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

Simple item page
dc.contributor.advisorRawatlal, Randhiren_ZA
dc.contributor.advisorAdler, Andyen_ZA
dc.contributor.advisorMainza, Aubreyen_ZA
dc.contributor.authorAdetunji, Olubode Caleben_ZA
dc.date.accessioned2017-01-24T09:10:41Z
dc.date.available2017-01-24T09:10:41Z
dc.date.issued2016en_ZA
dc.description.abstractA 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.en_ZA
dc.identifier.apacitationAdetunji, O. C. (2016). <i>Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering. Retrieved from http://hdl.handle.net/11427/22979en_ZA
dc.identifier.chicagocitationAdetunji, Olubode Caleb. <i>"Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering, 2016. http://hdl.handle.net/11427/22979en_ZA
dc.identifier.citationAdetunji, O. 2016. Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Adetunji, Olubode Caleb AB - 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. DA - 2016 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2016 T1 - Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions TI - Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions UR - http://hdl.handle.net/11427/22979 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/22979
dc.identifier.vancouvercitationAdetunji OC. Hybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictions. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering, 2016 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/22979en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Chemical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherChemical Engineeringen_ZA
dc.titleHybridization of electrical resistance tomography to population balance model for accurate bubble column reactor hydrodynamic parameter predictionsen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
thesis_ebe_2016_adetunji_olubode_caleb.pdf
Size:
8.56 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
PhD / Doctoral