Optimization Research of S-CO₂ Compound Brayton Cycle Based on Genetic Algorithm

Supercritical carbon dioxide (S-CO₂) has the advantages of large density and small viscosity. Being used in the power circulation system, it can make the system compact and reduce the cost, so it has great potential in engineering application. In this paper, the residual heat recycling system with S-CO₂ as the working material is studied. The computational model of S-CO₂ Brayton cycle is built to analyse its characteristics. The cycle efficiency, output network and other parameters of the bottom cycle under the standard working conditions are obtained. Meanwhile, the parameters of the inlet and outlet of the components are optimized by genetic algorithm, and the parameters of the system components are obtained when the best cycle network is achieved. This study provides some reference for the field of residual heat utilization, including the gas turbine exhaust.