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

FUEL(2023)

引用 17|浏览12
暂无评分
摘要
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 H-2 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 ?, N-2 flow rate of 1,000 mL.min(-1), and S/C = 2.0, achieve 100 % methanol conversion, 39.74 vol% H-2 concentration in the product gas, and 2.93 mol.mol CH3OH)(-1) H-2 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.
更多
查看译文
关键词
Hydrogen production, Methanol steam reforming (MSR), Non-noble metal, Cu-based catalyst, Taguchi method and analysis of variance (ANOVA), Optimization and statistics
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要