Analisys of gas permeability in perfluorosufonated polymeric membranes for CO2 separation

The present thesis focuses on the permebility analisys of Aquivion® 980 Perfluoro sulfonic acid (PFSA) polymer with particular reference to the influence of the equivalent weight (gram of polymer per molSO3H) on the permeation properties. Aquivion grade tested, indeed, were characterized by a lower equivalent weight ( 870 g/molSO3H against 980 of the present material) with respect to data present in the open literature. Permeability of different gases (CO2, N2, and CH4) was tested at different temperatures and different humidity, a parameter which greatly influences the gas transport in such hydrophilic material- Aquivion® swells consistently in humid conditions increasing its gas permeability of more than one order of magnitude with respect to values prevailing in dry conditions. Present data confirm such behavior being the permeability of all gases and vapors tested substantially increased in presence of water. Interestingly the increase in permeability results be similar for all the gases inspected, hence such enhanced permeation capability is not associated to a selectivity loss that happens in polymeric membranes. Although, the results, of CO2, are lower compared to those obtained with the different grades, with lower equivalent weight, of Aquivion, thus suggesting that an increase of this parameter is detrimental for both permeability and selectivity of the membranes with respect to CO2. This is likely related to the fact that a lower content of SO3H groups makes it difficult to have an interconnected water domain inside the membranes. A modeling approach was considered to describe the experimental data and to give a better insight into the observed behavior, unfortunately, it resulted not sensitive enough to catch the differences between the gas permeability in PSFAs with high and low equivalent weight. The latter were indeed usually contained within 10-20% which results to be the in the same range of model precision when used in a predictive way.