A comprehensive analysis of kinetic models for methane autothermal reforming reactions

Fuel, Journal Year: 2025, Volume and Issue: 386, P. 134136 - 134136

Published: Jan. 4, 2025

Language: Английский

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Development of supported nickel-containing catalysts for methane tri-reforming: influence of pretreatment conditions

Kataliz v promyshlennosti, Journal Year: 2025, Volume and Issue: 25(1), P. 10 - 22

Published: Jan. 20, 2025

To improve the efficiency of catalysts for methane tri-reforming, effect pretreatment conditions Ce 0.2 Ni 0.8 O 1.2 /Al 2 3 catalyst on its physicochemical and functional properties was studied. A set methods (thermal analysis, low-temperature nitrogen adsorption, X-ray phase electron microscopy, temperature-programmed reduction with hydrogen) has established that varying composition gaseous medium (oxidizing, inert, reducing) used during at 800 °C allows one to adjust textural, structural redox characteristics and, as a consequence, properties. It been shown in series compositions gas environment catalyst, oxidative → inert reducing, an increase specific surface area dispersion active component is observed, but decrease resistance sample reoxidation coking. highest most stable performance tri-reforming process (H yield – 86 % CH 4 conversion 95 %) provided by after due implementation optimal degree metal-support interaction concentration centers involved CO activation.

Language: Английский

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Mathematical modeling of autothermal light paraffins hydrogenolysis processes

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 134996 - 134996

Published: Feb. 1, 2025

Language: Английский

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Millisecond hydrogen production in microchannel heat exchanger reactors by thermally coupling oxidation and reforming reactions

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 115, P. 131 - 145

Published: March 10, 2025

Language: Английский

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Towards maximum hydrogen output from methylcyclohexane dehydrogenation coupled with catalytic hydrogen combustion: An experimental and simulation study

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 98, P. 807 - 819

Published: Dec. 12, 2024

Language: Английский

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T2-LSTM-Based AI System for Early Detection of Motor Failure in Chemical Plants

Mathematics, Journal Year: 2024, Volume and Issue: 12(17), P. 2652 - 2652

Published: Aug. 26, 2024

In the chemical industry, stable reactor operation is essential for consistent production. Motor failures can disrupt operations, resulting in economic losses and safety risks. Traditional monitoring methods, based on human experience simple current monitoring, often need to be faster more accurate. The rapid development of artificial intelligence provides powerful tools early fault detection maintenance. this study, Hotelling T2 index used calculate root mean square values normal motor’s x, y, z axes. A long short-term memory (LSTM) model creates a trend index, determining an warning threshold. Current anomaly follows ISO 10816-1 standard, while future prediction uses T2-LSTM model. Validated at plant Southern Taiwan, method shows 98% agreement between predicted actual anomalies over three months, demonstrating its effectiveness. significantly improves accuracy motor detection, potentially reducing improving industry. Future research will focus false alarms integrating sensor data.

Language: Английский

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Economics of Chemical Methanol Production

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

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