空气分段低nox燃烧技术的分析与应用

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1、上海交通大学工程硕士学位论文摘要神经网络进行改进。利用遗传算法优化神经网络结构，即寻找网络最优权值和阀值，经过结构优化后，NOx排放特性预测模型的误差进一步减小，网络性能也大大提升。在建立好NOx排放模型后，本文对各类NOx燃烧相关参数进行系统辨识，分析它们与NOx排放量之间的关系。最后，根据试验结果和实际工况，设计一套改进的锅炉燃烧配风方案（即辅助风档板开度设计方案），通过调整风门档板的开度，优化空气分段燃烧过程，从而有效降低锅炉NOx排放水平。改进后的锅炉燃烧配风方案是建立在原有配风控制参数的基础上，针对常用工况都进行了改进，因此具有一定通用性，改进后的效果也

2、通过NOx排放模型得以验证。此项设计为锅炉今后的优化燃烧控制提供了帮助，具有一定参考价值。关键词：空气分段，低NOx燃烧，神经网络，遗传算法2上海交通大学工程硕士学位论文ABSTRACTRESEARCHANDAPPLICATIONOFTHETECHNIQUEOFLOWNOxBURNINGWITHAIRSUBSECTIONABSTRACTNOxfromboilerfuelisoneofthemostprimarypollutiontotheatmospherecircumstance.Domesticgenerateelectricityindustryhastak

3、enthemeasureforcontrollingthecreationandexhaustofNOxtoprotecttheenvironment.Atpresent,theinternationalmeasuretoreduceNOxfromboilerburningcanbedividedinto2types.TheyarethetechniqueoflowNOxburningandsmokepurifying.InChina,theinvestmentofsmokepurifyingishigher.ThetechniqueoflowNOxburning

4、couldreducethedischargequantityundertheconditionofequipmentinvestmentslightlyadditionorwithoutaddition.Atthebeginningofthearticle,itsummarizesthethetechniqueoflowNOxfromtheboilerofcoalusingpowerplant,itincludesthemechanismofNOxcreationandsomeprimarytechniquesoflowNOxcontrolling.Thenin

5、troduceacontrollingtechniqueoflowNOxburning(thetechniqueoflowNOxburningwithairsubsection)whichwidelyusedcurrentlyindetails.Forexampleof300MWmachinewhichusingthistechniqueinWaiGaoQiao1上海交通大学工程硕士学位论文ABSTRACTpowerplant,Iintroducethealterationprojectandimplementationstatus,byparticledatas

6、toseetheefficiencyofthistechnique.ByanalysisandstudytheprocessofNOxburningwithairsubsection,wecanimprovetheeffectofNOxreductionbymeansofthistechnique.IestablishtheforecastmodelfortheNOxemissionspropertiesof300MWmachinewithBPNN,byallkindsofrealtimedatarelatedwithNOxemissions,toestablis

7、hthenon-linearrelationshipwithNOxemissions,thengettheconclusionthatthismodelhasabettergeneralizationcapabilityaftertest.Tofurtherimprovetheforecastaccuracyofthismodel,andreduceitsforecasterror,IalsoimprovetheBPNNinthisarticle.OptimizetheconfigurationofBPNNbymeansofgeneticalgorithms,th

8、atmea