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- W2021743635 abstract "Oxidative reforming of methane was conducted at 650 °C, 1 MPa, and GHSV= 2,000,000 N ml/(g h) using Ni/α-Al2O3 catalyst. Dilution of catalyst bed with α-Al2O3 prevented the formation of hot-spots in the catalyst bed. Element X (X=B, P, Ca, Mn, Fe, Cd, Ce, Gd and Re) was added to Ni/α-Al2O3, and the catalyst activities were experimentally observed to obtain training data of an artificial neural network (ANN). Then the physicochemical properties of element X and the observed values (CH4 conversion, H2 selectivity, or CO selectivity) of Ni–X/α-Al2O3 catalyst were used for ANN training. After the training, the ANN was able to predict the catalytic performance of Ni–Z/α-Al2O3 based on the physicochemical properties of element Z where Z is a possible additive other than X. In addition to La and Ce, Sc and Nd were predicted to promote the activity of Ni/α-Al2O3. The experimentally observed activity of Ni–Sc/α-Al2O3 was five times higher than that of unpromoted Ni/α-Al2O3 catalyst." @default.
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- W2021743635 date "2008-12-01" @default.
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- W2021743635 title "Effective additives of Ni/α-Al2O3 catalyst at low methane conversion of oxidative reforming for syngas formation" @default.
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- W2021743635 doi "https://doi.org/10.1016/j.apcata.2008.08.031" @default.
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