Near-optimal operation of LNG liquefaction processes by means of regulation [Elektronische Ressource] / Steffen Heldt. Betreuer: Günter Wozny

De
orsitzender:Near-optimalAusspracopWerationDr.-Ing.ofBericLNGHaraldliquefactionDproPromotionsaussccesses.bProf.yhmeansderofiregulationhaftenvgenehmigteorussgelegtDr.-Ing.vertonter:Diplom-IngenieurG?nSteenyHeldtProf.ausTBerlinhaftlicv24.onBerlinderIngenieurwissenscF-akult?t-IDissertationIhIV-Prof.ProzesswissenschabilhaftenRudibderKingThecProf.hniscDr.-Ing.henterUnivozneBericrsit?tter:BerlinDr.-Ing.zurKleinErlangungagdeswissenscakhenademihe:scJunhen2011Grades2011Doktor83dernevAbstractterminWithThmomoreprothanop400trol0bcompletedconsideredplanalmosttariablesproerationjects,lthehEthanngineeringfactionDivisionregulatoryofconceptthecessLindetoAproGoinrankswhicamongtrolthedelsleaindvingacceptance,inhievternationalaplaneloptSMRconoptimaltractors,h-withork.foforcmaubinationsstonntheofkaseythemmarkleadsetconsegmeinherenntotsbolenrigorouspblanconts,ynaturaladvgasbasedplan,ts,amongairtrolseparationetterplanwhictsb,orkasstructureswhellproprietaryasproheration,ydrogentrolandwsynthisthesiskgasisplanparticularts.thIncreasedexistdemandariableandhcompvetitionrespfordisturbnaturalcompresourcestheforcegthevcustomerstrolledofkthxedeinherenLindealmostEngineerinSetsgvDivisionprotooptimalimprocommonlyvself-optimizingeTheythdeiroineeciencycessincanenergyinsandasmaterialloutilization.
Publié le : samedi 1 janvier 2011
Lecture(s) : 16
Source : D-NB.INFO/1014972000/34
Nombre de pages : 200
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orsitzender:Near-optimalAusspracopWerationDr.-Ing.ofBericLNGHaraldliquefactionDproPromotionsaussccesses.bProf.yhmeansderofiregulationhaftenvgenehmigteorussgelegtDr.-Ing.vertonter:Diplom-IngenieurG?nSteenyHeldtProf.ausTBerlinhaftlicv24.onBerlinderIngenieurwissenscF-akult?t-IDissertationIhIV-Prof.ProzesswissenschabilhaftenRudibderKingThecProf.hniscDr.-Ing.henterUnivozneBericrsit?tter:BerlinDr.-Ing.zurKleinErlangungagdeswissenscakhenademihe:scJunhen2011Grades2011Doktor83dernevAbstractterminWithThmomoreprothanop400trol0bcompletedconsideredplanalmosttariablesproerationjects,lthehEthanngineeringfactionDivisionregulatoryofconceptthecessLindetoAproGoinrankswhicamongtrolthedelsleaindvingacceptance,inhievternationalaplaneloptSMRconoptimaltractors,h-withork.foforcmaubinationsstonntheofkaseythemmarkleadsetconsegmeinherenntotsbolenrigorouspblanconts,ynaturaladvgasbasedplan,ts,amongairtrolseparationetterplanwhictsb,orkasstructureswhellproprietaryasproheration,ydrogentrolandwsynthisthesiskgasisplanparticularts.thIncreasedexistdemandariableandhcompvetitionrespfordisturbnaturalcompresourcestheforcegthevcustomerstrolledofkthxedeinherenLindealmostEngineerinSetsgvDivisionprotooptimalimprocommonlyvself-optimizingeTheythdeiroineeciencycessincanenergyinsandasmaterialloutilization.regulatoryDueSelf-optimizingtosevthetagesneedmooftroleciensimplicittopproyduction,Inmostbasedstate-of-the-artyplanatstionareconhighlymakinbinationtegratedteccompThisountods,conoptimizedLNGforcessescertainthedesitheg?nerthelessconditions.videAsoptheaconditionsconduringtecopniqueeraastiinownAveyarythereoffromthatdesignacondliquefactionitions,cess,adjuerestmenytsproofvinde-compwhicendenaretininputarianvwithariablesectareoptimalnecessaryainceorderensation.tous,kstrategyeepselectinthetheseplancesstsariablesatconoptimvum.andThiseepingisatreferredsetptotsastlyoptimaltodoptimalisturbanceeration.compofensation.trolledInariableshihgvidehtlyopautomatedareplanreferredtsas,conmostructures.delcanbasedeconetrollederusingtecprohniquesmosucandhthenasereal-timetaoptimizationledaresimpleusedtroltoopscalculatetheinputlaadjustmener.tsconforoersoptimaleraldisturbanceancompoensation.erHodelwconevsucer,astheseytechighhniqueseratorsuerreusabilitfrom,sevothers.eralgeneral,disadvdelancontagmaesacandearebthoptimiza-usaccuracynoself-optimizingstandardtrolfeaturehofessevcomeralofplanoththnologiestenecial.ypwesaimssucdevhself-optimizingastrolliqueedfornaturallique-gaprossuc(LNG)asliquefactionsimpleplancycle,ts.LindeInLIMUMorderitostructuABSTRAaCTconcycleewandd.thetecLinde/StatoilvpropyrietaeryorMFtionalCy?comprothecess.optimalitFplanorliquefactionsakeebofthehigheconomicallyqual-eittrolytrolledproconsistcessanmoindividualdels,ytheadvmoprodstudyeNewlthoftionedabspiralewwereoundinheatLIMUMexcprohanger,outthetomaFjortegritequipmenoftinofhLNGalleiqautionefactionproprosubsetcesses,size.wsupasthefurtherd,devielopwedenasnpartrandomlyofmothenLindesin-housethreesimcessesulatoroOPTISIMere?the.theTheticationimproresultsvvemennonlineartestigations.tooth,predecessorcyclemoCdelstheisstructuresthebconsiderationenecialofvmasstrolandtheenergyihold,-uprealizabilitonewfwstreamsestigatedandconsiderations.theconusevofrihighlybsophicansticatedofempiricallinearcorrelations.bina-TheofmoindividualdcesselariablewwithassetsatisfactorilyBesidetestedconceptualagaerioritiofnstnhistoricalmethomeasuremenitstancedata.nTheypubliclyasavvbailableamethoumericaldswithforgeneratedthetidendels.ticacotitrolorenforoefLNGselprof-optimizingmencon-abtrolvstructureswwcalculatedereyconsideredustoofonrestrictividenemethoasThetheywaresatisfactorilyonlyeriedcapableyofsteady-statecal-vculatingFcertainbstructurallythelimited?solutions.andDueMFto?thiscess,shortcoming,newatrolnewturnedidentoticaetibocomparednconmethoendconwstructures.asordevsakelopofed.nTheymethothedhnicalmanagesytothendconconstructuretrolasstructuresvinbwhicdynamicalhiieactheirAhiscwknoeningswledgemenrsetsecTheTpresenttsuwkork,ismthetheproyductforoftforwmlikysuppthreeryofearh.c.weration,orkthankasvaIdKleh.vforelopmenItgratefulengineerwhenatiiitheatience.departmeneciallytGabrieleofthroughoutInformationPh.D.TanecmhnologyenouragedforDr.-Ing.ProtercesscessDesigninandliConexternaltrolthesisofourthemLindethADr.G,AnlagenEngineeringersDivision.least,Duringedththeisendstime,bacIIcameortinmconenta2011ctatmospherewithandmanwytopmeoervisorpforleandwhiccohmIHampgratefulpformeassistingtracmehintosomeyself.formPorh.c.anotheroznduringofmandyestudies.ofI,justewhanervisiontPhtofornameadviceaFfew,terestknowwingethatntheret,wiIng.llChairalwProzesstecahnicalysybbutethanksomeoneeloleftioutpatienceorendlessforgotten.wSpwhicecialmthanksongothistoespDr.herAndreasconKr?nertrustforduringthehmotivnotatingLeipzig,andHiorkingnspiringanddiscussions,helpfulnessDr.pIInouldgoeThomasespforthankgivingymepdeepDr.erEnglinsighhertortincondenceuidthedynamics,uDr.ofJohann-G?ynthesis.tereSimonpur-forosefulnesshisdsuppersistanceorteptinonmaterialypropkertresearcyandcalculation,meDr.outgroMartinmH?feleProf.forhabil.hisrof.assistanceDr.inG?nsettingWupyofChairsimProulationDynamicsoOpwsheets,BDr.rlMartinInstitutePTottmhnologyanInkfortoproforofisreading,supMartinofKamannyfor.D.hisandguidehistoaluablecompressorduringtectalks.hnologyor,inMartininHerrmaynork,nlikfortosharingahiskknoco-referenwledgeProf.in-conHaraldtrolein,engineering,ofFundrankhnik,GieseecforUnivhisithinMunictsLast,onnotsoftIwmarebengineeringvandLDr.ndaKarstenherScthroughouthseeminglyulzeevfoandreekhisinorganizationalhsuppturnedortyandkforhermakingwritingthisthesis.wamorkeciallypforossible.suppAllandofvincemenmtoyincolleaguesyselfItimeslikresearcewtotthankstraighforard.theAugustgoSteenoeldtdwiv.Con.ten.ts.Abstract.i.A2.4.3c.kno.wledgemenntsoundii.i.Con.ten.ts.ivGoList.of.Figures.ix.List.of.T.ables2.4.2xi.Nomenclature.xii.i.Disclaimerofx2.4.4.2i2.4.5x.1.In.tro.duction.1op1.1.Motiv.ation....exc.....tro.......in...........deling.......dels...service.........equations......1.1.2.Bac.kgro.u2.3ndtiof.LNG............2.4.e...........2.4.1...............erimen.estigation....6.1.3.Previousmow.ork........2.4.4.............2.4.4.1.w.......for.......ation.........25.erning....7.1.4vCon.tributions....................13.Unit.era.o.s...........................148Spiral-w1.5hThesisatstructurehanger...................15.In.duction.........................16.Exp9talBibliographvy................17.Dynamic.deling.....................20.Mo.issues................9.2.Mo.deling2113Classication2.1oRelatedmow.ork........22.Signicance.LNG...........24.Conserv.equations...................2.4.5.1.v.uid....13.2.2.Material.prop.erties26...Con.ten.ts.2.4.5.2.Substan.tiation.of.mo.del74reductions............Motiv..27.2.4.5.3.Reduced.PD.AE.moModel....95.....97.study...........72....28.2.4.5.4.T3.6ransformation.in3.Ato.DCSDsAEs..V.....y...91..........30.2.4.6.Phenomenology....102.............3.4.3.............solution.....study........32.2.4.7.Dynamical.vmethoalidation....3.B.......C/.....problem...............of.ork....33.2.4.7.1practiceT.est.plan.torkoset-up............Ev.............vi.....69..33.2.4.7.2.Mo.deling.and.data.manip.ulation............Space....34.2.4.7.3.Sim.uAMlation.runs........3.5..........................37.2.4.8.Conclusionscom.............alence.ds.........85.of.3.d.......3.D..........40.2.588Refrigeration.cycles..............Practical.metho.Related...............4.2...............4.2.141.2.5.1.Steady-state.mo.dels......Data...........100.orator.............General......41.2.5.2.Dynamic.mo.dels..........3.4.2.ation.........................70.Obstacles....42.2.A.Stabilit.y.analysis.of.the.uid.mo.del....3.4.4.transformation.....................3.4.5.problem..43.2.B.Empi.rica.l.correlations........75.Numerical...........................78.Conclusions......46.Bibliograph.y..................81.PV.bination.ds.....................81.Equiv.of.metho..........50.3.New.results.on.self-optimizi3.CngdicationconB3WtrolB59A3.1methoRelated.w.ork..........86.MI.solution.........................Bibliograph................59.3.2.Mathematical.framew.ork........4.application.CSD.ds.4.1.w..........................60.3.395TheCSDGSVD.metho.d........................97.W.w......................66.3.4.A4.2.2dvacquisitionanced.con.trol.structures................4.3.ap.case....................69.3.4.1.Principles4.4.considerations.......................106...Con.ten.ts.4.4.1.LNG.liquefaction5.4.4pro.cesses......................pro..........106.4.4.2.Decision.measures.for.feedbac161k5.5.4and.adv.anced.con.trol....5109.4.5.Simple.SMR.cyGeneralcle/C3MR.pro.cess..................5.5................111.4.5.1.Degree5.6of.freedom5.Aanalysis......140.........analysis.5.1.......147........113.4.5.2.Mo.del?setup......mo.....strategy.....152.............5.4.5.......pro.......mo..114.4.5.3.CSD....................5.5.5...............measures...............y......115.4.5.4.Nonlinear.v.erication14.erabilit.LNG.es.w...............Motiv..............1171484.6.LIMUM.?.cycle......5.4...............5.4.1.analysis.........5.4.2.............COMB......119.4.6.1.Degree.of.freedom.analysis........................C..........121.4.6.2.Mo5.5.1delanalysissetup........5.5.2...............COMB..........................122.4.6.3.CSD............................erabilit.............vii................125Bibliograph4.6.4.Nonlinear.v.erication..........................1.Op.y.of.liq..cess.147127Related4.7orkMF.C.?.pro.cess....................5.2.ation...............................5.3128considerations4.7.1.Degree.of.freedom.analysis..............150.LIMUM.cycle................131.4.7.2.Mo.del.setup..151.Dynamic.del...................152.CONV......................132.4.7.35.4.3CSDstrategy.......................153.Comparison.........................154.Conclusions....133.4.7.4.Nonlinear.v.erication............159.MF.?.cess....................136.4.8.Conclusions..159.Dynamic.del...................159.CONV.............................5.5.3137.4.A.Ob.jectiv.e.function..................163.Comparison.........................164.Conclusions..138.4.B.Ev.ap.oration.pro.cess.mo.del......166.Conclusions.............................167.Op.y140.4.C.Mo.del.reduction................168...Con.ten.ts.5.A.1.RHPZ..Bibliograph.................GA,.............con...............5.A.5.and....170.5.A.2.CN5.A.6and.DCN............5.B.tuning.............................6.PR.CLDG170RDG5.A.3.Niederlinski.ind.ex..........173.MSV.............................174171PID5.A.4trollerR.GA......................174.y...............................17.viii171

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