Exploring optimum cooling capacity range of refrigerator in cool storage system using big data technology

Taking an air conditioning system in Shanghai Hongqiao International Airport as an example, explores the optimum range of cooling capacity of the refrigerator in the cool storage system. Based on the operating data of the air conditioning system, evaluates the idle rate of the storage tank and analyses the correlation between the idle rate of the storage tank and the meteorological parameters in the last ten years using the big data technology. The results show that the idle rate of the storage tank has the highest correlation with mean daily air temperature, and when the guarantee rate of cooling storage capacity to a certain enough high extent, the idle rate of storage tank and the cooling cost no longer significantly decrease, and the optimum range of cooling capacity of new refrigerator is 10 780 to 11 400 kW.