The NETGP-NRHB lattice-fluid model describes the sorption thermodynamics of penetrants in amorphous polymer–penetrant mixtures locked in an out-of-equilibrium “glassy” state. It accounts for the nonrandom distribution of mean-field contacts and voids and for the possible occurrence of specific interactions. In this contribution, we assess the suitability of the NETGP-NRHB model to interpret the sorption thermodynamics of binary penetrant mixtures in glassy polymers. Moreover, adopting the gradients of NETGP-NRHB penetrant chemical potentials as driving forces for their diffusive fluxes, a self-consistent framework is proposed to predict the permeability of light gas binary mixtures in glassy polymer membranes once all of the model parameters are obtained by nonlinear regression of data of the corresponding binary and pure component subsystems. This approach is validated against solubility data of CO 2 /CH 4 and CO 2 /C 2 H 4 mixtures in glassy amorphous poly(2,6-dimethyl-1,4-phenylene oxide) (PPO) and poly(methyl methacrylate) (PMMA), respectively, and permeability data of CO 2 /CH 4 mixtures in three glassy amorphous polymer membranes (PAr, PSf, PH); all of the data are taken from the literature. In particular, solubility data are investigated up to a CH 4 partial pressure of 15 atm at a fixed CO 2 partial pressure equal to 5.1 atm for the system CO 2 /CH 4 /PPO and up to a CO 2 partial pressure of 4 atm at a fixed C 2 H 4 partial pressure equal to 2.09 atm for the system CO 2 /C 2 H 4 /PMMA. Permeability data are investigated at a fixed upstream molar concentration of the binary gas mixture equal to 0.5 by changing the total pressure up to 18 atm for the systems CO 2 /CH 4 /PAr and CO 2 /CH 4 /PSf and up to 14 atm for the system CO 2 /CH 4 /PH; the downstream total pressure is equal to 0 atm for all of the systems. All of the experimental sets of data are obtained at 35 °C. Solubility and permeability predictions for the ternary systems compare very well with all experimental literature data without additional parameters besides those required for the corresponding binary subsystems.
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Baldanza et al. (2022) studied this question.
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