Statistical optimization of hydrogen production from bio-methanol steam reforming over Ni-Cu/Al2O3 catalysts

Chih, Y.-K., Chen, W.-H., You, S. , Hsu, C.-H., Lin, H.-P., Naqvi, S. R. and Ashokkumar, V. (2023) Statistical optimization of hydrogen production from bio-methanol steam reforming over Ni-Cu/Al2O3 catalysts. Fuel, 331(Part 1), 125691. (doi: 10.1016/j.fuel.2022.125691)

Abstract

Hydrogen has emerged its importance for decarbonization to approach net-zero emissions in 2050. This study aims to develop three highly-porous Ni-Cu/Al2O3 catalysts (Ni-to-Cu weight ratio = 10 %, 20 %, and 30 %) for hydrogen production from the steam reforming of “Green” methanol (or bio-methanol). The prepared catalysts require no organic templates, thereby efficiently reducing unnecessary costs. With Taguchi orthogonal array design and analysis of variance (ANOVA), the impacts of selected operating factors on hydrogen productivity under ultrasonic sprays are investigated. The results reveal that the carrier gas flow rate is the most influential factor in H2 yield at the steam-to-methanol molar ratio (S/C) of 1.5, whereas the temperature is the most impactful factor at S/C = 2.0. The regression between the Taguchi effect value and the ANOVA F value develops a strong linear relationship. The optimal experimental conditions of Ni-Cu(30 %)/Al2O3, reaction temperature of 300 °C, N2 flow rate of 1,000 mL⋅min−1, and S/C = 2.0, achieve 100 % methanol conversion, 39.74 vol% H2 concentration in the product gas, and 2.93 mol⋅(mol CH3OH)-1 H2 yield. Thes data also show superior performance compared to those in the literature. In long-term stability tests, the prepared catalysts also exhibit high stability and effectiveness commensurate with commercialized Cu-based catalysts.

• Item Type: Articles
• Additional Information: The authors would like to acknowledge the financial support of the Ministry of Science and Technology, Taiwan, R.O.C., under the grant numbers MOST 108-2221-E-006-127-MY3 and MOST 110-2622-E-006-001-CC1 for this research.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: You, Dr Siming

Creator Roles

You, S.: Formal analysis, Writing – review and editing

• Authors: Chih, Y.-K., Chen, W.-H., You, S., Hsu, C.-H., Lin, H.-P., Naqvi, S. R., and Ashokkumar, V.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: Fuel
• Publisher: Elsevier
• ISSN: 0016-2361
• ISSN (Online): 1873-7153
• Published Online: 25 August 2022
• Copyright Holders: Copyright © 2022 Elsevier Ltd.
• First Published: First published in Fuel 331(Part 1): 125691
• Publisher Policy: Reproduced in accordance with the publisher copyright policy