燃煤电站锅炉灰污在线监测与优化吹灰系统研究

华中科技大学硕士学位论文燃煤电站锅炉灰污在线监测与优化吹灰系统研究姓名：刘定坡申请学位级别：硕士专业：热能工程指导教师：陆继东20050406I300MW300MWDASCFCFCFIIABSTRACTAshdepositionandslaggingonboilerheatexchangesurfacesisacommonphenomenoninfossilfuelfiredpowerplants.Thisthesisfocusesonthebuildingasuitablemodelofsootdepositionstatusofheatsurfaces,andconstructsaon-linemonitoringsystemforheatexchangesurfacesbasedonthebuiltmodel.Alloftheworkisbasedona300MWboiler.First,thethesisintroducestheendangermentofsootdepositiononboilerheatexchangesurfaces.Inordertoreducethelossduetofoulingoftheheatexchangesurfacesandimproveeconomicefficiencyoftheboiler,itisnecessarytomonitorthefoulingstatuesofheatexchangesurfacesandpredictitsdevelopment,thensootblowerscanbescheduledproperly.Subsequently,thethesismakesacomparisonofotherfoulingmonitoringsystemsforboilerheatexchangesurface.Andthethesisintroducesthesoftwareandhardwareofcommonsootblowingsystems,whicharethefundamentofsootblowingoptimization.BasedonthedatafromDASofpowerplantandusingheatingbalancetheory,thethesisputsforwardsfoulingmonitoringmodelsforboilerheatexchangesurfacesincludingsuperheaters,reheatersandeconomizer.Cleanlinessfactor(CF)isusedtoassessthefoulingstatuesofeachsurface.Usingpressuredifferencemethod,thefoulingmonitoringmodelforrotary-typeairpreheaterisbuilt,andthenthesemodelsaretested.AfteranalyzedthemodelshortageofusingCFassolelymonitoringparameter,thenewfuzzymodelofoptimizedsootblowingmonitoringsystemisbroughtforward.TheinputparametersofthemodelsareCF,walltemperatureofeachheatingsurfaceandloadofplant.Theoutputisthedegreeofconfidenceofsootblowing.Atlast,themodelisusedtosimulatetheashingdegreeofeconomizersurface.Theresultshowsthemodelimprovestheprecisionoffoulingmonitoringinutilityboilersandissuitableforthefoulingprocessofheatingsurface.Usingtheoutletgastemperatureoffurnaceasparameter,thewholefoulingmonitoringoffurnaceisbuilt.Twomethodsarediscussedwhichareheatingfluxandtemperaturedifferenceofthefurnacewaterwall.IIIFinally,thethesissummarizesthestudiesandputsforwardproblemsforfurtherstudies.Keywords:deposition,slagging,fouling,on-linemonitoring,optimizingsootblowing,fuzzymodel,convectionheatsurface,furnace11[1]1.1(1)2(2)Na2OK2OSO3(3)()()[1]31.21.2.1[2][3][4]2.5mm300MW3000t/d20MJ/Kg15450t/d1-161025385000h12301400125MW1530412200MW15180.91.21-12/WmK⋅/WmK⋅1.11.71042020040100.033.011500MW800/1.2.2SCl1.2.3519933101#1.31.3.1——6488241%0.7%[5]0.1%[6]220t/h18202mm/a7[7][8]1.3.21.4[5],[9~18]1.4.1[19][20]1823Afonso1.4.2[10]BMS9BMSN0xStandinger5DataAcquisitionSystemDAS[21]EcxerdStandinger5DAS[22][23]/300MW111600MW[5][18][24][25][26]1.510DCSCF3300MWDCS1122.1[27](),,300MW600MW3(2-1):(1)10(2)8020012342-112(3)2002.22.2.1[28]Ebrahinmi-Sabet[29]Kaliazine[30]Kermani[31]13Uloth[16][32]Kaliazine[33][34]()()()2.2.2[35](1)(2)142.2.2.1[35]1,300,,,,150304023///154,,,,,,,,,2.2.2.2[3640]12162.3[40~43],IPCPLCMCC2.3.12.3.1.1:a.b.c.(PLC)a.b.CPUIOc.d.2.3.1.2MSDOS()WanderverINTOUCH172.3.2,A/D,CRT(17m,,,)(1)()(2)UC(3)(4)(5)(6)2.3.3(1)()(2)()(/)()(3)AF18(4)/()(5)()(/)()2.4192.5DAS[44]DASDASDAS1.a.b.c.15msd.2.a.b.c.d.e.f.g.3.a.15ms20b.300MW128c.e.4.5.a.b.c.d.CRT6.a.b.5min5min7.a.b.8.219.DASDAS2.6DAS223DCS3.1——33.1.11025t/h∏3#3-13-1233-1540540243-1MPa18.5680333t/h5.1(MCR)/31.7(ECR)37723t/h1.3(MCR)/5.4(ECR)62kg/s90010.70.5mmH2O-2~-6155413.5~4.0MPa17.60144.3541MPa4.17395kg/s939.5kg/s831.25MW3003.1.23#1243-23-2690.55kW107481.5kW1R14R33915R48R41951.5W35720.55kW143-225p=18.9MPat=450p=18.85MPat=495p=1.31.96MPat3002.62MPa2.76MPa2352043303-226PLC//AHFRAAHFRA/PLC3.2[4]27[5]3.2.1[45][46]()'/dxjQDiiB=−(3-1)dxQkJ/kgDkg/s'iikJ/kgjBkg/s()0'ldfIIIQα∆+−Φ=(3-2)Φ'IIkJ/kg0lIkJ/kgα∆dxdfQQ=3-13-2'I3-3'()giTftI=(3-3)ftgiT283-4lndxdxttttt∆−∆∆=∆∆(3-4)t∆dt∆xt∆dt∆xt∆1.7dxtt∆≤∆1()2dxttt∆=∆+∆(3-5)3-6sjK)/(HtQBkdcjsj⋅∆⋅=(3-6)dcQkJ/kgsjkkW/(m)t∆Hm2fQ()'f/QdxjQDiiB=−−(3-7)3.2.2[47]3-31.dαfα1dfααα292.hδhλ3.mδdt∆4.gδgλ5.2α3-35(3-8)k(kW/(m))(3-9)(3-10)1211ghmhmgRδδδαλλλα=++++11112kghmhmgδδδαλλλα=++++12111lxkαα=+qtwtsrwrs303-11(3-11)kW/(m)d——mRe——Reulυ=ulυPr——Prpcηλ=ηpcλlC——zC——sC——mn——(3-12)ba——a——TT——bT——l3.2.3[47]sjklxkCFCleanlinessFactorCF=1CF1CFRePrnmconvlzsCCCCdλα=831()14.91021lbbradbTaTaTTTα−−+=×−31(3-13)sjkkW/(m)lxkkW/(m)3.2.43-453-41.12.DAS3.sjlxkCFk=324.DAS3-43.3[4851]3.3.1CFDAS333-14200jzsxxxjBPPBαα∆=∆×(3-14)zsP∆xP∆Pa0αxα0jBxjBkg/h5%3-14O23-1522121Oα=−(3-15)DCS3-143-1622,02,021-21-xzsxxOMWPPOMW∆=∆×(3-16)2,0O2,xO5%0MWxMWMWCF343-16zssjP∆zslxP∆zszssjlxPCFP∆=∆(3-17)3.3.23#3DAS123-5CFCFCF3-5CF3.43.2CFCF35CFCFCFCF3.4.1CFCFBELD36BLCF[0,1],[-5,5]{}{SOB}BE[0,1][-5,5],{}{SOB}LD[0.5,1][-5,5]{}{SOB}BL:[0,1],[-5,5]{}{SOB}BLBL{}3.4.2[51]3-2LDCFBLLDCFBL37BEBLCFBLCFBL3-2SOBSOBBOSOBBSSS3.4.33-6[52][53]DCSCFCF[54]BLBLM1M0BLM1BLM0M0BLM1LDBLCF383.3.4300MW3DAS113-6YesCFYesIfYesNoNoYesIfBLIfBLM1IfBLM0No39CF3-7CF8%CF3-83-9BLBLM1BLM03-73-93-93-7CF403-83.5CF3-9BL414[55],,,,4.1''lθ424.1.14%[1]404.1.2ζ''0.63011lallajpjTTFaTMBVCσψϕ=+(4-1)''lTKaTK0σ8245.6710/(.)WmK−×pjVC1/(.)kJkgK43jB/kgsϕla(1)hylhyhyaaaaψ=+−hyaψxitsqqψ=xζxiq2/Wmtsq2/WmM0.560.5mMx=−mx--lF2m''()/xijpjallqBVCTTFϕ=−(4-2)4-24-