A Novel Approach for the Prediction of Hydrocarbon Thermal Cracking Product Yields from the Substitute Feedstock Composition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60461373%3A22310%2F05%3A00013511" target="_blank" >RIV/60461373:22310/05:00013511 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Novel Approach for the Prediction of Hydrocarbon Thermal Cracking Product Yields from the Substitute Feedstock Composition
Original language description
A method has been developed to estimate cracking yields for complex hydrocarbon mixtures based on introducing the concept of substitute mixtures of real components. A set of 20 substitute components has been selected according to the true boiling pointsand densities of atmospheric gas oil distillation cuts. An artificial neural network trained by the full-scale experiments of naphthas cracking provides the prediction of the gas oil cracking yields. The disintegration of individual hydrocarbons into nine structural increments has been proposed for the uniform characterization of naphthas and substitute gas oil. Using the neural network, the yields of gas oil cracking in an industrial reactor can be predicted.
Czech name
Nový postup pro predikci výtěžků produktů ethylenové pyrolýzy na základě náhradní charakterizace suroviny
Czech description
Nový postup pro predikci výtěžků produktů ethylenové pyrolýzy na základě náhradní charakterizace suroviny
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
CI - Industrial chemistry and chemical engineering
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Chemical Engineering Technology
ISSN
0930-7516
e-ISSN
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Volume of the periodical
28
Issue of the periodical within the volume
10
Country of publishing house
DE - GERMANY
Number of pages
11
Pages from-to
1166-1176
UT code for WoS article
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EID of the result in the Scopus database
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