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Optimization of K–Ni/α-Al2O3 catalyst for high-pressure oxidative reforming of methane by radial basis function network and multivariate analysis

Paper ID Volume ID Publish Year Pages File Format Full-Text
42334 45921 2010 7 PDF Available
Title
Optimization of K–Ni/α-Al2O3 catalyst for high-pressure oxidative reforming of methane by radial basis function network and multivariate analysis
Abstract

In order to attain high activity of high-pressure oxidative reforming of methane, we optimized the preparation parameters of K–Ni/α-Al2O3 catalyst. Parameters such as the calcination temperature of γ-Al2O3 and the amounts of NiO and K loading were designed by L9 orthogonal array; the catalysts were prepared by an impregnation method and activated by hydrogen reduction prior to the reaction. A radial basis function network (RBFN) was constructed using the experimental results of the L9 catalysts. The catalyst activity was expressed by the RBFN as functions of the catalyst preparation parameters. A grid search was conducted on the RBFN to find the optimum conditions of the catalyst preparation for the highest activity. The predicted catalysts were verified by experimental tests, and the best catalyst was determined to be 1.9 wt.%K–16.8 wt.%NiO on α-Al2O3 calcined at 1150 °°C. Temperature programed reduction (TPR) was conducted to characterize the NiO species contained in the L9 catalyst precursors. The amounts of NiO species were also expressed by RBFNs as functions of the catalyst preparation parameters. A part of the grid data was used for a multivariate analysis on the correlations between the activity and the amount of NiO species. The results suggested that the optimum catalyst precursor contains a large amount of NiO corresponding to the reforming activity.

Graphical abstractThe calcination temperature of γ-Al2O3 and the amounts of NiO and K loading of K–Ni/α-Al2O3 catalyst were designed by L9 orthogonal array. By use of the experimental results, radial basis function networks were constructed and a grid search was conducted to find the optimum conditions. A multivariate analysis suggested that CO yield could be expressed by a linear combination of the amounts of α-NiO and β-NiO in TPR, and that these are the main precursors for the reaction.Figure optionsDownload full-size imageDownload high-quality image (99 K)Download as PowerPoint slide

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Optimization of K–Ni/α-Al2O3 catalyst for high-pressure oxidative reforming of methane by radial basis function network and multivariate analysis
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Publisher
Database: Elsevier - ScienceDirect
Journal: Applied Catalysis A: General - Volume 377, Issues 1–2, 1 April 2010, Pages 9–15
Authors
, , , , , , ,
Subjects
Physical Sciences and Engineering Chemical Engineering Catalysis
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us