To clarify the importance degree and assess the effect of key parameters on comprehensive performance during operational adjustment, the artificial neural network (ANN) method is employed to quantitatively analyze the supercritical CO (sCO) cycle performance for the advantage of accurate prediction and regression capabilities. The effects of seven operating parameters on the performance of the simple sCO cycle, recompression sCO cycle, and partial cooling sCO cycle are discussed. The test results obtained through the ANN method depict that the key parameters are turbine inlet temperature () and pressure ratio () according to importance degree ranking. The maximum relative errors observed in the quantitative analysis of thermal efficiency and input heat are 2.48% and 3.47%, respectively. Additionally, the performance comparison of the quantitative analysis shows that the R values of thermal efficiency, output work, and input heat in this research are 0.057025, 0.0001381, and 0.019063 higher than those in the MATLAB software. Furthermore, the recommended operating parameters for and are 500/900/500 °C and 2.266/3.378/2.276 in the three sCO cycles to achieve multi-objective optimization. The corresponding values for thermal efficiency, output work, and input heat are 44.91%/57.7%/44.05%, 104.8761/278.3495/109.5893 kJ/kg, and 190.3585/198.9562/198.8478 kJ/kg, respectively. This research can contribute to expanding future investigations on adjusting experimental parameters to enhance the performance of sCO cycles.

中文翻译：

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具有多个运行参数的超临界CO2循环的定量评估和多目标优化

为了明确运行调整过程中关键参数的重要性程度并评估其对综合性能的影响，采用人工神经网络（ANN）方法对超临界CO（sCO）循环性能进行定量分析，具有准确的预测和回归能力。讨论了七个运行参数对简单 sCO 循环、再压缩 sCO 循环和部分冷却 sCO 循环性能的影响。通过ANN方法得到的测试结果表明，关键参数按重要程度排序为汽轮机进口温度（）和压力比（）。热效率和输入热量定量分析中观察到的最大相对误差分别为2.48%和3.47%。另外，定量分析的性能对比表明，本研究的热效率、输出功和输入热量的R值分别比MATLAB软件中的R值高0.057025、0.0001381和0.019063。此外，在三个sCO循环中，推荐的操作参数为500/900/500°C和2.266/3.378/2.276，以实现多目标优化。热效率、输出功和输入热量的对应值分别为 44.91%/57.7%/44.05%、104.8761/278.3495/109.5893 kJ/kg 和 190.3585/198.9562/198.8478 kJ/kg。这项研究有助于扩大未来关于调整实验参数以提高 sCO 循环性能的研究。