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Catalytic Steam Gasification of Glucose for Hydrogen Production Using Stable Based Ni on a γ–Alumina Fluidizable Catalyst

  • Daniel Gibran González Castañeda , Adriana Sanchez Enríquez , Ivan Cruz Reyes , Alan Ruben Calzada Hernández and Benito Serrano Rosales EMAIL logo
Published/Copyright: August 15, 2019

Abstract

Six different Ni-based fluidizable catalysts were synthesized using both incipient impregnation and co-impregnation. Ni-based catalysts were also promoted with 2.0 wt% La or alternatively with 2 wt% Ce. The preparation procedure included catalysts treated at high temperatures and under free of oxygen conditions. Catalysts were characterized using BET, XRD, AA, PSD, TPR, TPD, H2-chemisorption. TPR and H2 chemisorption showed good metal dispersion with 10 nm- 40 nm metal crystallites.

Glucose catalytic gasification runs were performed in a CREC Riser Simulator to evaluate the following catalysts: (a) 5 %Ni/γ-Al2O3, (b) 5 %Ni-2 %La/γ-Al2O3 and (c) 5 %Ni-2 %Ce/γ-Al2O3. In all cases, the preparation steps involved acid solutions with pHs of 1 and 4. In between consecutive runs, different approaches were considered: (a) A catalyst was regenerated by air, (b) A catalyst was regenerated by air followed by hydrogen pretreatment, (c) A catalyst was reused directly without any regeneration or hydrogen pretreatment. It was observed that Ni-based catalysts, which were subjected after every run, to both, air regeneration and hydrogen pretreatment, displayed the best yields in close agreement with thermodynamic equilibrium. On the other hand, Ni-based catalysts regenerated with air only, showed the worst hydrogen yields. In between these two-hydrogen yield limits, where catalysts not contacted with air nor hydrogen, with these yields being moderately below chemical equilibrium.

This shows that Ni-based fluidizable catalysts can perform on stream for extended periods, requiring limited reactivation with air and H2. This makes of gasification using the catalysts of the present study, a viable process alternative that could be implemented at industrial scale.

Acknowledgements

This research was funded by CONACYT – Mexico-221690, Ciencia Básica – 2013. We would like to thank CONACYT-Mexico for the following scholarships awarded: (a) 586008 to DGGC, (b) 611972 to ICR, (c) 297035 to ARCH. As well. We would like to express our appreciation to PRODEP for the 175112 scholarship awarded to ASE. We also would like to acknowledge the collaboration provided by C. a Dr. Alfonso Talavera, Dr. Victor Baltazar, Dr. Gustavo Fuentes Zurita, Dr. Victor Manuel Castaño Meneses, Dr. Carlos Santolalla Vargas, C. a Dr. Juan Carlos Piña Victoria, Dr. Sergio Miguel Duron Torres and Mario Alberto Gomez Gallardo, BE. Acknowledgments also go to Ms. Florencia de Lasa, who assisted with the editing of the present article.

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Received: 2019-05-21
Revised: 2019-07-04
Accepted: 2019-07-24
Published Online: 2019-08-15

© 2019 Walter de Gruyter GmbH, Berlin/Boston

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