Screening of Additives to Ni-Based Methanation Catalyst for Enhanced Anti-Sintering Performance

The resistance to sintering of Ni/Al<sub>2</sub>O<sub>3</sub> catalysts with different additives for methanation reaction was modeled and predicted by data mining. In the screening, the resistance to sintering of Na, Ca, Ce, Mg, La, Cu, Zn, Zr, In, Mo, and Ti promoted Ni/Al&l...

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Main Authors: Yuting Li, Xiaoxia Han, Chaofan Zhao, Lin Yue, Jinxian Zhao, Jun Ren
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Catalysts
Subjects:
Online Access:https://www.mdpi.com/2073-4344/9/6/493
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spelling doaj-e12ab1f4c2c74a3eb4847e97beb87d3f2020-11-24T23:53:28ZengMDPI AGCatalysts2073-43442019-05-019649310.3390/catal9060493catal9060493Screening of Additives to Ni-Based Methanation Catalyst for Enhanced Anti-Sintering PerformanceYuting Li0Xiaoxia Han1Chaofan Zhao2Lin Yue3Jinxian Zhao4Jun Ren5Key Laboratory of Coal Science and Technology, Taiyuan University of Technology, Ministry of Education and Shanxi Province, No. 79 Yingze West Street, Taiyuan 030024, ChinaCollege of Electrical and Power Engineering, Taiyuan University of Technology, No. 79 Yingze West Street, Taiyuan 030024, ChinaCollege of Electrical and Power Engineering, Taiyuan University of Technology, No. 79 Yingze West Street, Taiyuan 030024, ChinaCollege of Electrical and Power Engineering, Taiyuan University of Technology, No. 79 Yingze West Street, Taiyuan 030024, ChinaKey Laboratory of Coal Science and Technology, Taiyuan University of Technology, Ministry of Education and Shanxi Province, No. 79 Yingze West Street, Taiyuan 030024, ChinaKey Laboratory of Coal Science and Technology, Taiyuan University of Technology, Ministry of Education and Shanxi Province, No. 79 Yingze West Street, Taiyuan 030024, ChinaThe resistance to sintering of Ni/Al<sub>2</sub>O<sub>3</sub> catalysts with different additives for methanation reaction was modeled and predicted by data mining. In the screening, the resistance to sintering of Na, Ca, Ce, Mg, La, Cu, Zn, Zr, In, Mo, and Ti promoted Ni/Al<sub>2</sub>O<sub>3</sub> catalyst were measured in terms of the increased rate of the size of the metallic nickel particles. The resistance to sintering of catalysts, described by the increased rate of Ni particle size as well as basic physicochemical properties of the 11 selected elements, was adopted for optimization model construction by data mining. Through regression model prediction and experimental verification, Cs was found to be an additive, and promotes the resistance to sintering mostly for Ni/Al<sub>2</sub>O<sub>3</sub> catalysts. This result provides further evidence that data mining techniques can be employed as a highly efficient tool for the discovery of new catalysts in comparison with the traditional experimental method.https://www.mdpi.com/2073-4344/9/6/493data miningmethanationNi/Al<sub>2</sub>O<sub>3</sub> catalystadditivesanti-sintering
collection DOAJ
language English
format Article
sources DOAJ
author Yuting Li
Xiaoxia Han
Chaofan Zhao
Lin Yue
Jinxian Zhao
Jun Ren
spellingShingle Yuting Li
Xiaoxia Han
Chaofan Zhao
Lin Yue
Jinxian Zhao
Jun Ren
Screening of Additives to Ni-Based Methanation Catalyst for Enhanced Anti-Sintering Performance
Catalysts
data mining
methanation
Ni/Al<sub>2</sub>O<sub>3</sub> catalyst
additives
anti-sintering
author_facet Yuting Li
Xiaoxia Han
Chaofan Zhao
Lin Yue
Jinxian Zhao
Jun Ren
author_sort Yuting Li
title Screening of Additives to Ni-Based Methanation Catalyst for Enhanced Anti-Sintering Performance
title_short Screening of Additives to Ni-Based Methanation Catalyst for Enhanced Anti-Sintering Performance
title_full Screening of Additives to Ni-Based Methanation Catalyst for Enhanced Anti-Sintering Performance
title_fullStr Screening of Additives to Ni-Based Methanation Catalyst for Enhanced Anti-Sintering Performance
title_full_unstemmed Screening of Additives to Ni-Based Methanation Catalyst for Enhanced Anti-Sintering Performance
title_sort screening of additives to ni-based methanation catalyst for enhanced anti-sintering performance
publisher MDPI AG
series Catalysts
issn 2073-4344
publishDate 2019-05-01
description The resistance to sintering of Ni/Al<sub>2</sub>O<sub>3</sub> catalysts with different additives for methanation reaction was modeled and predicted by data mining. In the screening, the resistance to sintering of Na, Ca, Ce, Mg, La, Cu, Zn, Zr, In, Mo, and Ti promoted Ni/Al<sub>2</sub>O<sub>3</sub> catalyst were measured in terms of the increased rate of the size of the metallic nickel particles. The resistance to sintering of catalysts, described by the increased rate of Ni particle size as well as basic physicochemical properties of the 11 selected elements, was adopted for optimization model construction by data mining. Through regression model prediction and experimental verification, Cs was found to be an additive, and promotes the resistance to sintering mostly for Ni/Al<sub>2</sub>O<sub>3</sub> catalysts. This result provides further evidence that data mining techniques can be employed as a highly efficient tool for the discovery of new catalysts in comparison with the traditional experimental method.
topic data mining
methanation
Ni/Al<sub>2</sub>O<sub>3</sub> catalyst
additives
anti-sintering
url https://www.mdpi.com/2073-4344/9/6/493
work_keys_str_mv AT yutingli screeningofadditivestonibasedmethanationcatalystforenhancedantisinteringperformance
AT xiaoxiahan screeningofadditivestonibasedmethanationcatalystforenhancedantisinteringperformance
AT chaofanzhao screeningofadditivestonibasedmethanationcatalystforenhancedantisinteringperformance
AT linyue screeningofadditivestonibasedmethanationcatalystforenhancedantisinteringperformance
AT jinxianzhao screeningofadditivestonibasedmethanationcatalystforenhancedantisinteringperformance
AT junren screeningofadditivestonibasedmethanationcatalystforenhancedantisinteringperformance
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