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Handbook of Solvents - George Wypych - ChemTech - Ventech!

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1430 Aydin K. Sunol and Sermin G. Sunol<br />

their inadequacy in representing the critical point. The non-classical scaling approaches 29,30<br />

fail when extended beyond the very narrow critical region and their combinations with<br />

equations <strong>of</strong> state (crossover EOSs) are still far from having practical applicability. Therefore,<br />

we will focus on the van der Waals family <strong>of</strong> Equation <strong>of</strong> States. 31<br />

These equations <strong>of</strong> states have both a repulsive and an attractive term. The most popular<br />

variants differ in how the attractive terms are modeled. The success <strong>of</strong> more recent<br />

Peng-Robinson 32 (PR) and Soave-Redlich-Kwong 33 (SRK) equation <strong>of</strong> states in phase behavior<br />

representation is due to the added parameter, accentric factor that incorporates vapor<br />

pressure information into the model. The shortcomings around the critical point are mainly<br />

due to the enhanced contribution <strong>of</strong> repulsive forces that can be modified through Perturbed<br />

Hard Chain Theory (PHCT). 34 Naturally, one other inherent difficulty is due to the instability<br />

<strong>of</strong> high molecular weight compounds at their critical point. This implies use <strong>of</strong> other parameters<br />

or pseudo critical properties to model the compounds and their mixtures. These<br />

equations <strong>of</strong> states are better in representing molar gas volume then the liquid. The accuracy<br />

<strong>of</strong> molar liquid volume can be improved through volume translation. 35 The added terms and<br />

parameters naturally complicate the equation <strong>of</strong> state since the order <strong>of</strong> the equation increases<br />

above cubic.<br />

Yet another essential dimension <strong>of</strong> the equation <strong>of</strong> states is their representation <strong>of</strong> mixture<br />

properties, which is achieved through mixing rules (models) that <strong>of</strong>ten include adjustable<br />

binary interaction parameters determined from multi-component, ideally binary, data.<br />

Most classical approaches fail to model mixing behavior <strong>of</strong> systems with dissimilar size<br />

components and hydrogen bonding, particularly if one expects to apply them throughout a<br />

wide pressure and temperature range that extends from very low to high pressures. Some <strong>of</strong><br />

the empirical density dependent mixing rules such as Panagiotopoulos-Reid 36 can account<br />

for the relative size <strong>of</strong> the solute and the solvent but have theoretical shortcomings violating<br />

one fluid model. There are also approaches that combine equation <strong>of</strong> state with activity<br />

models by forcing the mixture EOS to behave like the activity models (G E) at liquid densities.<br />

31 EOS-G E models can be combined with group contribution models to make them predictive.<br />

More recently, Wong-Sandler 37 mixing rules provide an avenue to incorporate more<br />

readily available low-pressure information into the equation <strong>of</strong> states extrapolate throughout<br />

the entire pressure range, as well as ensuring fundamentally correct boundary conditions.<br />

38<br />

Considering the difficulty associated with representing fugacity coefficients that may<br />

vary over ten orders <strong>of</strong> magnitude by mere change in temperature, pressure and composition;<br />

a simple equation <strong>of</strong> state such as Peng-Robinson, which is given below, do very well<br />

in correlating the experimental data and representing the phase behavior well.<br />

where:<br />

RT<br />

a<br />

p = −<br />

V −b<br />

V V b b V b<br />

( + ) + ( − )<br />

m m m m<br />

repulsive attractive term<br />

term<br />

=∑<br />

b x b<br />

i<br />

i i<br />

∑∑<br />

0.5<br />

( ) ( ij)<br />

a = x x a a 1− k<br />

i<br />

j<br />

i j i j<br />

b i= 0.07780 (RT ci/p ci)

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