4.5 Article

Catalytic and Sulfur-Tolerant Performance of Bimetallic Ni-Ru Catalysts on HI Decomposition in the Sulfur-Iodine Cycle for Hydrogen Production

期刊

ENERGIES
卷 14, 期 24, 页码 -

出版社

MDPI
DOI: 10.3390/en14248539

关键词

hydrogen production; SI cycle; HI decomposition; bimetallic catalysts; sulfur-tolerant

资金

  1. Program of the Innovative Research Groups of the National Natural Science Foundation of China [51621005]
  2. Introducing Talents of Discipline to Universities [B08026]

向作者/读者索取更多资源

The addition of Ru to SiO2-supported Ni catalysts enhances their activity and sulfur resistance, leading to superior catalytic performance in the HI decomposition reaction. The experimental trends are consistent with theoretical modeling, with Ni-Ru/SiO2 catalysts outperforming Ru-free Ni/SiO2 catalysts in terms of catalytic activity and sulfur tolerance.
The sulfur-iodine (SI) cycle holds great promise as an alternative large-scale process for converting water into hydrogen without CO2 emissions. A major issue regarding the long-term stability and activity of the catalysts is their poor sulfur deactivation resistance in the HI feeding process. In this work, the effect of Ru addition for enhancing the activity and sulfur resistance of SiO2-supported Ni catalysts in the HI decomposition reaction has been investigated. The presence of H2SO4 molecules in the HI results in severe sulfur deactivation of the Ru-free Ni/SiO2 catalysts by blocking the active sites. However, Ni-Ru/SiO2 catalysts show higher catalytic activity without sulfur-poisoning by 25% and exhibit more superior catalytic performance than the Ru-free catalyst. The addition of Ru to the Ni/SiO2 catalyst promotes the stability and activity of the catalysts. The experimental trends in activity and sulfur tolerance are consistent with the theoretical modeling, with the catalytic activities existing in the order Ni/SiO2 < Ni-Ru/SiO2. The effect of Ru on the improvement in sulfur resistance over Ni-based catalysts is attributed to electronic factors, as evidenced by theory modeling analysis and detailed characterizations.

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