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Hydrophilic zeolite sorbents for In‐situ water removal in high temperature processes
Author(s) -
Ghodhbene Marwa,
Bougie Francis,
Fongarland Pascal,
Iliuta Maria C.
Publication year - 2017
Publication title -
the canadian journal of chemical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.404
H-Index - 67
eISSN - 1939-019X
pISSN - 0008-4034
DOI - 10.1002/cjce.22877
Subject(s) - adsorption , zeolite , sorption , chemical engineering , chemistry , catalysis , kinetics , in situ , atmospheric temperature range , chemical kinetics , thermodynamics , organic chemistry , physics , quantum mechanics , engineering
An attractive approach to reduce anthropogenic emission of carbon dioxide (CO 2 ) would be to valorize it into value‐added products (e.g. alcohols or dimethylether) by chemical recycling. However, in most of these important reactions, water is produced as a byproduct that limits CO 2 conversion thermodynamically and can lead to the deactivation of catalysts. Water removal in sorption‐enhanced reaction process (SERP) would allow the overcoming of these drawbacks and several zeolites (SOD, LTA, and FAU) have been selected to assess their potential to adsorb water in‐situ at high temperatures. This work aims to study the water adsorption capacity and kinetics in a large temperature range of 25–250 °C and evaluate the potential of the selected adsorbents for in‐situ water removal in the reverse water gas shift (RWGS) reaction. For all zeolites, the water uptake showed an important decrease at higher temperatures but the capacity at 250 °C was still significant. While the poor adsorption kinetics of SOD limit its use, FAU‐13X powder gave better results than LTA‐4A, which were confirmed by a more important increase of CO concentration at the exit of the reactor for the RWGS reaction. Transient adsorption data obtained in this study were fitted by a double stretched equation and the kinetic constants were determined. These results are essential to model and design an efficient SERP process and determine the optimal reaction conditions.