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

Authors :
Saeed Nazari Kudahi
Alireza Noorpoor
Niyaz Mohammad Mahmoodi
Source :
Iranian Journal of Chemistry & Chemical Engineering, Vol 38, Iss 3, Pp 293-307 (2019)
Publication Year :
2019
Publisher :
Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR, 2019.

Abstract

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.

Details

Language :
English
ISSN :
10219986
Volume :
38
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Iranian Journal of Chemistry & Chemical Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.5203b9827460460a8cdeb1a449c94d35
Document Type :
article