采用TUD模型动态模拟倒置A2O工艺运行工况

TUDA2/O郝晓地1,宋虹苇1,2,胡沅胜1,郝二成3,周军3,甘一萍3,王洪臣3(1.北京建筑工程学院可持续环境生物技术研发中心,北京100044;2.内蒙古工业大学土木工程学院,内蒙古呼和浩特010051;3.北京城市排水集团有限公司,北京100063):在进行动态模拟前,首先对3组现场检测的水质水量数据进行物料平衡检查,目的是校核实测数据的准确度通过物料平衡分析发现,只有2组数据的物料平衡准确度合格,另外1组为无效数据利用静态模拟建立并校正过的工艺模型对2组有效数据进行动态水质模拟,发现预测结果与实测值的吻合度至少为80%~90%在此基础上,对典型水量日变化曲线(24h)下的动态进水负荷进行模拟以预测出水水质的变化趋势,揭示动态负荷下出水水质的变化规律以及保持良好水质所应采取的运行对策动态模拟结果具有较高吻合度这一事实表明,数学模拟技术完全可用于我国污水处理厂运行问题诊断以及运行优化方案的制定与实施:污水处理;倒置A2/O工艺;TUD模型;动态模拟;物料平衡检查;数据吻合度:X703.1:C:1000-4602(2007)16-0085-05:/0(BJE10016200611);(8052011)DynamicSimulationofReversedA2/OProcessbyTUDModelHAOXiao-di1,SONGHong-wei1,2,HUYuan-sheng1,HAOEr-cheng3,ZHOUJun3,GANY-iping3,WANGHong-chen3(1.R&DCenterforSustainableEnvironmentalBiotechnology,BeijingUniversityofCivilEngineeringandArchitecture,Beijing100044,China;2.SchoolofCivilEngineering,InnerMongoliaUniversityofTechnology,Hohhot010051,China;3.BeijingDrainageGroupCo.Ltd.,Beijing100063,China)Abstract:Beforedynamicsimulation,threesetsofmeasuredon-sitedataonbothwaterquantityandwaterqualitywerecheckedformassbalancewiththepurposeofaccuracycalibrationofmeasuredda-ta.Themassbalanceindicatesthatonlytwosetsofmeasureddataareeffectiveinaccuracy.Withanes-tablishedprocessmodelandvalidatedmodelparameters,thedynamicsimulationoftheeffectivedatashowsacoincidenceofatleast80%to90%betweenpredictedandmeasureddata.Furtherdynamicin-fluentloadingratesimulationundertypicaldailyvariationfortheeffluentqualitychangerevealsanefflu-entqualitytrendandacorrespondingoperationalmode.Thedynamicsimulationwiththehighcoinc-idenceimpliesthatthesimulationtechniquecanbereliablyappliedintotrouble-shootingandoptimizationofWWTPsinChina.Keywords:wastewatertreatmen;treversedA2/Oprocess;TUDmode;ldynamicsimula-tion;checkingmassbalance;datacoincidence#85#第23卷第16期2007年8月中国给水排水CHINAWATER&WASTEWATERVo.l23No.16Aug.2007(ASMsTUD[1~5])[6](COD),[78],A2/O;[6],COD,,,,,[8]A2/O,,A2/O,1物料平衡分析1112005411)22525)6382)123,,,1,1A2/OFig.1FlowchartofmassbalanceofreversedA2/Oprocess[9]¹,(),:Qi=Qe+Qs(1)Qi))),,m3/d,Qi=Qin1+Qin2Qe))),m3/dQs))),m3/dº,1,Qi(Pi)2:Qe(Pe),Qs(Ps):Pi=Pe+Ps(2)»,Qi(Ni);Qe(Ne)Qs(Ns),(Nd):Ni=Ne+Ns+Nd(3)N2,(3),(TKN)(3)TKNQiTKN(Nki),QeTKN(Nke)Qs(Nks),TKN,TKN(Nn),:Nki=Nke+Nks+Nn(4),TNTKN,NiUNki¼(COD),:CODi=CODe+(OUR-4.57@Nn)+(Nd@2.86)+(QS@Gs,org@1.42)(5)OUR))),kgO2/d,OUR,,(Nn)4.57))),kg-#86#第23卷第16期中国给水排水)))COD(1kg-NO-3-N2.86kgO2),O2(NO-3)COD1.42)))VSSCOD,kg-COD/kgVSSGs,org)))VSS,kgVSS/m3Qs))),m3/d½SSSRT()SS[Ga@(Qi+Qrs)]SS(Qi@Gi),(Qrs@Grs),:Ga@(Qi+Qrs)=(Qrs@Grs)+(Qi@Gi)(6)Ga)))MLSS,kgMLSS/m3Qrs))),m3/dGrs)))MLSS,kgMLSS/m3Gi)))MLSS,kgMLSS/m3,QiQrs,,,SRT,,:Qs=Ga@Va/(Grs@SRT)-Ge@Qe/Grs(7)112,,,,¹411)22a.Pi=Pe+PsPi=Qi@TPin=39255@4.65=182536g/dPe+Ps=Qe@TPeff+Qs@TPs=38081@2.5+1174@60=165643g/d90.7%b.Ni=Ne+Ns+NdNki=Nke+Nks+NnNki=Qi@TKNi=39255@48.2=1892091g/dNke+Nks+Nn=Qe@TKNe+Qs@TNs+Qe@NOn=25.5@38081+250@1174+11@38081=1683457g/dNkiUNiNd=Nki-Ns-Ne=48.2@39255-250@1174-38081@33.4=326686g/d89.0%c.CODi=CODe+(OUR-4.57@Nn)+(Nd@2.86)+(Qs@Gs,org@1.42)CODi=Qi@CODin=210@39255=8243550g/dCODe+OUR-4.57@Nn+Nd@2.86+Qs@Gs,org@1.42=39.7@38081+3998938-4.57@38081@11+2.86@326686+1174@1541@1.42=7099714g/d,OUR(9.5m3/s)(8%):OUR=9.5@3600@24@0.29@1000@0.21@8%=3998938kg/d86.1%d.SSGa@(Qi+Qrs)=(Qrs@Grs)+(Qi@Gi)Ga@(Qi+Qrs)=1234@(39255+40496)=98412734g/dQrs@Grs+Qi@Gi=40496@2090+39255@85=87973315g/d89.4%e.SRT(95%)Qs=Ga@Va/(Grs@SRT)-Ge@Qe/GrsQs=1174m3/d,Va=16083m3,Ga=1234g/m3,Grs=2090g/m3Qe=38081m3,Ge=10.5g/m31174=1234@16083/(2090@SRT)-10.5@38081/2090SRT=6.96d,98%º82)12,82)12PNCODSS99%94.5%81.4%87.8%(SRT=6.35d,94.5%)525)63,SRT90%,#87#郝晓地,等:采用TUD模型动态模拟倒置A2/O工艺运行工况第23卷第16期2动态模拟,411)2282)12A2/O23411)2282)122411)22Fig.2DynamicallysimulatedresultsfordataonApril11-22,2005382)12Fig.3DynamicallysimulatedresultsfordataonAugust2-12,200523,,CODTSSTNTPQsNH+4-NNO-3-N,,,#88#第23卷第16期中国给水排水(10d),10dAQUASIM,24h,4424hFig.4Dynamicallysimulatedeffluentfor24hinfluentvariation4a,24hCODTSS,COD40~45mg/L,TSS11~15mg/L4b,TNNO-3-N,TN17~20mg/L,NO-3-N15~17mg/L,NH+4-NTP,NH+4-N0~10mg/L,TP1~3mg/L,TNNH+4-NTPNO-3-N0.64d,,,24h,4结语,10%,,COD;,80%~90%,:[1]HenzeM,GradyCPLJr,GujerW,etal.ActivatedSludgeModelNo.1[A].IAWPRCScientificandTechn-icalReportNo.1[C].London:IAWPRC,1987.[2]HenzeM,GujerW,MinoT,etal.ActivatedSludgeModelNo.2[A].IAWPRCScientificandTechnicalReportNo.3[C].London:IAWQ,1995.[3]HenzeM,GujerW,MinoT,etal.ActivatedSludgeModelNo.2d,ASM2d[J].WaterSciTechno,l1999,39(1):165-182.[4]GujerW,HenzeM,MinoT,etal.ActivatedsludgemodelNo.3[J].WaterSciTechno,l1999,39(1):183-193.[5]MurnleitnerE,KubaT,vanLoosdrechtMCM,etal.Anintegratedmetabolicmodelfortheaerobicanddenitrifyingbiologicalphosphorousremoval[J].BiotechnolBioeng,1997,54(5):434-450.[6],,,.TUDA2/O[J].,2007,23(5):1-4.[7]RoeleveldPJ,vanLoosdrechtMCM.ExperienceswithguidelinesforwastewatercharacterizationintheNether-lands[J].WaterSciTechno,l2002,45(6):77-87.[8],,,.)))(COD)[J].,2007,23(13):7-10.[9]MeijerSCF.Theoreticalandpracticalaspectsofmode-lingactivatedsludgeprocesses[M].Delft,theNether-lands:DelftUniv