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空气标准等温加热修正Brayton循环:(2)多目标优化

Air Standard Isothermal Heating Modified Brayton Cycle:(2) Multi-Objective Optimization
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摘要 基于第1部分对循环功率和效率特性的研究,进一步以效率、生态学函数、功率和功率密度为优化目标,以压缩比为优化变量,利用NSGA-Ⅱ算法对内可逆空气标准等温加热修正Brayton循环进行不同目标组合的单、双、三和四目标优化,并利用偏差指数对3种决策方式的优化结果进行分析对比,从而寻找最优解集。结果表明三目标优化中偏差指数最小,为0.129 2。故多目标优化能更有效地找到最优解集。研究成果可为Brayton热机循环的优化设计提供一定参考。 Based on the study of the cycle power and efficiency characteristics in Part 1,the optimizations for the endoreversible air standard isothermal heating modified Brayton cycle with different objective combinations of single-,two-,three-and four-objectives were performed using NSGA-Ⅱ algorithm.In this process,the efficiency,ecological function,power and power density were taken as optimization objectives,and the compression ratio was also used as optimization variable.The optimization results of the three decision-making methods were analyzed and compared using deviation index to find out the optimal solution set.The results showed that smallest deviation index was 0.1292 in three-objective optimization.Therefore,the multi-objective optimization can determine the optimal solution set more effectively.The research result can provide certain reference for design optimization of Brayton cycle.
作者 危思 戈延林 陈林根 冯辉君 WEI Si;GE Yanlin;CHEN Lingen;FENG Huijun(Institute of Thermal Science and Power Engineering,Wuhan Institute of Technology,Wuhan 430205,China;Hubei Provincial Engineering Technology Research Center of Green Chemical Equipment,Wuhan 430205,China;School of Mechanical&Electrical Engineering,Wuhan Institute of Technology,Wuhan 430205,China)
出处 《热力透平》 2024年第1期6-10,25,共6页 Thermal Turbine
基金 国家自然科学基金(52171317,51779262) 武汉工程大学研究生教育创新基金项目(CX2021043)。
关键词 内可逆循环 空气标准等温加热修正Brayton循环 多目标优化 NSGA-Ⅱ算法 决策方法 endoreversible cycle air standard isothermal heating modified Brayton cycle multi-objective optimization NSGA-II algorithm decision-making method
作者简介 危思(1999-),女,武汉工程大学在读硕士,现主要从事有限时间热力学的研究;通信作者:陈林根(1964-),男,教授,博士生导师,lingenchen@hotmail.com。
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