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dc.contributor.authorJohn, Yakubu M.*
dc.contributor.authorMustafa, M.A.*
dc.contributor.authorPatel, Rajnikant*
dc.contributor.authorMujtaba, Iqbal*
dc.date.accessioned2018-08-16T13:48:00Z
dc.date.available2018-08-16T13:48:00Z
dc.date.issued2019-01
dc.identifier.citationJohn YM, Mustafa MA, Patel R et al (2018) Parameter estimation of a six-lump kinetic model of an industrial fluid catalytic cracking unit. Fuel. 235: 1436-1454.
dc.identifier.urihttp://hdl.handle.net/10454/16539
dc.descriptionYes
dc.description.abstractIn this work a simulation of detailed steady state model of an industrial fluid catalytic cracking (FCC) unit with a newly proposed six-lumped kinetic model which cracks gas oil into diesel, gasoline, liquefied petroleum gas (LPG), dry gas and coke. Frequency factors, activation energies and heats of reaction for the catalytic cracking kinetics and a number of model parameters were estimated using a model based parameter estimation technique along with data from an industrial FCC unit in Sudan. The estimated parameters were used to predict the major riser fractions; diesel as 0.1842 kg-lump/kg-feed with a 0.81% error while gasoline as 0.4863 kg-lump/kg-feed with a 2.71% error compared with the plant data. Thus, with good confidence, the developed kinetic model is able to simulate any type of FCC riser with six-lump model as catalyst-to-oil (C/O) ratios were varied and the results predicted the typical riser profiles.
dc.language.isoenen
dc.rights© 2018 Elsevier Ltd. Reproduced in accordance with the publisher's self-archiving policy. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.
dc.subjectFCC riser
dc.subjectModelling and simulation
dc.subjectSix-lumped model
dc.subjectParameter estimation
dc.titleParameter estimation of a six-lump kinetic model of an industrial fluid catalytic cracking unit
dc.status.refereedYes
dc.date.application2018-09-19
dc.typeArticle
dc.type.versionAccepted manuscript
dc.identifier.doihttps://doi.org/10.1016/j.fuel.2018.08.033
dc.rights.licenseCC-BY-NC-ND
refterms.dateFOA2018-08-16T13:48:04Z
dc.openaccess.statusopenAccess
dc.date.accepted2018-08-07


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