(347j) Measurement of Competitive CO2, H2o and N2 Adsorption on Zeolite 13X for Post-Combustion CO2 Capture | AIChE

(347j) Measurement of Competitive CO2, H2o and N2 Adsorption on Zeolite 13X for Post-Combustion CO2 Capture

Authors 

Wilkins, N. - Presenter, University of Alberta
Rajendran, A., University of Alberta
Sawada, J., University of Alberta
Single component CO2 and N2 equilibrium loadings were measured on Zeochem zeolite 13X from 0 to 150⁰C and 1 mbar to 5 bar using volumetry and gravimetry [1, 2]. H2O equilibrium data was collected from 22 to 100⁰C and 1 to 21 mbar using thermogravimetric analysis. A series of single and multicomponent CO2, H2O and N2 dynamic column breakthrough (DCB) experiments were measured on zeolite 13X at 22⁰C and 0.98 bar. The adsorption breakthrough experiments were able to provide accurate equilibrium data for the heavy component (CO2 in CO2/N2 mixtures and H2O in H2O/CO2/N2 mixtures), while failing to provide reliable light component (N2 in H2O/CO2/N2 mixtures and CO2 in H2O/CO2 mixtures) data. It was shown that desorption experiments from a bed fully saturated with the desired composition provides the best estimate of the competitive light component loading. H2O and CO2 equilibrium data was fit to a dual-site Langmuir (DSL) isotherm. The equilibrium data for N2 was fit using four DSL isotherm schemes: the perfect positive, the perfect negative, the equal energy site and the unequal energy site pairings. A detailed mathematical model that used input from the batch equilibrium experiments was able to predict the composition and thermal breakthrough curves well. The dual-site Langmuir isotherm with unequal energy sites was shown to predict the competitive loading and breakthrough curves well for CO2 and N2. The impact of the chosen adsorption isotherm model on process performance was evaluated by optimizing a 4-step vacuum swing adsorption process to concentrate CO2 from dry post-combustion flue gas. The results show that the energy and the productivity are significantly affected by the choice of the adsorption isotherm proving the need to measure competitive adsorption data for reliable process design and optimization.