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Core-shell structured Fe 3 C as high-performance catalyst for methane decomposition

delete2024-09-01
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PRE
AI
L
Lijun Zhang
Y
Yuxin Wen
S
Shun Zhao
Z
Zhixian Bao
D
Dekang Li
H
Haoquan Hu
靳
靳立军 (Lijun Jin) *
DOI:10.1016/j.fuel.2024.131949delete
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摘要

摘要

En 中文
Fe 3 C as an intermediate often can be detected during catalytic decomposition of methane over Fe -based catalysts due to the dissolving of carbon in the bulk of Fe. However, the activity of Fe 3 C for methane decomposition is still unclear. In this work, Fe 3 C nanoparticles were prepared using melamine as carbon source mixed with Fe(NO 3 ) 3 via sol -gel method. The effects of the ratio of melamine to Fe(NO 3 ) 3 , reaction temperature and CO 2 -regeneration performances on catalytic methane decomposition (CMD) were investigated on a fixed -bed reactor. Results showed that the prepared catalyst performed better catalytic activity and stability for methane decomposition owing to smaller Fe 3 C nanoparticles with better dispersion, and typical core -shell structure with Fe 3 C core surrounded by carbon shell was obtained when the ratio of melamine to Fe(NO 3 ) 3 was 2:1. The reaction temperature significantly affected the activity and stability. About 13.2% of CH 4 conversion and 733 mmol/g cat hydrogen output were obtained at 850 degrees C after 700 min. Besides, the spent catalysts were regenerated by CO 2 . With the increase of regeneration times, the activity and stability of catalyst decreased firstly and then increased. About 96.1% initial CH 4 conversion and 13.5% CH 4 conversion were obtained after reaction of 3500 min for the 4th cycle, along with 3482 mmol/g cat hydrogen output. And the mechanism models of CMD reaction and CO 2 - regeneration over Fe 3 C catalysts was proposed. This work provides a new idea to solve metal sintering problem in catalytic methane decomposition and improve the stability of catalyst.
Keyword:
Hydrogen
Catalytic methane decomposition
Fe3C
Core-shell structure

期刊

Fuel 封面图
Fuel
IF:
7.5
论文数:
3.9W
被引数:
16.7W

机构

D
Dalian University of Technology
学者数:
6.0W
论文数: 4.4W
被引数: 5.5W
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