Research On Modeling Simulation And Control Strategy Of Heat Exchanger For Non-supplementary Fired Compressed Air Energy Storage System

In the development of environment-friendly and resource-saving society in two under the initiative,the development of non-Supplementary fired compressed air energy storage(NF-CAES)system technology is very important,non-Supplementary fired compressed air energy storage(NF-CAES)system with respect to the combustion of compressed air energy storage system is in heat exchanging,heat exchanger equipment absorbs compressed heat from compressed air,not only improves the system efficiency and no pollution of fossil fuels,so the research on the heat exchanger model is very necessary.This paper first gives a detailed introduction of the background and significance of the compressed air energy storage technology,the non-Supplementary fired compressed air energy storage(NF-CAES)system and the part of detail,to fill an important part of non-Supplementary fired compressed air energy storage(NF-CAES)system in heat exchanger as the study object.For shell and tube heat exchanger system as the object,carries on the modeling,control algorithm and simulation research of heat transfer process,to improve the control effect of heat exchanger system,is of great significance for improving the efficiency of heat transfer.Established a mathematical model of heat exchanger by using the method of mechanism modeling and system identification,to determine the heat exchanger outlet temperature and cold flow relationship between entrance flow,through the step response simulation,to verify the accuracy of the model.According to the characteristics of large time delay and time varying,all-out parameter adaptive Smith predictive control algorithm(APASPCA)is adopted to control the heat exchanger model.In conventional Smith is estimated based on the model reference adaptive principle based on adaptive law is designed by using the Lyapunov function predictor gain and time constant,and the optimal estimation of the signal correlation analysis technology in the implementation of the average amplitude of the controlled objectlag time difference function,the predictor model parameters can track the changes of the object the parameters,so as to ensure the effect of the Smith predictive control.The simulation results show that the APASPCA algorithm has a good control effect on the controlled object with large time delay and time-varying parameters.The APASPCA algorithm has good control precision,stability and robustness,and it is a good performance control method.