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Thermo-economic assessment of three-stage combined cycle power system using ammonia-water mixture

机译：氨水混合物三级联合循环发电系统的热经济评估

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摘要

Thermo-economic modeling and multi-objective optimization studies are performed for a three-stage combined cycle system using ammonia water mixture as working fluid. This combined cycle plant is composed of three main subsystems, Brayton cycle, Rankine and Kalina cycles. Energy and exergy analyses and multi-objective optimization are included. In order to optimize the system, a multi-objective optimization method based on a fast and elitist non-dominated sorting genetic algorithm is applied to determine the best design parameters of the system. The two objective functions considered for the optimization purpose are the total cost rate of the system including equipment costs, and the second objective function is the system exergy efficiency. The total cost rate of the system is minimized while the cycle exergy efficiency is maximized using an evolutionary algorithm. In order to convey a deeper understanding and identify the necessary trade-offs within the optimized objectives in a multifaceted fashion, multi-objective optimizations are conducted in the study. Moreover, a closed form equation is derived to provide the relationship between the exergy efficiency and total cost rate. Finally, sensitivity analyses are performed to better understand the effects of various key design parameters on the total exergy destruction rate, exergy efficiency and total cost rate of the system.
机译：使用氨水混合物作为工作流体，对三级联合循环系统进行了热经济建模和多目标优化研究。这个联合循环工厂由三个主要子系统组成：布雷顿循环，兰金循环和卡利纳循环。包括能量和火用分析以及多目标优化。为了优化系统，基于快速精英精英非分类遗传算法的多目标优化方法被应用于确定系统的最佳设计参数。为优化目的考虑的两个目标函数是系统的总成本率，包括设备成本，第二个目标函数是系统的效率。使用进化算法可最大程度地降低系统的总成本率，同时最大程度地提高循环本能效率。为了传达更深刻的理解并以多方面的方式确定优化目标内的必要权衡，在研究中进行了多目标优化。此外，导出了一个封闭形式的方程，以提供火用效率和总成本率之间的关系。最后，进行敏感性分析以更好地了解各种关键设计参数对系统总火用破坏率，火用效率和总成本率的影响。

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