2006
DOI: 10.1134/s0965544106040037
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Application of hydrocarbon cracking experiments to ethylene unit control and optimization

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Cited by 12 publications
(12 citation statements)
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“…for 27 evaluated products or product fractions, while the range of detected products extends from hydrogen to pyrolysis oil. A mathematical model based on the artificial neural network was presented [47] showing that there is a good correlation between the product yields obtained with laboratory apparatus and corresponding yields observed in the data from an industrial unit [48]. The mathematical model was also able to predict yields of major products obtained by an industrial scale steam-cracking of a feedstock from the yields observed by Pyr-GC experiment using the same feedstock.…”
Section: Introductionmentioning
confidence: 99%
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“…for 27 evaluated products or product fractions, while the range of detected products extends from hydrogen to pyrolysis oil. A mathematical model based on the artificial neural network was presented [47] showing that there is a good correlation between the product yields obtained with laboratory apparatus and corresponding yields observed in the data from an industrial unit [48]. The mathematical model was also able to predict yields of major products obtained by an industrial scale steam-cracking of a feedstock from the yields observed by Pyr-GC experiment using the same feedstock.…”
Section: Introductionmentioning
confidence: 99%
“…This technique, similar to pyrolysis gas chromatography (Pyr-GC), was used to assay cracking yields of assorted steam-cracking feedstocks [44,45]. It was found [46] that it can provide very reliable results, the absolute standard deviation of product yields varying in the range of 0.05-0.75% (wt.)…”
Section: Introductionmentioning
confidence: 99%
“…The model was extensively utilized for modeling the industrial purposes, and the validity of the results is widely recognized. It was used to support the design process of a new reactor coil by ABB Lummus in Chemopetrol Co. plant , . It was also applied as a balance tool for long‐term monitoring of an entire production unit , for improvement of process control and production planning , .…”
Section: Mathematical Modelmentioning
confidence: 99%
“…It was used to support the design process of a new reactor coil by ABB Lummus in Chemopetrol Co. plant , . It was also applied as a balance tool for long‐term monitoring of an entire production unit , for improvement of process control and production planning , . Also, the absolute middle deviation of predicted product yields has been determined using a long series of data.…”
Section: Mathematical Modelmentioning
confidence: 99%
See 1 more Smart Citation