基于氣候條件的居住建筑室內(nèi)長(zhǎng)期熱環(huán)境評(píng)價(jià)方法研究.pdf

1、湖南大學(xué)碩士學(xué)位論文基于氣候條件的居住建筑室內(nèi)長(zhǎng)期熱環(huán)境評(píng)價(jià)方法研究姓名：蔡靚申請(qǐng)學(xué)位級(jí)別：碩士專(zhuān)業(yè)：供熱、供燃?xì)?、通風(fēng)及空調(diào)工程指導(dǎo)教師：周晉；張國(guó)強(qiáng)20120527碩士學(xué)位論文AbstractTheenergyconsumptionindexwhichaimedatbuildingwithHAVCsystemina24hourcontinuousoperationwasusuallyusedtoassessthebuildingpe

2、rformanceinordertomeettheenergyconservationtargetinChinaNevertheless，themajorityofheatingandairconditioningfacilitieswereoperatedintermittentlyinresidentialbuildingsSomenaturalventilationresidentialbuildingsoperatedevenw

3、ithoutHVACsystemConsequentlyitisinappropriatetoassesstheperformanceofon—offoperatingornon—air—conditionedresidentialbuildingbyenergyconsumptionindexesFindinganewindexfromthepointofbuildingthermalenvironmentisveryimportan

4、tThepreviousstudyshowsthatThermalDiscomfortRate(TDCR)hasbeenproposedtoassessthebuildingperformanceandtheimpactofenvelopeonthelongtermthermalenvironmentWhiletheeffectofoutdoorclimatewasnottookintoaccountinthisindex，SOthei

5、ndoorthermalenvironmentofdifferentbuildingindifferentareascan—notbepredictedAnewindexnamedRelativityThermalDiscomfortIndex(RI)basedonTDCRhasbeenproposedinthispaperTheformulaofoutdooroperativetemperatureconbinedwithoutdoo

6、rmeteorologicalparametershasbeendeducedthroughtheoritcalanalysisConsideringwiththecharacteristicoftheresidentialbuildings，therangeofdiscomforttemperaturehasbeenredistrictedbythenewimprovedadaptivethermalcomfortmodelThewe

7、ightingfunctionofthermaldiscomforthasbeenproposedAndonthatbasis，RIhasbeenproposedThebuildingperformanceandindoorthermalenvironmentcanbeassessedbyRIindifferentareaAtwostoreyBASECASEmodelhasbeenestablishedbyDesignBuilderso

8、ftwaretosimulateRIinwinterandsummerInaddition，theeffectsofthermalinsulationonexteriorwall，ratioofwindowtowall，windowglassmaterial，shadingandroofformonRIhavebeenanalyzedwithusingtheBASECASEmodelAfterwards，thethermalenviro

9、nmentpredictedmodelsof15citieswereestablishedbyBPneuralnetwork，basedonusingtheorthogonalexperimentaldesignmethodtogettrainingdataTheresultsrevealedthatthepredictedmodelcouldevaluatethethermalenvironmentofresidentialbuild