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Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions

A novel approach of obtaining bubble size and spatial distribution is developed by hybridising techniques of Electrical Resistance Tomography and the Gas Disengagement Technique using a Population Balance as a framework. As a result, detailed hydrodynamic predictions suitable for Bubble Column React...

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Main Author: Adetunji, Olubode Caleb
Other Authors: Rawatlal, Randhir
Format: Thesis
Language:English
Published: Department of Chemical Engineering 2017
Subjects:
Chemical Engineering
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access_status_str Open Access
author Adetunji, Olubode Caleb
author2 Rawatlal, Randhir
author_browse Adetunji, Olubode Caleb
Rawatlal, Randhir
author_facet Rawatlal, Randhir
Adetunji, Olubode Caleb
author_sort Adetunji, Olubode Caleb
collection Thesis
description A novel approach of obtaining bubble size and spatial distribution is developed by hybridising techniques of Electrical Resistance Tomography and the Gas Disengagement Technique using a Population Balance as a framework. As a result, detailed hydrodynamic predictions suitable for Bubble Column Reactor [BER] optimisation results with minimal computing effort. Electrical Resistance Tomography [ERT] is a technique for creating 3D images of objects occurring in space. The images are obtained through current stimulations through a body surface electrodes and measurements of resulting voltage signals due to interior spatial conductivity field distribution. The use of ERT imaging method for hydrodynamic parameter predictions in a BCR has a benefit of yielding high temporal resolution but low spatial resolution. The low spatial resolution in electrical imaging accounts for underestimated or overestimated hydrodynamic parameter predictions similar to results obtained from the use of alternative techniques. The population balance model [PBM] is a mathematical framework with which the spatial transport of properties of bubble population can be described. The PBM also allows for the description of the time-variant bubble population properties by a division of bubble population into size classes. Moreover, the PBM allows for the inclusion of models of bubble coalescence and breakage phenomena, which affect the distribution of bubble population properties during bubble swarming. The included source terms enable accurate modelling of the bubble evolution either in a steady or unsteady state fluid flow regime. The objective of the present study is to develop an ERT interpretation technique yielding a high accuracy reconstruction of bubble population distribution through coupling ERT measurements to a PBM. It is hypothesized that a higher accuracy interpretation of ERT measurements will result from coupling ERT measurements to a PBM. The ERT technique has the capacity to image the steady and time-dependent gas void fractions in column sections as bubbles swarm and during dynamic gas disengagement [DGD]. This ERT potential is explored in hybridizing ERT and a PBM in the present work.
format Thesis
id oai:open.uct.ac.za:11427/22979
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:34:14.045Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher Department of Chemical Engineering
publisherStr Department of Chemical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/22979 Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions Adetunji, Olubode Caleb Rawatlal, Randhir Adler, Andy Mainza, Aubrey Chemical Engineering A novel approach of obtaining bubble size and spatial distribution is developed by hybridising techniques of Electrical Resistance Tomography and the Gas Disengagement Technique using a Population Balance as a framework. As a result, detailed hydrodynamic predictions suitable for Bubble Column Reactor [BER] optimisation results with minimal computing effort. Electrical Resistance Tomography [ERT] is a technique for creating 3D images of objects occurring in space. The images are obtained through current stimulations through a body surface electrodes and measurements of resulting voltage signals due to interior spatial conductivity field distribution. The use of ERT imaging method for hydrodynamic parameter predictions in a BCR has a benefit of yielding high temporal resolution but low spatial resolution. The low spatial resolution in electrical imaging accounts for underestimated or overestimated hydrodynamic parameter predictions similar to results obtained from the use of alternative techniques. The population balance model [PBM] is a mathematical framework with which the spatial transport of properties of bubble population can be described. The PBM also allows for the description of the time-variant bubble population properties by a division of bubble population into size classes. Moreover, the PBM allows for the inclusion of models of bubble coalescence and breakage phenomena, which affect the distribution of bubble population properties during bubble swarming. The included source terms enable accurate modelling of the bubble evolution either in a steady or unsteady state fluid flow regime. The objective of the present study is to develop an ERT interpretation technique yielding a high accuracy reconstruction of bubble population distribution through coupling ERT measurements to a PBM. It is hypothesized that a higher accuracy interpretation of ERT measurements will result from coupling ERT measurements to a PBM. The ERT technique has the capacity to image the steady and time-dependent gas void fractions in column sections as bubbles swarm and during dynamic gas disengagement [DGD]. This ERT potential is explored in hybridizing ERT and a PBM in the present work. 2017-01-24T09:10:41Z 2017-01-24T09:10:41Z 2016 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/22979 eng application/pdf Department of Chemical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Chemical Engineering
Adetunji, Olubode Caleb
Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions
thesis_degree_str Doctoral
title Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions
title_full Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions
title_fullStr Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions
title_full_unstemmed Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions
title_short Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions
title_sort hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions
topic Chemical Engineering
url http://hdl.handle.net/11427/22979
work_keys_str_mv AT adetunjiolubodecaleb hybridizationofelectricalresistancetomographytopopulationbalancemodelforaccuratebubblecolumnreactorhydrodynamicparameterpredictions

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