical properties temperature (Tc), pressure (Pc) and volume (Vc). The Lydersen method is the prototype for and ancestor of many new models like Joback, [2] Klincewicz, [3] Ambrose, [4] Gani-Constantinou [5] and others.

Contents

The Lydersen method is based in case of the critical temperature on the Guldberg rule which establishes a relation between the normal boiling point and the critical temperature.

Equations

Critical temperature

Guldberg has found that a rough estimate of the normal boiling point Tb, when expressed in kelvins (i.e., as an absolute temperature), is approximately two-thirds of the critical temperature Tc. Lydersen uses this basic idea but calculates more accurate values.

Critical pressure

Critical volume

M is the molar mass and Gi are the group contributions (different for all three properties) for functional groups of a molecule.

Group contributions

GroupGi (Tc)Gi (Pc)Gi (Vc)GroupGi (Tc)Gi (Pc)Gi (Vc)
-CH3,-CH2-0.0200.22755.0>CH0.0120.21051.0
-C<-0,21041.0=CH2,#CH0.0180,19845.0
=C<,=C=-0.19836.0=C-H,#C-0.0050.15336.0
-CH2-(Ring)0.0130.18444.5>CH-(Ring)0.0120.19246.0
>C<(Ring)-0.0070.15431.0=CH-,=C<,=C=(Ring)0.0110.15437.0
-F0.0180.22418.0-Cl0.0170.32049.0
-Br0.0100.50070.0-I0.0120.83095.0
-OH0.0820.06018.0-OH(Aromat)0.031-0.0203.0
-O-0.0210.16020.0-O-(Ring)0.0140.1208.0
>C=O0.0400.29060.0>C=O(Ring)0.0330.20050.0
HC=O-0.0480.33073.0-COOH0.0850.40080.0
-COO-0.0470.47080.0-NH20.0310.09528.0
>NH0.0310.13537.0>NH(Ring)0.0240.09027.0
>N0.0140.17042.0>N-(Ring)0.0070.13032.0
-CN0.0600.36080.0-NO20.0550.42078.0
-SH,-S-0.0150.27055.0-S-(Ring)0.0080.24045.0
=S0.0030.24047.0>Si<0.0300.540-
-B<0.030--

Example calculation

AcetonGruppen.PNG

Acetone is fragmented in two different groups, one carbonyl group and two methyl groups. For the critical volume the following calculation results:

Vc = 40 + 60.0 + 2 * 55.0 = 210 cm3

In the literature (such as in the Dortmund Data Bank) the values 215.90 cm3, [6] 230.5 cm3 [7] and 209.0 cm3 [8] are published.

Related Research Articles

Density is a substance's mass per unit of volume. The symbol most often used for density is ρ, although the Latin letter D can also be used. Mathematically, density is defined as mass divided by volume: where ρ is the density, m is the mass, and V is the volume. In some cases, density is loosely defined as its weight per unit volume, although this is scientifically inaccurate – this quantity is more specifically called specific weight.

<span class="mw-page-title-main">Equation of state</span> An equation describing the state of matter under a given set of physical conditions

In physics and chemistry, an equation of state is a thermodynamic equation relating state variables, which describe the state of matter under a given set of physical conditions, such as pressure, volume, temperature, or internal energy. Most modern equations of state are formulated in the Helmholtz free energy. Equations of state are useful in describing the properties of pure substances and mixtures in liquids, gases, and solid states as well as the state of matter in the interior of stars.

<span class="mw-page-title-main">Enthalpy of vaporization</span> Energy to convert a liquid substance to a gas at a given pressure

In thermodynamics, the enthalpy of vaporization, also known as the (latent) heat of vaporization or heat of evaporation, is the amount of energy (enthalpy) that must be added to a liquid substance to transform a quantity of that substance into a gas. The enthalpy of vaporization is a function of the pressure and temperature at which the transformation takes place.

<span class="mw-page-title-main">Vapor pressure</span> Pressure exerted by a vapor in thermodynamic equilibrium

Vapor pressure or equilibrium vapor pressure is the pressure exerted by a vapor in thermodynamic equilibrium with its condensed phases at a given temperature in a closed system. The equilibrium vapor pressure is an indication of a liquid's thermodynamic tendency to evaporate. It relates to the balance of particles escaping from the liquid in equilibrium with those in a coexisting vapor phase. A substance with a high vapor pressure at normal temperatures is often referred to as volatile. The pressure exhibited by vapor present above a liquid surface is known as vapor pressure. As the temperature of a liquid increases, the attractive interactions between liquid molecules become less significant in comparison to the entropy of those molecules in the gas phase, increasing the vapor pressure. Thus, liquids with strong intermolecular interactions are likely to have smaller vapor pressures, with the reverse true for weaker interactions.

<span class="mw-page-title-main">Lennard-Jones potential</span> Model of intermolecular interactions

In computational chemistry, molecular physics, and physical chemistry, the Lennard-Jones potential is an intermolecular pair potential. Out of all the intermolecular potentials, the Lennard-Jones potential is probably the one that has been the most extensively studied. It is considered an archetype model for simple yet realistic intermolecular interactions. The Lennard-Jones potential is often used as a building block in molecular models for more complex substances. Many studies of the idealized "Lennard-Jones substance" use the potential to understand the physical nature of matter.

<span class="mw-page-title-main">Critical point (thermodynamics)</span> Temperature and pressure point where phase boundaries disappear

In thermodynamics, a critical point is the end point of a phase equilibrium curve. One example is the liquid–vapor critical point, the end point of the pressure–temperature curve that designates conditions under which a liquid and its vapor can coexist. At higher temperatures, the gas comes into a supercritical phase, and so cannot be liquefied by pressure alone. At the critical point, defined by a critical temperatureTc and a critical pressurepc, phase boundaries vanish. Other examples include the liquid–liquid critical points in mixtures, and the ferromagnet–paramagnet transition in the absence of an external magnetic field.

Brunauer–Emmett–Teller (BET) theory aims to explain the physical adsorption of gas molecules on a solid surface and serves as the basis for an important analysis technique for the measurement of the specific surface area of materials. The observations are very often referred to as physical adsorption or physisorption. In 1938, Stephen Brunauer, Paul Hugh Emmett, and Edward Teller presented their theory in the Journal of the American Chemical Society. BET theory applies to systems of multilayer adsorption that usually utilizes a probing gas (called the adsorbate) that does not react chemically with the adsorptive (the material upon which the gas attaches to) to quantify specific surface area. Nitrogen is the most commonly employed gaseous adsorbate for probing surface(s). For this reason, standard BET analysis is most often conducted at the boiling temperature of N2 (77 K). Other probing adsorbates are also utilized, albeit less often, allowing the measurement of surface area at different temperatures and measurement scales. These include argon, carbon dioxide, and water. Specific surface area is a scale-dependent property, with no single true value of specific surface area definable, and thus quantities of specific surface area determined through BET theory may depend on the adsorbate molecule utilized and its adsorption cross section.

In thermodynamics, the specific volume of a substance is the quotient of the substance's volume to its mass :

<span class="mw-page-title-main">Kernel density estimation</span> Estimator

In statistics, kernel density estimation (KDE) is the application of kernel smoothing for probability density estimation, i.e., a non-parametric method to estimate the probability density function of a random variable based on kernels as weights. KDE answers a fundamental data smoothing problem where inferences about the population are made based on a finite data sample. In some fields such as signal processing and econometrics it is also termed the Parzen–Rosenblatt window method, after Emanuel Parzen and Murray Rosenblatt, who are usually credited with independently creating it in its current form. One of the famous applications of kernel density estimation is in estimating the class-conditional marginal densities of data when using a naive Bayes classifier, which can improve its prediction accuracy.

<span class="mw-page-title-main">Non-random two-liquid model</span>

The non-random two-liquid model is an activity coefficient model introduced by Renon and Prausnitz in 1968 that correlates the activity coefficients of a compound with its mole fractions in the liquid phase concerned. It is frequently applied in the field of chemical engineering to calculate phase equilibria. The concept of NRTL is based on the hypothesis of Wilson, who stated that the local concentration around a molecule in most mixtures is different from the bulk concentration. This difference is due to a difference between the interaction energy of the central molecule with the molecules of its own kind and that with the molecules of the other kind . The energy difference also introduces a non-randomness at the local molecular level. The NRTL model belongs to the so-called local-composition models. Other models of this type are the Wilson model, the UNIQUAC model, and the group contribution model UNIFAC. These local-composition models are not thermodynamically consistent for a one-fluid model for a real mixture due to the assumption that the local composition around molecule i is independent of the local composition around molecule j. This assumption is not true, as was shown by Flemr in 1976. However, they are consistent if a hypothetical two-liquid model is used. Models, which have consistency between bulk and the local molecular concentrations around different types of molecules are COSMO-RS, and COSMOSPACE.

The Joback method predicts eleven important and commonly used pure component thermodynamic properties from molecular structure only.

<span class="mw-page-title-main">UNIQUAC</span> Model of phase equilibrium in statistical thermodynamics

In statistical thermodynamics, UNIQUAC is an activity coefficient model used in description of phase equilibria. The model is a so-called lattice model and has been derived from a first order approximation of interacting molecule surfaces. The model is, however, not fully thermodynamically consistent due to its two-liquid mixture approach. In this approach the local concentration around one central molecule is assumed to be independent from the local composition around another type of molecule.

<span class="mw-page-title-main">Klincewicz method</span>

In thermodynamic theory, the Klincewicz method is a predictive method based both on group contributions and on a correlation with some basic molecular properties. The method estimates the critical temperature, the critical pressure, and the critical volume of pure components.

A group-contribution method in chemistry is a technique to estimate and predict thermodynamic and other properties from molecular structures.

PSRK 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.

Moving horizon estimation (MHE) is an optimization approach that uses a series of measurements observed over time, containing noise and other inaccuracies, and produces estimates of unknown variables or parameters. Unlike deterministic approaches, MHE requires an iterative approach that relies on linear programming or nonlinear programming solvers to find a solution.

VTPR 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 which contain supercritical components. These class of substances couldn't be predicted with established models like UNIFAC.

COSMO-RS is a quantum chemistry based equilibrium thermodynamics method with the purpose of predicting chemical potentials μ in liquids. It processes the screening charge density σ on the surface of molecules to calculate the chemical potential μ of each species in solution. Perhaps in dilute solution a constant potential must be considered. As an initial step a quantum chemical COSMO calculation for all molecules is performed and the results are stored in a database. In a separate step COSMO-RS uses the stored COSMO results to calculate the chemical potential of the molecules in a liquid solvent or mixture. The resulting chemical potentials are the basis for other thermodynamic equilibrium properties such as activity coefficients, solubility, partition coefficients, vapor pressure and free energy of solvation. The method was developed to provide a general prediction method with no need for system specific adjustment.

The shear viscosity of a fluid is a material property that describes the friction between internal neighboring fluid surfaces flowing with different fluid velocities. This friction is the effect of (linear) momentum exchange caused by molecules with sufficient energy to move between these fluid sheets due to fluctuations in their motion. The viscosity is not a material constant, but a material property that depends on temperature, pressure, fluid mixture composition, local velocity variations. This functional relationship is described by a mathematical viscosity model called a constitutive equation which is usually far more complex than the defining equation of shear viscosity. One such complicating feature is the relation between the viscosity model for a pure fluid and the model for a fluid mixture which is called mixing rules. When scientists and engineers use new arguments or theories to develop a new viscosity model, instead of improving the reigning model, it may lead to the first model in a new class of models. This article will display one or two representative models for different classes of viscosity models, and these classes are:

The Relative Gain Array (RGA) is a classical widely-used method for determining the best input-output pairings for multivariable process control systems. It has many practical open-loop and closed-loop control applications and is relevant to analyzing many fundamental steady-state closed-loop system properties such as stability and robustness.

References

  1. Lydersen, a.L. "Estimation of Critical Properties of Organic Compounds". Engineering Experiment Station Report. 3. Madison, Wisconsin: University of Wisconsin College Engineering.
  2. Joback, K.G.; Reid, R.C. (1987). "Estimation of pure-component properties from group-contributions". Chemical Engineering Communications. 57 (1–6). Informa UK Limited: 233–243. doi:10.1080/00986448708960487. ISSN   0098-6445.
  3. Klincewicz, K. M.; Reid, R. C. (1984). "Estimation of critical properties with group contribution methods". AIChE Journal. 30 (1). Wiley: 137–142. Bibcode:1984AIChE..30..137K. doi:10.1002/aic.690300119. ISSN   0001-1541.
  4. Ambrose, D. (1978). Correlation and Estimation of Vapour-Liquid Critical Properties. I. Critical Temperatures of Organic Compounds. National Physical Laboratory Reports Chemistry. Vol. 92. p. 1-35.
  5. Constantinou, Leonidas; Gani, Rafiqul (1994). "New group contribution method for estimating properties of pure compounds". AIChE Journal. 40 (10). Wiley: 1697–1710. Bibcode:1994AIChE..40.1697C. doi:10.1002/aic.690401011. ISSN   0001-1541.
  6. Campbell, A. N.; Chatterjee, R. M. (1969-10-15). "The critical constants and orthobaric densities of acetone, chloroform, benzene, and carbon tetrachloride". Canadian Journal of Chemistry. 47 (20). Canadian Science Publishing: 3893–3898. doi: 10.1139/v69-646 . ISSN   0008-4042.
  7. Herz, W.; Neukirch, E. (1923). "Zur Kenntnis kritischer Grössen". Zeitschrift für Physikalische Chemie. 104: S.433-450. doi:10.1515/zpch-1923-10429. S2CID   99833350.
  8. Kobe, Kenneth A.; Crawford, Horace R.; Stephenson, Robert W. (1955). "Industrial Design Data—Critical Properties and Vapor Presesures of Some Ketones". Industrial & Engineering Chemistry. 47 (9). American Chemical Society (ACS): 1767–1772. doi:10.1021/ie50549a025. ISSN   0019-7866.