tamu biochemical reactor modeling and simulation

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Biochemical Biochemical Reactors Reactors Modeling Modeling and and Simulation Simulation M.C M.C. . Luis Luis E. Castro E. Castro Universidad Universidad Autonoma Autonoma de de Coahuila Coahuila

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Page 1: Tamu Biochemical Reactor Modeling and Simulation

BiochemicalBiochemical ReactorsReactorsModelingModeling andand SimulationSimulation

M.CM.C. . LuisLuis E. CastroE. CastroUniversidad Universidad AutonomaAutonoma de de

CoahuilaCoahuila

Page 2: Tamu Biochemical Reactor Modeling and Simulation

ObjectiveObjective

§§ TheThe objectiveobjective ofof thisthis talktalk isis toto illustrateillustrate a a visual visual metodologymetodology ((SimulinkSimulink) ) toto modelmodel andandsimulatesimulate a a biochemicalbiochemical reactor, in reactor, in orderorder totoinvestigateinvestigate hishis dynamicdynamic behaviorbehavior andand steadysteadystatestate responseresponse

Page 3: Tamu Biochemical Reactor Modeling and Simulation

BackgroundBackground

§§ BiochemicalBiochemical reactorsreactors are are usedused in a in a widewidevarietyvariety ofof processesprocesses, , fromfrom wastewaste treatmenttreatmenttoto alcohol alcohol fermentationfermentation..

§§ BiomassBiomass ((cellscells) consume ) consume substratesubstrate ((sugarsugaroror wastewaste chemicalschemicals) ) andand produce more produce more cellscells..

Page 4: Tamu Biochemical Reactor Modeling and Simulation

DiagramDiagram§§ A A typicaltypical control control andand instrumentationinstrumentation

diagramdiagram, , withwith biomassbiomass concentrationconcentration as as thethe measuredmeasured output output isis shownshown belowbelow

Page 5: Tamu Biochemical Reactor Modeling and Simulation

ModelModel

§§ TheThe modelingmodeling equationsequations forfor thethe bioreactorbioreactorareare

§§ dXdX//dtdt = (u = (u –– D)XD)X

§§ dSdS//dtdt = = D(SfD(Sf –– S) S) –– uXuX/Y/Y

Page 6: Tamu Biochemical Reactor Modeling and Simulation

WhereWhere§§ TheThe statestate variables arevariables are

§§ X = X = biomassbiomass ((cellcell) ) concentrationconcentration§§ = = massmass cellscells//volumevolume

§§ S = S = substratesubstrate concentrationconcentration§§ = = massmass substratesubstrate//volumevolume

§§ TheThe manipulatedmanipulated inputinput isis D = D = dilutiondilution raterate§§ = F/V = = F/V = volumetricvolumetric flowflow raterate/reactor /reactor volumevolume

§§ TheThe disturbancedisturbance inputinput isis§§ SfSf = = substratesubstrate feedfeed concentrationconcentration

Page 7: Tamu Biochemical Reactor Modeling and Simulation

KineticsKinetics

§§ TwoTwo possiblepossible expressionsexpressions forfor thethe specificspecificgrowthgrowth raterate are are MonodMonod andand substratesubstrateinhibitioninhibition kineticskinetics, , wichwich includeinclude, , amongamongothersothers

§§ U = U = umaxumax S / (S / (KsKs + S) + S) …….. .. MonodMonod

§§ U = U = umaxumax S / (S / (KsKs + S + K1 S+ S + K1 S22))…… substratesubstrateinhibitioninhibition

Page 8: Tamu Biochemical Reactor Modeling and Simulation

SteadySteady StateState andand DynamicDynamic BehaviorBehavior

§§ WeWe use use thethe followingfollowing parametersparameters forfor a a modelmodelwithoutwithout substratesubstrate inhibitioninhibition, , forfor thisthis studystudy§§ UmaxUmax = 0.53 = 0.53 hrhr--11§§ KsKs = 0.12 g/= 0.12 g/literliter§§ K1 = 0.4545 K1 = 0.4545 literliter/g/g§§ Y = 0.4 (Y = 0.4 (biomassbiomass yieldyield))§§ DilutionDilution raterate = D = 0.3 = D = 0.3 hrhr--1 = 0.3/1 = 300/10001 = 0.3/1 = 300/1000

Page 9: Tamu Biochemical Reactor Modeling and Simulation

ModelModel ((MatlabMatlab SimulinkSimulink®®))

Page 10: Tamu Biochemical Reactor Modeling and Simulation

D ModuleD Module

Page 11: Tamu Biochemical Reactor Modeling and Simulation

Load Load ScenariosScenarios ModuleModule

Page 12: Tamu Biochemical Reactor Modeling and Simulation

dXdX//dtdt = (u= (u--D)XD)X

Page 13: Tamu Biochemical Reactor Modeling and Simulation

dSdS//dtdt = = D(SfD(Sf--S) S) –– uXuX/Y/Y

Page 14: Tamu Biochemical Reactor Modeling and Simulation

LoadingLoading ScenarioScenario 11

§§ 1.1.-- Sine Sine wavewave loadload§§ SfSf = 2 + 4sin(0.1t)= 2 + 4sin(0.1t)

Page 15: Tamu Biochemical Reactor Modeling and Simulation

ModelModel response response underunder L1, X L1, X vsvs tt

Page 16: Tamu Biochemical Reactor Modeling and Simulation

ModelModel response response underunder L1, S L1, S vsvs tt

Page 17: Tamu Biochemical Reactor Modeling and Simulation

LoadingLoading ScenarioScenario 22

§§ 1.1.-- StepStep loadload§§ SfSf = 4.0 g/= 4.0 g/literliter

Page 18: Tamu Biochemical Reactor Modeling and Simulation

ModelModel response response underunder L2, X L2, X vsvs tt

Page 19: Tamu Biochemical Reactor Modeling and Simulation

ModelModel response response underunder L2, S L2, S vsvs tt

Page 20: Tamu Biochemical Reactor Modeling and Simulation

SteadySteady statestate conditionsconditions

§§ TheThe processprocess has has thethe followingfollowing steadysteady--statestatesolutionssolutions ((operatingoperating pointspoints).).

§§ L2 L2 scenarioscenario..

§§ X = 1.5374X = 1.5374§§ S = 0.16S = 0.16

Page 21: Tamu Biochemical Reactor Modeling and Simulation

ConclusionsConclusions§§ ItIt waswas shownshown thethe usefullnessusefullness ofof thethe productproduct MatlabMatlab SimulinkSimulink forfor

modelingmodeling time variable time variable andand steadysteady statestate conditionsconditions forfor a a MonodianMonodianChemostatChemostat withoutwithout recirculationrecirculation

§§ TheThe simulinksimulink platformsplatforms allowsallows toto use use directdirect visual visual instructionsinstructions forfor modelmodelallall operationsoperations involvedinvolved in in thethe solutionsolution ofof differentialdifferential equationequation’’ss systemssystemsdirectlydirectly

§§ SimulinkSimulink allowsallows toto investigateinvestigate differentdifferent load load scenariosscenarios

§§ SimulinkSimulink uses uses solversolver schemesschemes wellwell documenteddocumented in in otherother partsparts ((SeeSee by by exampleexample, , BurdenBurden & & FrairesFraires))

§§ TheThe dynamicdynamic behaviorbehavior andand steadysteady statestate conditionsconditions waswas shownshown onongraphicgraphic formform..

Page 22: Tamu Biochemical Reactor Modeling and Simulation

ReferenceReference

§§ TheThe parametersparameters usedused in in thisthis module module werewerepresentedpresented in in thethe followingfollowing paperpaper ((ourour resultsresultsshow show consistencyconsistency withwith thethe correspondentcorrespondentresultsresults presentedpresented therethere))

§§ AgrawalAgrawal, P , P andand H.CH.C. . LimLim, , ““AnalysesAnalyses ofofVariousVarious control control schemesschemes forfor continuouscontinuousbioreactorsbioreactors”” Adv. Adv. BiochemBiochem. . EngEng. . BiothechnolBiothechnol, , 3030, 61, 61--90, (1984)90, (1984)

Page 23: Tamu Biochemical Reactor Modeling and Simulation

ContactContact

§§ LuisLuis E. CastroE. Castro--SolSolííss

§§ M.CM.C. . EnvironmentalEnvironmental EngineeringEngineering (ITESM 2000)(ITESM 2000)§§ Civil Civil EngineeringEngineering (UA de C, 1990)(UA de C, 1990)

§§ Departamento de Postgrado e InvestigaciDepartamento de Postgrado e Investigacióónn§§ Facultad de IngenierFacultad de Ingenierííaa§§ Universidad AutUniversidad Autóónoma de Coahuilanoma de Coahuila

§§ ee--mail: [email protected]: [email protected]