Thermodynamic optimization and performance study of supercritical CO2 thermodynamic power cycles with dry cooling using response surface method

This paper deals with thermodynamic optimization of supercritical CO2 recompression and partial cooling cycles operating at cycle maximum temperature 680°C pressure 250 bar. The primary goal to investigate the effects variation in heat sink (ambient air temperature), mass split fraction (X), minimum (Pmin) on thermal efficiency power cycles. Response surface method (RSM) is adopted create a second-order polynomial equation order develop relationship between selected decision variables find global optimum efficiency. In addition, classification most influencing parameter carried out using ANOVA approach. case cycle, results demonstrate that has greatest impact efficiency, owing low p-value high F-value, followed by pressure. significant temperature. combination for 20°C, 0.3182, 89 bar obtain highest 0.4963. 32.8 °C, 0.34, 76 bar, which an 0.4708.