基于煤质全元素在线分析技术电厂优化配煤研究

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1、东南大学硕士学位论文ABSTRACTWiththerapiddevelopmentofourcountry’Sindustry,manyfactors，whicharetheincreasingconsumptionofcoal，thelackofthetransportcapacity,theasymmetricdistributingofcoalmineandthepolicyofnationaboutthatpowerboilercombustsinferiorcoal，inducethatthepowerpla

2、ntscombustsinglecoalimpossiblyforalongtime，therefore，thepowerplantshavetocombustblendedcoal．However,thequalityofblendedcoalisveryimportantforpowerplants’securityandeconomv．Thetraditionalmethodoflaboratorytestinghasthedisadvantageofrepresentationofpoorsampling，an

3、alysisoflongperiodandSOon，whichcannotmeetthedemandofpowerplantcoalblending．Therefore，ithasgreatsignificanttoapplyon-linecoalanalysisinthepowerplantcoalblendingsystem．Inthispaper,theequipmentsofon—lineelementanalysisareappliedinpowerplantcoalblendingsystem．Itover

4、comestheshortcomingsoftraditionalmethodsofchemicalanalysis．办emainworkinthispaperisorganizedasfollows：themathematicalmodelofcoaIindexiSestablishedbasedonon-lineelementanalysis；coalblendingmodeliSestablished；eoalblendingcontrolsystemisdesignedandsimulated．However,

5、theequipmentsofon．1ineelementanalysiscanonlydirectlydetecttheelementcontentofcoal．Firstly,inordertopredictperformanceindexofcoalseparately,theratioofcarbonandoxygenisselectedascharacterizationofcoalage，andcomplexbituminouscoaliscategoriedthroughthefisherorderedg

6、athering．111etypeofon-lineidentificationofcoalisachieved．Secondly,thevolatileofanthraciteandlignitecoalarepredictedbyCUlVefitting．Becausebituminouscoalismorecomplexthanthem，BPneuralnetworkmodelisestablishedtopredictvolatile．Finally,BPneuralnetworkmodelisestablis

7、hedtopredictcalorificvalueandashfusionofcoal．SimulationresultsshowthatCOalelementalanalysisindexCallbeaccuratelypredictedincoalindustrialanalysisindexandperformanceindex(calorificvalueandashfusion)．SOastoprovidereal．timedataforcoalblendingandboileroperation．Thro

8、ughanalysisofadditiveindexofcoal，combustioncharacteristiesanddiscriminantcriterionofblendedcoal．theoreticaloptimizationmodelofblendedcoalisestablished．Theoreticalmode