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Permanent link (DOI): https://doi.org/10.7939/R3QD8J

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Non-linear reparameterization of complex models with applications to a microalgal heterotrophic fed-batch bioreactor Open Access

Descriptions

Other title
Subject/Keyword
Parameter identification
Control
Optimal experimental design
Experimental validation
Bioreactor
Mathematical modeling
Model reduction
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Surisetty, Kartik
Supervisor and department
Ben-Zvi, Amos (Chemical and Materials Engineering)
Examining committee member and department
Prasad, Vinay (Chemical and Materials Engineering)
Weselake, Randall (Agricultural, Food and Nutritional Science)
Department
Department of Chemical and Materials Engineering
Specialization

Date accepted
2009-11-25T20:35:36Z
Graduation date
2010-06
Degree
Master of Science
Degree level
Master's
Abstract
Good process control is often critical for the economic viability of large-scale production of several commercial products. In this work, the production of biodiesel from microalgae is investigated. Successful implementation of a model-based control strategy requires the identification of a model that properly captures the biochemical dynamics of microalgae, yet is simple enough to allow its implementation for controller design. For this purpose, two model reparameterization algorithms are proposed that partition the parameter space into estimable and inestimable subspaces. Both algorithms are applied using a first principles ODE model of a microalgal bioreactor, containing 6 states and 12 unknown parameters. Based on initial simulations, the non-linear algorithm achieved better degree of output prediction when compared to the linear one at a greatly decreased computational cost. Using the parameter estimates obtained through implementation of the non-linear algorithm on experimental data from a fed-batch bioreactor, the possible improvement in volumetric productivity was recognized.
Language
English
DOI
doi:10.7939/R3QD8J
Rights
License granted by Kartik Surisetty (kartiks@ualberta.ca) on 2009-11-20T20:37:25Z (GMT): 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 the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein 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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