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1、重慶大學(xué)碩士學(xué)位論文火電機(jī)組在線(xiàn)熱經(jīng)濟(jì)性分析系統(tǒng)開(kāi)發(fā)姓名:謝雯申請(qǐng)學(xué)位級(jí)別:碩士專(zhuān)業(yè):動(dòng)力工程指導(dǎo)教師:何祖威陳樹(shù)森20040501里鏖查堂堡主蘭些堡奎墨奎塑蔓ABSTRACTHi曲efficiencyisallimportantstandardbywhichpeopledeterminewhetherapowergenerationtechnologyisadvancedornotThecombinedcyclepowergenera
2、tionburningnaturalgasandcoalbasedgashasbecomeapracticalpowergenerationtechnologywhichismoreandmorepopularworld—wideforitsbothadvantagesofcleanness(energy)andhighefficiency(methodofpowergeneration)Inthispaperwhichresearch
3、esinto200Mwthermalpowerunitasitsobjectofstudycarriesoutcalculationsonthevariableratedperformanceofthesteam—gasturbinecombinedoperation,utilizinganintegratedmethodoftheoreticanalyticsandartificialneuralnetAsetofsoftwaresy
4、stemapplicabletomonitotingofplantperformancehasbeendevelopedbasedonthecalculations,whichisusedtaisetheefficiencyofacombinedcycleplanttoachievelargestpossibleeconomicprofitThisessayhastoucheduponthefollowingwork:①Hasbuilt
5、uptheoreticmodelsincludingstaticmathematicmodelsofaircompressorcombustionchambergasturbine,wasteheatrecoveryboilerandsteamturbinewhicharededucedaccordingtothefeatureandtheoryoftheequipmentoftheobjectofstudyUponestablishm
6、entofeachmodelbasedontheactualconditions,amethodofmultipleimitationandcombinationisappliedtopartswhichhavealreadygotcharacteristiccurvestohaveachieyedquiteaccuratecurveswhilstthemethodofneuralnetisappliedtothepartswhichh
7、avenocharacteristiccurvesforestablishmentofmodeIs②Hascarriedoutalotofonsiteteststotestparametersofeachsystemsectionunderdifferentconditions,whichiSusedasabasisforcorrectionoftheoreticmodels③Hascalculatedvariousparameters
8、inthetheoreticmodelsaccordingtothetesteddatumonsiteandthetheoreticmodels④HasanalyzedanddeterminedthemethodforthissoftwaresystemtoobtaininformationfromexistingnetworkequipmentThisessayhasachievedthefollowingfindingsviaits
9、research:①Hasanalyzedvariouspowerplantstructurescenteredbyagas—steamturbineunitbasedonitsreferencestolargeamountoftechnicaldocumentation,ithasalsoanalyzedpossiblewaysofrestructuringofChina’Spowerindustry②Hasworkedoutther
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