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用于改进不可逆闭式修正简单布雷顿循环的四目标优化

Four-Objective Optimizations for an Improved Irreversible Closed Modified Simple Brayton Cycle.

作者信息

Tang Chenqi, Chen Lingen, Feng Huijun, Ge Yanlin

机构信息

Institute of Thermal Science and Power Engineering, Wuhan Institute of Technology, Wuhan 430205, China.

School of Mechanical & Electrical Engineering, Wuhan Institute of Technology, Wuhan 430205, China.

出版信息

Entropy (Basel). 2021 Feb 26;23(3):282. doi: 10.3390/e23030282.

Abstract

An improved irreversible closed modified simple Brayton cycle model with one isothermal heating process is established in this paper by using finite time thermodynamics. The heat reservoirs are variable-temperature ones. The irreversible losses in the compressor, turbine, and heat exchangers are considered. Firstly, the cycle performance is optimized by taking four performance indicators, including the dimensionless power output, thermal efficiency, dimensionless power density, and dimensionless ecological function, as the optimization objectives. The impacts of the irreversible losses on the optimization results are analyzed. The results indicate that four objective functions increase as the compressor and turbine efficiencies increase. The influences of the latter efficiency on the cycle performances are more significant than those of the former efficiency. Then, the NSGA-II algorithm is applied for multi-objective optimization, and three different decision methods are used to select the optimal solution from the Pareto frontier. The results show that the dimensionless power density and dimensionless ecological function compromise dimensionless power output and thermal efficiency. The corresponding deviation index of the Shannon Entropy method is equal to the corresponding deviation index of the maximum ecological function.

摘要

本文运用有限时间热力学建立了一种改进的不可逆闭式修正简单布雷顿循环模型,该模型包含一个等温加热过程。热库为变温热库。考虑了压缩机、涡轮机和热交换器中的不可逆损失。首先,以无量纲功率输出、热效率、无量纲功率密度和无量纲生态函数这四个性能指标作为优化目标,对循环性能进行优化。分析了不可逆损失对优化结果的影响。结果表明,随着压缩机和涡轮机效率的提高,四个目标函数均增大。涡轮机效率对循环性能的影响比压缩机效率更为显著。然后,应用NSGA-II算法进行多目标优化,并采用三种不同的决策方法从帕累托前沿中选择最优解。结果表明,无量纲功率密度和无量纲生态函数在一定程度上牺牲了无量纲功率输出和热效率。香农熵方法的相应偏差指数与最大生态函数的相应偏差指数相等。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b926/7996966/a362731df10f/entropy-23-00282-g001.jpg

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