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A comparative thermoeconomic analysis and optimization of two different combined cycles by utilizing waste heat source of an MSWPP
Energy Conversion and Management ( IF 9.9 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.enconman.2020.113583
Emrah Ozahi , Aysegul Abusoglu , Alperen Tozlu

Abstract In this paper, thermodynamic and thermoeconomic analysis as well as genetic algorithm optimization of two combined cycles, a gas turbine-organic Rankine cycle (GT-ORC) and a gas turbine-Kalina cycle (GT-KAL) are carried out. The novelty of this study is that the cycles are adapted to an actual solid waste power plant to generate additional power from the exhaust gas. Thus, the power generation capacity of the actual power plant can be raised by using the combined cycle. Due to this reason, besides the thermodynamic analysis of the cycles, thermoeconomic analyses and optimizations are also very important in order to improve the actual system capacity. The net power output of GT-ORC and GT-KAL are found to be 1.51 MW and 1.59 MW, respectively. The results obtained are seen to be reasonable when compared to the net power output of the power plant (5.66 MW). Another originality of this study is that the thermoeconomic results are improved by utilizing a multi-objective optimization method namely non-dominated sorting genetic algorithm method (NSGA-II). Thus, the two objectives, total power output and the total cost rate, at the design stage of the cycles are optimized and enhanced. Due to the optimization results, it is found that the net power output of the GT-ORC and GT-KAL are increased by 11.34% and 0.99%, respectively, while the total cost rates are decreased by 18.59% and 1.31%, respectively. GT-ORC with the net power output of 1.70 MW is seen to be more efficient as compared to GT-KAL which produces a net power output of 1.61 MW. However, the total and the capital cost rates of GT-ORC are found to be higher than those of GT-KAL.

中文翻译:

利用垃圾焚烧发电厂余热源的两种不同联合循环的比较热经济分析和优化

摘要 本文对燃气轮机-有机朗肯循环(GT-ORC)和燃气轮机-卡利纳循环(GT-KAL)两种联合循环进行了热力学和热经济学分析以及遗传算法优化。这项研究的新颖之处在于循环适用于实际的固体废物发电厂,以从废气中产生额外的能量。因此,可以通过使用联合循环来提高实际发电厂的发电能力。因此,除了循环的热力学分析外,热经济分析和优化对于提高实际系统容量也非常重要。发现 GT-ORC 和 GT-KAL 的净功率输出分别为 1.51 MW 和 1.59 MW。与发电厂的净功率输出 (5.66 MW) 相比,所获得的结果被认为是合理的。本研究的另一个独到之处在于利用多目标优化方法即非支配排序遗传算法方法(NSGA-II)改进了热经济学结果。因此,优化和增强了循环设计阶段的总功率输出和总成本率这两个目标。根据优化结果发现,GT-ORC和GT-KAL的净功率输出分别提高了11.34%和0.99%,而总成本率分别降低了18.59%和1.31%。与产生 1.61 MW 净功率输出的 GT-KAL 相比,具有 1.70 MW 净功率输出的 GT-ORC 被认为更有效。然而,
更新日期:2021-01-01
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