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基于灰色关联分析法的空调冷热源优化选择 Introduction Airconditioningsystemsplayanessentialroleinmodernbuildings,andtheiroptimaldesignandselectionofthecoolingandheatingsourcesarecriticalforefficientoperation.Selectingthepropercoolingandheatingsourcesensuresanexcellentenergyperformancefortheairconditioningsystem,improvesindoorcomfort,andreducesoperatingcosts.Therefore,theselectionofthebestcoolingandheatingsourcesforairconditioningsystemsisacomplexandmulti-criteriadecision-makingprocessthatrequiresconsideringvariousfactors,suchasenergyefficiency,lifecyclecost,environmentalimpact,andusersatisfaction.Thispaperaimstoexploretheapplicationofthegreycorrelationanalysismethodinoptimizingtheselectionofcoolingandheatingsourcesforairconditioningsystems. OptimizationofAirConditioningCoolingandHeatingSources Themainobjectiveofoptimizingtheselectionofcoolingandheatingsourcesistofindthebest-performingsourcesthatmeettheperformancecriteria,energyefficiency,andenvironmentalimpact.Inthisregards,theconventionaloptimizationmethods,suchasmulti-objectiveoptimization,havebeenappliedtosolvetheproblemofairconditioningcoolingandheatingsourceselection.However,thesemethodshavesomelimitations,includinglargeamountsofcomputationalefforts,highcosts,andlong-termduration.Therefore,researchershaveproposedanalternativemethodbasedonthegreycorrelationanalysisapproach. Thegreycorrelationanalysismethodisatechniquethatcancorrelatefuzzyorincompletedatatohelpmakedecisions.Thismethodisbasedonanalyzingtherelationshipsbetweeninputvariablesandoutputvariableswithincompleteinformationtodeterminetheircorrelationdegree.Inaddition,itusesthewhiteningsmoothingtechniquetoreducetherandomnessanderrorsinthedataandmakebetterdecisions. Theapplicationofgreycorrelationanalysisintheselectionofcoolingandheatingsourcesforairconditioningsystemsfollowsthefollowingsteps: 1.IdentificationofPerformanceCriteria Thefirststepinselectingthecoolingandheatingsourcesinvolvesidentifyingtheperformancecriteriathatareessentialfortheairconditioningsystems.Theperformance