Screening of Additives to Ni-Based Methanation Catalyst for Enhanced Anti-Sintering Performance
Yuting Li,
Xiaoxia Han,
Chaofan Zhao,
Lin Yue,
Jinxian Zhao,
Jun Ren
Affiliations
Yuting Li
Key Laboratory of Coal Science and Technology, Taiyuan University of Technology, Ministry of Education and Shanxi Province, No. 79 Yingze West Street, Taiyuan 030024, China
Xiaoxia Han
College of Electrical and Power Engineering, Taiyuan University of Technology, No. 79 Yingze West Street, Taiyuan 030024, China
Chaofan Zhao
College of Electrical and Power Engineering, Taiyuan University of Technology, No. 79 Yingze West Street, Taiyuan 030024, China
Lin Yue
College of Electrical and Power Engineering, Taiyuan University of Technology, No. 79 Yingze West Street, Taiyuan 030024, China
Jinxian Zhao
Key Laboratory of Coal Science and Technology, Taiyuan University of Technology, Ministry of Education and Shanxi Province, No. 79 Yingze West Street, Taiyuan 030024, China
Jun Ren
Key Laboratory of Coal Science and Technology, Taiyuan University of Technology, Ministry of Education and Shanxi Province, No. 79 Yingze West Street, Taiyuan 030024, China
The resistance to sintering of Ni/Al2O3 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/Al2O3 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/Al2O3 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.
