This paper took the air source heat pump central air-conditioning system of an office building in Chengdu,Sichuan Province,as the research object and formulated the optimized operation strategy of coupling the variable chilled water supply temperature with the variable chilled water flow under the cooling condition in summer.Firstly,according to the operating data,the paper determined the main influencing factors of building load.Secondly,based on the influence factors,a decision tree algorithm was established to divide the system's operating conditions into seven categories.Finally,the distribution of COPsys energy efficiency of the air conditioning system under each classification condition was sorted out.Meanwhile,the chilled water supply temperature corresponding to the highest COPsys and the set frequency of the chilled water pump were taken as the best setting parameters under this condition.The results showed that,based on the operating conditions of the previous year,using this operation strategy can save about 33%of the electricity in summer under the premise of ensuring the indoor environment comfort requirements and effectively improving the operating efficiency of the central air conditioning system.
Air source heat pumpCentral air-conditioning systemOptimized operationDecision tree algorithm
NETL
NSTL
万方数据
