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Thermodynamics Analysis and Optimization of Abadan Combined Cycle Power Plant

机译:阿巴丹联合循环发电厂的热力学分析与优化

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Background/Objectives: The welfare and comfort of people in the world is directly related to consuming energy and its economic supply, which depends on quantity of energy resources. This has been turned into an important challenge with respect to rapid growth at level of request for energy in the world. Methods/Statistical analysis: In this multiobjective optimization that has been carried out by Non-Dominated Sorting Genetic Algorithm (NSGA-II), two objective functions of exergy efficiency and produced power costs composing of the cost of injected fuel into combustion chamber and duct burner as well as exergy loss cost and investment cost have been studied. Findings: The efficiency of Abadan combined cycle power plant depends on design parameters including gas turbine input temperature, compressor pressure ratio, and pinch point temperature and any change occurring in these parameters may lead to noticeable change in objective functions, so that the efficiency of this power plant is increased after optimization up to 7.12 % and heat rate is correspondingly reduced from 7503 (kJ/kWh) to 7149 (kJ/kWh). Similarly, exergy destruction in total system shows 8.37 reduction. Applications/Improvements: In this research Abadan combined cycle power plant has been perfectly modeled in terms of thermodynamics and the given results were compared with output data from Thermo-Flow Software in order to ensure the validity of the modeling code.
机译:背景/目标:世界人民的福利和舒适与能源的消耗及其经济供应直接相关,而能源的供应取决于能源的数量。对于世界范围内能源需求的快速增长,这已成为一个重要的挑战。方法/统计分析:在这种非目标排序遗传算法(NSGA-II)进行的多目标优化中,火用效率和产生的电力成本这两个目标函数构成了向燃烧室和管道燃烧器中喷射燃料的成本还研究了火用损失成本和投资成本。结论:阿巴丹联合循环发电厂的效率取决于设计参数,包括燃气轮机输入温度,压缩机压力比和收缩点温度,这些参数中发生的任何变化都可能导致目标函数发生明显变化,因此该效率优化后将发电厂增加到7.12%,发热量相应地从7503(kJ / kWh)降低到7149(kJ / kWh)。同样,整个系统的火用破坏也减少了8.37。应用/改进:在本研究中,Abadan联合循环发电厂已在热力学方面进行了完美建模,并将给定的结果与Thermo-Flow软件的输出数据进行了比较,以确保建模代码的有效性。

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