TY - JOUR ID - 31728 TI - Adsorption Performance Indicator for Power Plant CO2 Capture on Graphene Oxide/TiO2 Nanocomposite JO - Iranian Journal of Chemistry and Chemical Engineering JA - IJCCE LA - en SN - 1021-9986 AU - Nazari Kudahi, Saeed AU - Noorpoor, Alireza AU - Mahmoodi, Niyaz Mohammad AD - School of Environment, College of Engineering, University of Tehran, P.O. Box 14155-6135 Tehran, I.R. IRAN AD - Department of Environmental Research, Institute for Color Science and Technology, Tehran, I.R. IRAN Y1 - 2019 PY - 2019 VL - 38 IS - 3 SP - 293 EP - 307 KW - CO2 capture KW - thermal power plants KW - adsorption performance indicator KW - graphene oxide/TiO2 nanocomposite KW - ideal adsorbed solution theory KW - Breakthrough experiment DO - 10.30492/ijcce.2019.31728 N2 - 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. UR - https://ijcce.ac.ir/article_31728.html L1 - https://ijcce.ac.ir/article_31728_1a5ed661828e8d9362d784cedbb24d46.pdf ER -