Effect of CeO2 Promotion on Ni Catalyst for Sorption-Enhanced Methanation

Abstract Series of nickel catalysts, supported on γ-alumina and promoted with different Ce loading (1–5%), have been studied in conventional and sorption-enhanced CO 2 methanation reaction. In addition, a detailed kinetic water adsorption study has been performed on commercial zeolite (13X, 4 A, 3 A). The decrease in adsorption capacity is observed for all zeolites with increasing temperature. The highest water adsorption capacity is observed for the 13X zeolite for all investigated temperatures (100–350 °C). However, the 13X zeolite showed loss of 50% of its capacity after 100 adsorption/desorption cycles while the 4 A and 3 A zeolites are almost unchanged. The catalyst characterization results indicate that upon addition of a small amount of ceria, dispersion of the Ni catalyst is improved as well as CO 2 conversion in conventional methanation. The catalyst that showed best performance was further tested for sorption-enhanced methanation, where water sorbents (13X, 4 A, 3 A) are mixed with catalysts. All the tests performed in presence of zeolites showed an increase in CO 2 conversion compared to those carried out in their absence. In addition, a 34% increase in CO 2 conversion was observed when increasing the H 2 /CO 2 ratio to 8 for the system with 13X zeolite. This indicates the enhancement effect when water is removed from the reaction.

Authors

Institutions

Publication Details

Journal
Topics in Catalysis
Published
2025-07-25
DOI
https://doi.org/10.1007/s11244-025-02156-2
Citations
1
Primary Topic
Catalysts for Methane Reforming
Type
article
Field-Weighted Citation Impact
0.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of CeO2 Promotion on Ni Catalyst for Sorption-Enhanced Methanation

Laura Calvillo, Ljubiša Gavrilović, Saima Sultana Kazi, Enrico Paron
1 citations
Topics in Catalysis
Catalysts for Methane Reforming
0.39
article

Effect of CeO2 Promotion on Ni Catalyst for Sorption-Enhanced Methanation

Laura Calvillo, Ljubiša Gavrilović, Saima Sultana Kazi, Enrico Paron
article en
1 citations

Abstract

Abstract Series of nickel catalysts, supported on γ-alumina and promoted with different Ce loading (1–5%), have been studied in conventional and sorption-enhanced CO 2 methanation reaction. In addition, a detailed kinetic water adsorption study has been performed on commercial zeolite (13X, 4 A, 3 A). The decrease in adsorption capacity is observed for all zeolites with increasing temperature. The highest water adsorption capacity is observed for the 13X zeolite for all investigated temperatures (100–350 °C). However, the 13X zeolite showed loss of 50% of its capacity after 100 adsorption/desorption cycles while the 4 A and 3 A zeolites are almost unchanged. The catalyst characterization results indicate that upon addition of a small amount of ceria, dispersion of the Ni catalyst is improved as well as CO 2 conversion in conventional methanation. The catalyst that showed best performance was further tested for sorption-enhanced methanation, where water sorbents (13X, 4 A, 3 A) are mixed with catalysts. All the tests performed in presence of zeolites showed an increase in CO 2 conversion compared to those carried out in their absence. In addition, a 34% increase in CO 2 conversion was observed when increasing the H 2 /CO 2 ratio to 8 for the system with 13X zeolite. This indicates the enhancement effect when water is removed from the reaction.

Topics in CatalysisVol. 68(20)
University of Padua (IT), Institute for Energy Technology (NO)
Openalex Percentile: Top 42%
Catalysts for Methane Reforming
0.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.