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Permanent link (DOI): https://doi.org/10.7939/R3V89S

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Developing a kinetic model for hydroconversion processing of vacuum residue Open Access

Descriptions

Other title
Subject/Keyword
estimability
reparameterization
parameter estimation
experimental design
kinetic model
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Shams, Shiva
Supervisor and department
Ben-Zvi, Amos (Chemical and Materials Engineering)
Examining committee member and department
Gray, Murray (Chemical and Materials Engineering)
Zhao, Qing (Electrical and Computer Engineering)
Department
Department of Chemical and Materials Engineering
Specialization

Date accepted
2011-04-14T19:52:44Z
Graduation date
2011-06
Degree
Master of Science
Degree level
Master's
Abstract
One of heavy oils upgrading processes is hydroconversion. As it is a complex process involving many chemical reactions, the mathematical model of hydroconversion process often has more kinetic parameters than can be estimated from the data. In this thesis, a model for hydroconversion processing of vacuum residue is proposed. It is proved that the model is structurally identifiable, but shown that it is inestimable and good parameter estimates may be impossible to obtain even if the model fit is good. As a proof to the model inestimability, it is shown that literature data can be fitted using a subset of only three (of seven) parameters. To improve parameter estimability, a method is proposed for designing additional experiments. The method is based on designing experiments that provide data that is complementary (in an appropriate sense) to existing data. The approach is illustrated using the hydroconversion model. For the hydroconversion model, using two additional experiments provides a good balance between parameter estimation and experimental effort.
Language
English
DOI
doi:10.7939/R3V89S
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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