Adsorption Performance Indicator for Power Plant CO2 Capture on Graphene Oxide/TiO2 Nanocomposite

Document Type : Research Article


1 School of Environment, College of Engineering, University of Tehran, P.O. Box 14155-6135 Tehran, I.R. IRAN

2 Department of Environmental Research, Institute for Color Science and Technology, Tehran, I.R. IRAN


This study presents the adsorption performance indicator for the evaluation of thermal power plant CO2 capture on mesoporous graphene oxide/TiO2 nanocomposite. To begin, this adsorbent was synthesized and characterized using N2 adsorption-desorption measurements (BET and BJH methods), X-Ray Diffraction (XRD), Field Emission Scanning Electron Microscopy (FE-SEM) and FT-IR spectroscopy. Subsequently, the pure single-component adsorption isotherms measured at 298 K and the Ideal Adsorbed Solution Theory (IAST) solved with direct search minimisation were applied to estimate the selectivity of the synthesized mesoporous graphene oxide/TiO2 nanocomposite for CO2 over N2 and predict CO2 adsorption capacity in the CO2:N2 binary gas mixtures, including the molar ratio of 5:95, 10:90 and 15:85. Finally, the results validated by the breakthrough experiments at a fixed-bed column were applied to estimate the Adsorption Performance Indicator (API) for the evaluation of CO2 separation from N2 in the Pressure Swing Adsorption (PSA) process with respect to different types of thermal power plants.


Main Subjects

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