Research On Load Prediction And Energy Saving Optimization Of Ice Storage Air Conditioning System In Airport Energy Station

The rapid development of economy has promoted the great development of modern aviation industry.Terminal as the largest single building in the airport,which energy consumption accounts for about 65% of the total refrigeration system in summer.However,as the main form of cooling system in the modern terminal building,the ice-storage air-conditioning system has the advantage of “shifting peaks and filling valleys”,which can be fully reduced the chiller assembly capacity and the operating cost of the system.Nonetheless,improper formulation of the operating strategy of the ice storage system will lead to some problems such as the inefficiency of equipment,the increase of system operation cost and serious energy waste.Therefore,it is important to formulate energy-saving optimization strategies for ice-storage air-conditioning systems.However,accurate prediction of cooling load is the basis for formulating an optimization strategy for ice storage system operation.This paper mainly focuses on the load forecasting and energy-saving optimization strategy of airport ice storage system.The main contents are as follows:(1)Research on cold load forecasting of airport terminal;Established an improved VMD-ARIMA-DBN airport terminal cooling load prediction model.Firstly,The main types of input data of prediction model are determined by Pearson correlation analysis method,then the problem of insufficient correlation between variables and results is solved.Secondly,the variable mode decomposition(VMD)technology is used to decompose the input data,and the decomposed parts with large fluctuation and poor regularity are predicted by improved Deep Belief Networks(DBN).The decomposed parts with small fluctuation and easy regularity are predicted by Autoregressive Integrated Moving Average Model(ARIMA).Finally add up to get the prediction results.(2)Research on energy-saving operation strategy of ice storage system in energy station;Firstly,based on the composition and working principle of ice storage air conditioning,established the energy consumption model,which included the the multiple refrigeration units model,cooling towers model,water pumps model,the ice storage model and melting model of ice storage tank.Then,with the goal of the lowest equipment operating cost and lowest energy loss in the entire system,the physical conditions of actual project operation as constraints.Established a parallel GA-PSO optimization algorithm to solve the problem,obtain the part load rate of the hourly refrigeration host and the hourly operation strategy of the ice storage air conditioning system is obtained.Verification by simulation experiment,it can be seen that the load predicting model established in this paper has good predicting accuracy in airport terminal buildings,with the maximum root mean square relative error of 2.12%,and the average absolute percentage error of 3.25%,thus laying a good foundation for the formulation of ice-storage system operation strategy.According to the calculation of simulation experiment,it shows that compared with the traditional cold machine priority strategy,the operation optimization strategy of ice-storage system in energy station proposed in this paper saves about 37.29% during the summer operating conditions,reduce energy consumption loss by 10.97%.and saves about 14.02% compared with the ice trough priority strategy of the actual operation of the energy station,reduce energy consumption loss by 8.11%.The result can be used as a reference for the formulation of the operation strategy of the airport energy station,and it also provides an important theoretical basis for the construction of the green and smart airport.