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

Yi Kai Chih, Wei Hsin Chen, Siming You, Chun Han Hsu, Hong Ping Lin, Salman Raza Naqvi, Veeramuthu Ashokkumar

研究成果: Article同行評審

19 引文 斯高帕斯(Scopus)


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.

出版狀態Published - 2023 1月 1

All Science Journal Classification (ASJC) codes

  • 一般化學工程
  • 燃料技術
  • 能源工程與電力技術
  • 有機化學


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