4.5 Article

A Novel γ-Alumina Supported Fe-Mo Bimetallic Catalyst for Reverse Water Gas Shift Reaction

期刊

CHINESE JOURNAL OF CHEMICAL ENGINEERING
卷 21, 期 9, 页码 1007-1014

出版社

CHEMICAL INDUSTRY PRESS CO LTD
DOI: 10.1016/S1004-9541(13)60573-X

关键词

reverse water gas shift reaction; Fe-Mo/Al2O3 catalyst; selectivity; stability; reducibility

资金

  1. Iranian Nano Technology Initiative Council
  2. Petroleum University of Technology

向作者/读者索取更多资源

In reverse water gas shift (RWGS) reaction CO2 is converted to CO which in turn can be used to produce beneficial chemicals such as methanol. In the present study, Mo/Al2O3, Fe/Al2O3 and Fe-Mo/Al2O3 catalysts were synthesised using impregnation method. The structures of catalysts were studied using X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET) method, inductively coupled plasma atomic emission spectrometer (ICP-AES), temperature programmed reduction (H-2-TPR), CO chemisorption, energy dispersive X-ray (EDX) and scanning electron microscopy (SEM) techniques. Kinetic properties of all catalysts were investigated in a batch reactor for RWGS reaction. The results indicated that Mo existence in structure of Fe-Mo/Al2O3 catalyst enhances its activity as compared to Fe/Al2O3. This enhancement is probably due to better Fe dispersion and smaller particle size of Fe species. Stability test of Fe-Mo/Al2O3 catalyst was carried out in a fixed bed reactor and a high CO yield for 60 h of time on stream was demonstrated. Fe-2(MoO4)(3) phase was found in the structures of fresh and used catalysts. TPR results also indicate that Fe-2(MoO4)(3) phase has low reducibility, therefore the Fe-2(MoO4)(3) phase significantly inhibits the reduction of the remaining Fe oxides in the catalyst, resulted in high stability of Fe-Mo/Al2O3 catalyst. Overall, this study introduces Fe-Mo/Al2O3 as a novel catalyst with high CO yield, almost no by-products and fairly stable for RWGS reaction.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据