The integration of renewable energy sources poses challenges to the stability of the power grid. Compressed air energy storage (CAES) is one of the effective technologies for smoothing grid fluctuations, as it can store energy during low-power periods and release it when needed. This study proposes a large-scale high-temperature adiabatic CAES (HTA-CAES) system integrated with a cascaded molten salt heat recovery thermal energy storage (TES) system, and analyzes the thermodynamic and techno-economic performance of the proposed system. The feasibility of the system and its superiority over traditional systems were evaluated through thermo-economic analysis, and the effects of design conditions such as compression ratio distribution and expansion ratio distribution on system performance were investigated. A multi-objective optimization was performed using the non-dominated sorting genetic algorithm III (NSGA-III) to obtain the optimal solution balancing system round-trip efficiency (RTE) and levelized cost of energy (LCOE). Results show that the HTA-CAES system exhibits better performance than traditional systems, with an RTE of 71. 56 % under design conditions. The multi-objective optimization considering both RTE and LCOE highlights significant improvements in system performance: RTE, LCOE, energy storage density, and dynamic payback period are enhanced to 72. 21 %, 6. 79 × 10−2 /kWh, 4. 97 kWh/m3, and 7. 55 years, respectively.
Yang et al. (2025) studied this question.