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Valorization of biomass-derived CO2 residues with Cu-MnOx catalysts for RWGS reaction

  • This study delivers useful understanding towards the design of effective catalytic systems for upgrading real CO2erich residual streams derived from biomass valorization. Within this perspective, a catalysts' series based on (5 wt%) Cu - (X wt%) Mn/Al2O3with X¼0, 3, 8, and 10 is employed. The improved catalyst performance achieved through Mn incorporation is ascribed to enhanced Cu dispersions and promoted surface basic concentrations. Under standard RWGS conditions, the highest reaction rates achieved by(5 wt%) Cu - (8 wt%) Mn/Al2O3catalyst were associated to improved Cu dispersions along with the constitution of highly active Cu-MnOxdomains. Remarkably, variations on the optimal Cu to Mn ratios were detected as a function of the RWGS reaction conditions. Thus, under simulated CO2-rich residual feedstock's, i.e., in presence of CO and CH4, the further promotion on the Cu dispersion attained by the larger amounts of MnOxrendered the (5 wt%) Cu - (10 wt%) Mn/Al2O3catalyst as the best performing sample. Overall, the presented outcomesThis study delivers useful understanding towards the design of effective catalytic systems for upgrading real CO2erich residual streams derived from biomass valorization. Within this perspective, a catalysts' series based on (5 wt%) Cu - (X wt%) Mn/Al2O3with X¼0, 3, 8, and 10 is employed. The improved catalyst performance achieved through Mn incorporation is ascribed to enhanced Cu dispersions and promoted surface basic concentrations. Under standard RWGS conditions, the highest reaction rates achieved by(5 wt%) Cu - (8 wt%) Mn/Al2O3catalyst were associated to improved Cu dispersions along with the constitution of highly active Cu-MnOxdomains. Remarkably, variations on the optimal Cu to Mn ratios were detected as a function of the RWGS reaction conditions. Thus, under simulated CO2-rich residual feedstock's, i.e., in presence of CO and CH4, the further promotion on the Cu dispersion attained by the larger amounts of MnOxrendered the (5 wt%) Cu - (10 wt%) Mn/Al2O3catalyst as the best performing sample. Overall, the presented outcomes underline operative strategies for developing catalytic systems with advanced implementation potentialities.show moreshow less

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Author: Judith González-Arias, Miriam González-CastañoORCiD, Marta Elena Sánchez, Jorge Cara-Jiménez, Harvey Arellano-GarciaORCiD
DOI:https://doi.org/10.1016/j.renene.2021.10.029
ISSN:1879-0682
Title of the source (English):Renewable Energy
Document Type:Scientific journal article peer-reviewed
Language:English
Year of publication:2022
Tag:CO2 reduction; CO2 waste valorization; CO2-Rich residues; Cu-catalysts; Manganese oxide; Reverse water gas shift
Issue number:182
First Page:443
Last Page:451
Faculty/Chair:Fakultät 3 Maschinenbau, Elektro- und Energiesysteme / FG Prozess- und Anlagentechnik
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