METAL-ORGANIC FRAMEWORKS (MOFs) FOR CARBON CAPTURE: AN EMPIRICAL MODEL FOR CO2 SELECTIVITY AND ADSORPTION CAPACITY PREDICTION

Carbon dioxide capturing using advanced porous materials such as metal-organic frameworks (MOFs) has emerged as an efficient method for control of CO2 emission into the atmosphere. This paper aims to evaluate the appropriate MOF adsorbents for capturing of carbon dioxide, To that aim, empirical models for prediction of adsorption capacity as well as selectivity of CO2 over MOF materials under equilibrium conditions have been presented. The proposed models, which are based on more than 150 real data points (borrowed from literature), estimate the adsorption capacity and selectivity using MOF surface areas and CO2 heat of adsorption on the MOF structures. The obtained results show that the proposed models would be able to be employed for initial screening of suitable MOFs for adsorptive separation of carbon dioxide from atmosphere.