Research on operation optimization of ice-storage air conditioning system based on particle swarm optimization
Ice-storage air-conditioning system can balance the grid pressure to achieve "peak load shifting" effect.In order to promote the use of ice storage air-conditioning,enhancing economic efficiency and energy-saving effect of the system is important.Through the establishment of ice storage air-conditioning system operation model daily running costs and daily energy consumption of ice-storage air-conditioning system can be obtained.By using TRNSYS simulation software on the target architecture,building cooling load can also be obtained.Based on the target building cooling load,setting the system chiller hourly load rate,establishing energy-saving and economical operation of the system of multi-objective model,and using the particle swarm algorithm to solve the model system,optimal operation parameters as thus acquired.An example:Compared with operation strategy at this stage,using the optimized operating parameters guide system operation can save 10.2％ of the operating costs and reduce 15.2％ of the energy losses.
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