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

Abstract

<em>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 </em><em>(BET and BJH methods), X-Ray Diffraction (XRD), Field Emission Scanning Electron Microscopy (FE-SEM)</em><em> and FT-IR spectroscopy. </em><em>Subsequently,</em><em> the pure single-component adsorption isotherms measured at 298 K and the Ideal Adsorbed Solution Theory (IAST) solved with direct search </em><em>minimisation</em><em> 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.</em>