公共建筑用土壤源热泵机组运行性能测试分析及其模拟预测

南华大学硕士学位论文公共建筑用土壤源热泵机组运行性能测试分析及其模拟预测姓名：张信树申请学位级别：硕士专业：供热、供燃气、通风与空调工程指导教师：刘泽华20070501I21200520.622.513.7%14.8%16-2020%5%10-1535%20057.(BP)2R22hpCOP4.15COP3.65COP2.6438.26%II2.9653.9%E=1.01E0.65-0.744.29%-55.38%BP326BPBP9.70%[]BPIIIAbstractSincethe21stcentury,energysourceshavebecomebottleneckrestrictionstothesustainedandrapiddevelopmentofeconomyinChina.In2005,accordingtothedatafromtheNationalDevelopmentandReformcommission,itdisplayedthatChinabecamethe2ndbiggestmanufactureandconsumptioncountryintheworld,wherethetotalyieldingcapacityofprimaryenergyis20,600milliontonsofStandardcoal,occupying13.7%oftheworld,aswellasthetotalconsumptionquantityis22,500milliontonsofStandardcoal,occupying14.8%oftheworld.Energyconservationhasbecomethehottopicinchina.Everywalkoflifeactivelydiscusseshowtolaunchtheworkofenergyconservation.Chinesegovernmentalsounveilsfreshpolicyontheenergyconservation.Inarchitecturearea,thereareabout16,000millionto20,000millionm2newly-builtbuildingseveryyear,about20percentsofwhicharepublicbuildings.Lessthan5percentsofallthenewly-builtbuildingscanreachtheEnergyEfficientBuildingDesignCriteria.Generallyspeaking,thefullyearpowerconsumptionofunitfloorareainpublicbuildingis10to15timesmorethanintownhabitationbuilding.Thepowerconsumptionofgeneralheating&air-conditionsysteminpublicbuildingisupto35percentsofthetotalpowerconsumption,whichmakesuseofelectricitytooffercoolairinsummeraswellasboilertosupplyheatinwinter.ThegovernmentissuedEnergyConservationDesignCriteriainPublicBuildinginjuly,2005,inwhichminimumEERisruled.Findingoutonekindofhighefficientcooling&heatingsystemtotakeplaceofthegeneraloneisveryimportanttotrulycometruethepublicbuildingenergyconservation.Thesoil-sourceheatpumpisonekindoflate-modelair-conditiontechnology,containingfeaturesofhighefficient,energy-efficientandenvironmentally-friendly.Itcansupplyheat,coolandhotwateratthesametime.Intheoretically,itcancometrueenergyconservationwhenusinginpublicbuildings.Theapplicationofsoilsourceheatpumpsysteminpublicbuildingjustbeginsinchina,howaboutitsoperatingcharacteristicandoperatingstabilityhaveattractedtheattentionoftheHVACaera.Thetexthasmeasuredthewinteroperatingchracteristicofthesoilsourceheatpumpsysteminonewritingbuildinginbeijingcity.Basedonthemeasureddatas,thepaperhasfoundedtheforecastingmodelofthesoilsourceheatpumpunitbyartificialneuralnetwork(BPnetwork).IVReasearchesonthethermodynamicrecurrentperformanceandwinteroperatingperformanceoftheR22semiclosedscrewheatpumpunithaveconductedatfirstinthe2ndchapter.Fromtheanalysis,itconcludesthatthehpCOPofthesoilsourceheatpumpunitis4.15.Thetheoryanalysisalsoofferstheoreticalsupportforthefollowingchapters.Takingoneofficebuildinginbeijingasmeasuredobject,theauthorteststhecirculatingperformanceofsoil-sourceheatpumpsysteminearlycoldperiodandlatecoldperiod.Fromtheresult,itcanconcludethattheaverageCOPofthetwoheatingperiodsis3.65,38.26percentshigherthantheaverageCOPofairsourceheatpump(whichCOPis2.64).Atthesametime,comparesandanalysisoftheoutletwatertemperatureandinletwatertemperatureinevaporatorandcondenserinthetwodifferentheatingperiodsareconducted.Theinletwatertemperatureofevaporatordeclines2.96afterawholeheatingperiod,whichmaybecausedbythedescentoftheundergroundsoiltemperature.Intheenergyconsumptionsection,thecostsofairsourceheatpumpis53.9percentshigherthanthatofthesoilsourceheatpump.Contrastingwithheatingbyboiler,theutilizationcoefficientofprimaryenergyofthesoilsourceheatpumpis1.01,whichis44.29percentsto55.38percentshigher.Theartificialneuralnetworkcanhandlenonlinearcomplexproblemsforitsadaptableabilityandlearningability,whichtraditionalmodelingmethodhardlysettle.ThepaperhassummarizedtheapplicationactualityofartificialneuralnetworkintheHVACarea.CorrelativeknowledgeofBPneuralnetworkisalsopresented.Choosingthe26groupdatasofearlycoldperiodassampleddata,thepaperhasfoundedthecorrespondingBPneuralnetworkmodelaftertheoptimizationroutine.Utilizingthemodeltoforecastoperatingperformanceofthesoilsourceheatpumpunitinearlycoldperiodandlatecoldperiod,theforecastingaccuracyislessthan9.70percents.Itcanconcludthatthemodelcanbeusedetofailurediagnosticsofthesoilsourceheatpumpunitifthesampledatasaretrueandadequate.Zhangxinshu(Heating,GasSupply,VentilatingandAirConditioningEngineering)Directedbyprofessor:liuzehua[keywords]:soil-sourceheatpump,operatingperformance,BPneuralnetworktest,simulationVλVm3/hnVm3/heQkJeqkJ/kgsνm3/kgPcPaPePawkJ/kgtWkWeKkW/m2.ket∆eFm2o,wei,we,ttrGkg/scKkW/m2.kct∆cFm2VIo,wci,wc,tte,wGt/hc,wGt/heQkWcQkWhpcop1∆t2∆1α2α3α3∆∆dQkWdwkg/spckJ/(kg)od,i,d,ttkQkWkwkg/so,ki,k,ttacPkW111.11.1.1,,;,;,,100~350kWh,10~155%[1]1+2380%35%23~41.1.2,,,1kW,3kW50%,,,211990199620%[2]801)2)[3]1.1.3,3-4m23200337m2[4]15%47.3%[5]60%202060~70m2,3300~4100kWh,20201100~1400kWh20057[6]541.21.2.1400m[7]1.2.21-1HDPEU4U1-11.2.3515-201.2.41.2.4.11193019405[8]0.8-1.0m1.2-1.9m1-2[9]1-21-2[10]COP0.2w/m2,10w/m,2UU1-3aUU1-3bU1-3c15ft1-36(a)/U/(b)/U/15ft(c)/U/1-38m10m1946Ambrose33m180m[11]U1801.2.4.21-41-51.2.4.3PEPB7PAPPEX401-4GCHP1-5GCHP1.3:,,81.3.11.3.1.11948In