Study on characteristics and prediction model of low-temperature adiabatic compressed air energy storage system

Abstract

To the users, low-temperature adiabatic compressed air energy storage is a promising technology for energy storage. In this work, the parameter selection method of a 200 kW scale CAES system are studied. The increase of inlet air temperature of the compressed air storage tank accelerates the rise rate of pressure and temperature in the tank, and the increase of maximum air storage pressure and air release rate increase the pressure and decrease the temperature at the outlet at the same timing, respectively; with the increase of pressure difference between throttle valve inlet and valve outlet, the valve outlet temperature decreases, and the valve outlet entropy increases. The higher the inlet pressure of throttle valve, the smaller the change degree of entropy increase; the expansion ratio combination in the expansion section affects the output amount of cold energy and heat energy, and the larger the last stage expansion ratio is, the higher the total output power of the system is. The model with LOGSIG-PURELIN transfer function combination and TRAINLM training function has the best performance.

Keywords

• Low-temperature
• Compressed air energy storage
• Inter-heat transfer
• Expansion ratio combination
• Prediction model