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Permanent link (DOI): https://doi.org/10.7939/R3131K

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Lumped kinetic modelling and multivariate data analysis of propylene conversion over H-ZSM-5 Open Access

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Other title
Subject/Keyword
propylene conversion
lumped kinetic modelling
multivariate data analysis
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Nie, Jinjun
Supervisor and department
de Klerk, Arno ( Materials and Chemical Engineering)
Prasad, Vinay (Materials and Chemical Engineering)
Examining committee member and department
Derkson, Jos (Materials and Chemical Engineering)
Zeng, Hongbo (Materials and Chemical Engineering)
de Klerk, Arno ( Materials and Chemical Engineering)
Prasad, Vinay (Materials and Chemical Engineering)
Department
Department of Chemical and Materials Engineering
Specialization
Chemical Engineering
Date accepted
2013-01-29T09:16:57Z
Graduation date
2013-06
Degree
Master of Science
Degree level
Master's
Abstract
The process of catalytic conversion of propylene over ZSM-5 zeolite catalyst in a plug-flow micro-reactor with continuous feed flow is studied under near atmospheric pressure and in the temperature range of 330°C to 450°C with gas hourly velocity from 110/hour to 300/hour. The reaction product is condensed and characterized by gas-phase GC, liquid-phase GC, offline FTIR, online FTIR, NIR and UV-Vis spectroscopy. The effects of space velocity and reaction temperature on the carbon number distribution, the yield of C1-C2 gases, C4 hydrocarbons, C5+ hydrocarbons and yield of aromatics are evaluated. The chemical species are lumped into C1-C2 light gas, propylene, propane, C4 hydrocarbons, C5+ hydrocarbons and aromatics and a lumped kinetic model is built with the kinetic parameters estimated by the experimental data. The prediction of concentrations of the chemical lumps by the built model shows a good agreement with the experimental data from extra experiments, which further validate the practice of the model prediction. Multivariate data analysis, which includes Principal Components Analysis and Hierarchical Clustering Analysis, is employed for analysis of the experimental data and also the offline and online spectra data for further understanding the process. The mapping of the spectra in relation to the reaction conditions is built and validated by the experimental tests. Algorithms of outlier detection and process control of the reaction process are proposed, as well as the application of this mapping with multivariate data analysis is proposed for future work.
Language
English
DOI
doi:10.7939/R3131K
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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