To address the optimization challenges of high-temperature heat pump-supercritical carbon dioxide (S-CO2) energy storage systems

this paper proposes a genetic algorithm-based optimization approach. An integrated thermodynamic model is developed

coupling heat pump heating

S-CO2 power generation

molten salt heat storage

and water cooling systems. Additionally

this paper constructs an ecoFnomic model to evaluate the cost of various components and the operational benefits of the system. Using genetic algorithms method

the study optimizes system efficiency and economic performance. Results indicate that for the S-CO2 cycle

the optimal configuration of the main compressor inlet parameters involves a lower inlet temperature and a higher inlet pressure

while the expander inlet parameters are recommended to be 600℃ and 25 MPa. Single-objective optimization achieves a maximum system efficiency of 57.3% and a minimum (levelized cost of energy (LCOE) of 1.313CNY/ (kW•h). The Pareto optimal solutions from the dual-objective optimization reveal the optimal system configurations and operational strategies under different trade-off conditions.