| With the rapid development of China’s modernization construction,the building energy consumption problem has become increasingly prominent.Building energy consumption in the air conditioning system occupies a large proportion of energy consumption,and with the industrial electricity load overlap,resulting in power peak load,exacerbated the peak and valley load difference,resulting in heavy power during the day,while the night power can not be effectively used.In the large public buildings by the use of ice storage air conditioning system can be a very good power load "shift peak valley" to improve the grid load rate.However,if the ice storage air conditioning system using conventional air conditioning system operation strategy,and can not be a good highlight of their own advantages,will cause the waste of energy.In the day,the cooling load will be not enough and also too much ice will be unable to be use in the next day.And in terms of economy,will increase the operating costs too.Therefore,to develop a reasonable operating strategy for ice storage air conditioning system to optimize its economic and energy-saving operation is of great significance.This paper takes the ice storage air conditioning system of a large public building in Xi’an as the research project.Based on the external meteorological factors and historical cold load data,set up an autoregressive model(ARX model)based on external input and it is used to forecast the time-dependent cooling load of the shopping mall.Secondly,based on the known time-dependent cooling load,to save the operating cost and the energy as the goal,the priority strategy is used to optimize the operation strategy of ice storage air conditioning system.According to the specific load of 100% load day,75% load day,50% load day and 25% load day,the paper analyzes the optimized operation strategy of the ice storage air conditioning system.The air conditioning system has the economic advantage.Finally,based on the above operation strategy,analyzes the ice storage air conditioning system’s energy-saving characteristic,then analyzes the influence of the ice storage air conditioning system on the load rate and the energy saving and emission reduction after the reduction of thermal power.The results show that the ARX model is used to predict the time-dependent cooling load of the building,which is simple and feasible and has good accuracy.The average relative error is less than 5%,can effectively predict the hourly cooling load.Based on the time-dependent cooling load forecasting,in order to save the operating cost and the energy,using the priority method to optimize the operation strategy of the building,the air conditioning system can achieve the peak load of 1.96×106k W·h and the filling capacity of 3.0×106k W·h and save 7.39% of operating cost(3.5×105Yuan).The building using ice storage air conditioning system can increase the daily load rate of the Northwest power grid 0.002237%,reducing the power consumption of coal consumption 2645.7tec,to reduce CO2 emissions 7112.96 t. |
