2023
DOI: 10.3390/catal13071125
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Hydroisomerisation and Hydrocracking of n-Heptane: Modelling and Optimisation Using a Hybrid Artificial Neural Network–Genetic Algorithm (ANN–GA)

Abstract: In this paper, the focus is on upgrading the value of naphtha compounds represented by n-heptane (n-C7H16) with zero octane number using a commercial zeolite catalyst consisting of a mixture of 75% HY and 25% HZSM-5 loaded with different amounts, 0.25 to 1 wt.%, of platinum metal. Hydrocracking and hydroisomerisation processes are experimentally and theoretically studied in the temperature range of 300–400 °C and under various contact times. A feedforward artificial neural network (FFANN) based on two hidden l… Show more

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Cited by 7 publications
(1 citation statement)
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“…It is also noted that the percentages of olefins produced on the surface of the 0.5% Pt/SZrO 2 catalyst as a result of hydrogenation/dehydrogenation reactions come in the sequence after the resulting isomers. The highest apparent activation energies of about 243.19 kJ/mol appeared for hydrocracking reactions, and these reactions are limited because the hydrocracking process requires high temperatures to overcome high activation energies [63].…”
Section: Kinetic Modeling Resultsmentioning
confidence: 99%
“…It is also noted that the percentages of olefins produced on the surface of the 0.5% Pt/SZrO 2 catalyst as a result of hydrogenation/dehydrogenation reactions come in the sequence after the resulting isomers. The highest apparent activation energies of about 243.19 kJ/mol appeared for hydrocracking reactions, and these reactions are limited because the hydrocracking process requires high temperatures to overcome high activation energies [63].…”
Section: Kinetic Modeling Resultsmentioning
confidence: 99%