Research on Collaborative Optimization of Pressure and Temperature in Advanced Adiabatic Compressed Air Energy Storage System

This study addresses the dynamic matching of pressure and temperature parameters in Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) systems. By establishing a dynamic mathematical model of the AA-CAES system, a collaborative optimization framework integrating compressor outlet pressure, underground cavern pressure, and turbine inlet pressure is developed through analysis of dynamic pressure characteristics and temperature parameters. pressure, underground cavern pressure, and turbine inlet pressure is developed through analysis of dynamic pressure characteristics during compression/expansion processes. The pressure gradient distribution patterns under different system configurations are systematically investigated, thereby developing a graded equipment selection strategy and variable-condition control approaches for compressors, turbines, and auxiliary components. Furthermore, a temperature-matching optimization framework is constructed to optimize system energy efficiency by dynamically coordinating the interactions among the system components. These methodological advancements establish theoretical foundations for efficient operation and multi-objective optimization of AA- CAES systems.