公共建筑采暖空調(diào)系統(tǒng)能耗預(yù)測(cè)方法研究.pdf

1、重慶大學(xué)碩士學(xué)位論文公共建筑采暖空調(diào)系統(tǒng)能耗預(yù)測(cè)方法研究姓名：孫冬梅申請(qǐng)學(xué)位級(jí)別：碩士專(zhuān)業(yè)：供熱、供燃?xì)狻⑼L(fēng)及空調(diào)工程指導(dǎo)教師：付祥釗20091126英文摘要ABSTRACTThepublicbuildingsconsumeagreatamountofenergy，especiallyinlargestores，hotels，officebuildings，about50to60percentageoftheirannualenerg

2、yconsumptionisforheatingMrconditioningsystem，withalargeenergysavingpotentialSummerairconditioningcoolingloadpeakandurbanpeakappearedalmostatthesametime，exacerbatingimbalancebetweenthepeakandvalleypower，makethepeakpowersu

3、pplyshortageofcontradictionsToaccuratelypredicttheenergyconsumptionhasimportanttheoreticalsignificanceandrealisticsignificanceonoptimizingtheoperationmodeandrealizingthecomprehensiveenergyefficiencyofheatingandairconditi

4、oningsystemItisalsobenefittopeakloadshiftingofpowerloadandimprovesthesecurity，economy，reliabilityofpowergridoperation，improvingthequalityofpowersupplyThispaperistostudyonheatingandairconditioningsystemenergyconsumptionpr

5、edictionmethodsinpublicbuildings，themainresearchcontentsare弱follows：①tlleannualenergyconsumptionpredictionWasmadeseparatelyfromthecoolingandheatingenergyconsumptionandtheseasonalenergyefficientratio(SEER)，thelatterisdivi

6、dedintopartloadrateandSOEER(thesystemoperatingenergyefficientratio)②Sincetheneuralnetworkcombinedwithotherpredictionmethodshasbetteradaptedtotheheatingairconditioningloadandconsumptioncharactersinallkindsofforecastingmet

7、hods，the蓼eyOIFElmanneuralnetworkisusedtopredicttheannualcoolingandheatingconsumptionandpartloadrate③Basedontheresearchoftheenergyconsumptionstatusofdifferentfunctionpublicbuildingindifferentregionalclimate，usingtheorthog

8、onalexperimentdesignandtheDeSTsoftwaretosimulatethedifferentexperimentalconditionsoftheheatingandairconditioningload，usingrangeanalysisandVRljanceanalysistoobtainmainfactorstheclimate，themodeofoperation，indoorenvironment

9、parametershavesignificanteffectsoncoolingandheatingenergyconsumptionandpartloadrate，andthe讎Shairindexisalsoofsignificanteffecttoheatconsumptionandpartialheatingloadrate，thismainparametersofthemodelmustbeconsidered④Inthis