This study proposes a novel methodology for optimizing the Kalina Cycle System-34, providing new insights into the existing literature on the cycle. The research highlights the cycle's key variables and identifies the most critical parameters that require improvement while proposing a practical and effective optimization method. The effects of parameters on thermal and exergy efficiency were quantified using Taguchi and ANOVA methods. The study focuses on critical parameters such as evaporator outlet temperature, turbine inlet pressure, ammonia concentration, turbine efficiency, and pump efficiency. The optimal values of these parameters were determined within specified ranges. Furthermore, the study employed the L25 orthogonal array to create case scenarios that reduced the computational cost of the Kalina cycle. The best-case scenario was not included in the 25 cases in the orthogonal array, which significantly reduced computational costs. The results showed that the system's thermal efficiency increased to 16.2 %, and exergy efficiency increased to 27.8 %, with the case conditions for the best case being an evaporator outlet temperature of 120 °C, ammonia concentration of 0.9, turbine inlet pressure of 40 bar, turbine efficiency of 0.9, and pump efficiency of 0.8.

中文翻译：

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Kalina Cycle System-34 的能量和火用优化以及循环参数的详细分析


这项研究提出了一种优化 Kalina Cycle System-34 的新颖方法，为现有的循环文献提供了新的见解。该研究突出了循环的关键变量，并确定了需要改进的最关键参数，同时提出了实用且有效的优化方法。使用田口和方差分析方法量化了参数对热效率和火用效率的影响。该研究重点关注蒸发器出口温度、涡轮入口压力、氨浓度、涡轮效率和泵效率等关键参数。这些参数的最佳值在指定范围内确定。此外，该研究采用 L25 正交阵列创建案例场景，降低了 Kalina 循环的计算成本。最好的情况没有包含在正交数组的25种情况中，这显着降低了计算成本。结果表明，系统热效率提高至16.2%，火用效率提高至27.8%，最佳工况工况为蒸发器出口温度120℃、氨浓度0.9、透平入口压力40bar ，涡轮效率为0.9，泵效率为0.8。