Computational Prediction of Water Sorption in Facilitated Transport Membranes

Polymeric facilitated transport membranes (FTMs) have emerged as an innovative class of promising carbon capture technology. Studies have shown that the transport properties of an FTM are significantly influenced by its water uptake. In order to better quantify FTM performance, we herein explore the potential of computational techniques to predict the equilibrium water uptake values of FTMs. Two prediction approaches were examined. First, the water sorption was explicitly simulated by iteratively conducting grand canonical Monte Carlo and molecular dynamics simulations. Second, the water sorption was predicted based on the chemical potential of the adsorbed water, which was calculated using the Widom insertion or continuous fractional component Monte Carlo (CFCMC) method. The chemical potential-based approach with CFCMC demonstrated good prediction of the equilibrium water uptake values of FTMs with poly(N-vinylformamide-co-vinylamine) as the fixed-site carrier and 2-(1-piperazinyl)ethylamine sarcosinate as the mobile carrier. The predicted water uptake values increased with increasing mobile carrier content and were in good agreement with the experimental values. The higher water uptake promoted the diffusion of CO2, N-2, and mobile carrier, as well as slightly stifled the sorption of N2. Such an approach significantly contributes to a more comprehensive theoretical evaluation of FTMs.

Automated summary

This study explores the potential of computational techniques to predict the equilibrium water uptake values of polymeric facilitated transport membranes (FTMs). Two prediction approaches were examined and the chemical potential-based continuous fractional component Monte Carlo (CFCMC) method showed good prediction performance. The study contributes to a more comprehensive theoretical evaluation of FTMs.