Interval based MINLP superstructure synthesis of heat and mass exchange networks

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dc.contributor.advisorFraser, Duncan McKenzieen_ZA
dc.contributor.authorIsafiade, Adeniyi Jideen_ZA
dc.date.accessioned2014-07-31T11:09:22Z
dc.date.available2014-07-31T11:09:22Z
dc.date.issued2007en_ZA
dc.descriptionIncludes abstract.
dc.descriptionIncludes bibliographical references (leaves 153-157).
dc.descriptionName inverted on t.p.
dc.description.abstractThis study presents a new technique for synthesizing heat and mass exchange networks. The method involves generating superstructures using the temperature/composition interval concept from the physical insight approach. The superstructures are partitioned into temperature/composition intervals using the supply and target temperatures/compositions of either the hot/rich or cold/lean set of streams. The opposite kind of streams are made to participate (float) in all the intervals defined. Their ability to exchange heat/mass in these intervals is however subject to thermodynamic feasibility. The resulting superstructure is optimised as a mixed integer non linear programming (MINLP) model. The superstructure is hot/rich streams based if hot/rich streams are used to define the intervals otherwise it is cold/lean stream based.en_ZA
dc.identifier.apacitationIsafiade, A. J. (2007). <i>Interval based MINLP superstructure synthesis of heat and mass exchange networks</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering. Retrieved from http://hdl.handle.net/11427/5315en_ZA
dc.identifier.chicagocitationIsafiade, Adeniyi Jide. <i>"Interval based MINLP superstructure synthesis of heat and mass exchange networks."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering, 2007. http://hdl.handle.net/11427/5315en_ZA
dc.identifier.citationIsafiade, A. 2007. Interval based MINLP superstructure synthesis of heat and mass exchange networks. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Isafiade, Adeniyi Jide AB - This study presents a new technique for synthesizing heat and mass exchange networks. The method involves generating superstructures using the temperature/composition interval concept from the physical insight approach. The superstructures are partitioned into temperature/composition intervals using the supply and target temperatures/compositions of either the hot/rich or cold/lean set of streams. The opposite kind of streams are made to participate (float) in all the intervals defined. Their ability to exchange heat/mass in these intervals is however subject to thermodynamic feasibility. The resulting superstructure is optimised as a mixed integer non linear programming (MINLP) model. The superstructure is hot/rich streams based if hot/rich streams are used to define the intervals otherwise it is cold/lean stream based. DA - 2007 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2007 T1 - Interval based MINLP superstructure synthesis of heat and mass exchange networks TI - Interval based MINLP superstructure synthesis of heat and mass exchange networks UR - http://hdl.handle.net/11427/5315 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5315
dc.identifier.vancouvercitationIsafiade AJ. Interval based MINLP superstructure synthesis of heat and mass exchange networks. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Chemical Engineering, 2007 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5315en_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.titleInterval based MINLP superstructure synthesis of heat and mass exchange networksen_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
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