基于NSGA-Ⅱ算法的变温热源内可逆简单MCBC的性能优化
摘要：基于前人所建立的变温热源内可逆简单等温加热修正的闭式布雷顿循环（modified closed Brayton cycle，MCBC）模型，分析了压气机压比等参数对循环性能的影响。分别以无因次功率和无因次生态学函数为优化目标，以压比和各个换热器的热导率分配为优化变量，对变温热源内可逆简单MCBC进行单目标优化。最后基于NSGA-Ⅱ算法，以无因次功率、热效率和无因次生态学函数为优化目标，以压比和各个换热器的热导率分配为优化变量，对变温热源内可逆简单MCBC进行多目标优化，并分析了相关参数的灵敏度。结果表明：常规燃烧室（regular combustion chamber，RCC）和收敛型燃烧室（converging combustion chamber，CCC）外侧流体的入口温比对单目标优化结果的影响存在着明显的相互关系；与单目标优化得到的结果相比，多目标优化得到的最优解对应的偏差指数更小，其中通过香农熵决策得到的偏差指数最小；优化变量变化±10%对最优无因次功率、最优热效率、最优无因次生态学函数及其对应的等温压降比的影响很小，其变化范围均不超过5%。
Abstract:Based on the previously established model of an endoreversible simple modified closed Brayton cycle (MCBC) coupled to variable-temperature reservoirs, the effect of parameters such as compressor pressure ratio on cycle performance was analyzed. The dimensionless power output and the dimensionless ecological function were optimized respectively by selecting cycle pressure ratio and the heat conductance distributions of heat exchangers as the design variables to optimize the performances of the endoreversible simple MCBC coupled to variable-temperature reservoirs. Finally, based on the NSGA-Ⅱ algorithm, the pressure ratio and the heat conductance distributions were optimized by taking the dimensionless power output, thermal efficiency and dimensionless ecological function as the optimization objectives, and the sensitivity of the related parameters was analyzed. The results show that there is a significant correlation between the inlet temperature ratios of the regular combustion chamber (RCC) and the converging combustion chamber (CCC) on the results of the single-objective optimization. It is found that compared with the results obtained by single-objective optimization, the optimal solutions corresponding to multi-objective optimization have smaller deviation indexes, and the deviation index is the smallest through Shannon entropy making. The sensitivity analyses show that the effects of the optimization variables changing within the range from -10% to 10% on the optimal dimensionless power output, the optimal thermal efficiency, the optimal dimensionless ecological function and its corresponding isothermal pressure drop ratio are very small, and the ranges do not exceed 5%.
标题：基于NSGA-Ⅱ算法的变温热源内可逆简单MCBC的性能优化
title:Performance Optimization of Endoreversible Simple MCBC Coupled to Variable-temperature Reservoirs Based on NSGA-Ⅱ Algorithm
作者：唐晨琪,陈林根,王文华,冯辉君,夏少军
authors:Chenqi TANG,Lingen CHEN,Wenhua WANG,Huijun FENG,Shaojun XIA
关键词：有限时间热力学,修正的布雷顿循环(MCBC),热效率,生态学函数,等温压降比,多目标优化,
keywords:finite time thermodynamics,modified closed Brayton cycle (MCBC),thermal efficiency,ecological function,isothermal pressure drop ratio,multi-objective optimization,
发表日期：2020-06-30
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