2018
DOI: 10.20944/preprints201810.0370.v1
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Correlating the Process Variables and Products Involved in the Fluid Catalytic Cracking of Waste Feeds

Abstract: Associating the most influential parameters with the product distribution is of uttermost importance in complex catalytic processes such as fluid catalytic cracking (FCC). These correlations can lead to the information-driven catalyst screening, kinetic modeling and reactor design. In this work, a dataset of 104 uncorrelated experiments, with 64 variables, has been obtained in an FCC simulator using 6 types of feedstock (vacuum gasoil, polyethylene pyrolysis waxes, scrap tire pyrolysis oil, dissolved polyethyl… Show more

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“…In analysing a large set of material properties that may be somehow related, one may advantageously employ a multivariate statistical tool, such as principal component analysis (PCA), since it allows to reduce a large set of variables to a smaller set of principal components that still contains most of the information of the large set, decreasing the complexity of the analyses . The PCA methodology was reported by Castaño and co‐workers for fluid catalytic cracking over faujasite Y zeolites, and by Vayenas and co‐workers for hydrotreatment of lube oil over metal oxides, allowing valuable insights into key parameters affecting the catalytic reactions.…”
Section: Resultsmentioning
confidence: 99%
“…In analysing a large set of material properties that may be somehow related, one may advantageously employ a multivariate statistical tool, such as principal component analysis (PCA), since it allows to reduce a large set of variables to a smaller set of principal components that still contains most of the information of the large set, decreasing the complexity of the analyses . The PCA methodology was reported by Castaño and co‐workers for fluid catalytic cracking over faujasite Y zeolites, and by Vayenas and co‐workers for hydrotreatment of lube oil over metal oxides, allowing valuable insights into key parameters affecting the catalytic reactions.…”
Section: Resultsmentioning
confidence: 99%