Multi objective optimization of performance of three-heat-source irreversible refrigerators based algorithm NSGAII

被引：88

作者：

Ahmadi, Mohammad Hossein ^{[1
]}

Ahmadi, Mohammad Ali ^{[2
]}

机构：

[1] Univ Tehran, Renewable Energies & Environm Dept, Fac New Sci & Technol, Tehran, Iran

[2] PUT, Dept Petr Engn, Ahwaz Fac Petr Engn, Ahvaz, Iran

来源：

RENEWABLE & SUSTAINABLE ENERGY REVIEWS | 2016年 / 60卷

关键词：

Refrigeration system; Specific entropy generation rate; Optimization; Ecological coefficient of performance; Decision making; NSGAII; STIRLING HEAT ENGINE; OF-THE-ART; MULTIOBJECTIVE OPTIMIZATION; THERMODYNAMIC ANALYSIS; THERMOECONOMIC OPTIMIZATION; OPTIMUM PERFORMANCE; THERMAL EFFICIENCY; ECOLOGICAL COEFFICIENT; CARNOT REFRIGERATOR; MAXIMIZED POWER;

D O I：

10.1016/j.rser.2015.12.181

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This study demonstrates an optimization investigation of an irreversible refrigeration absorption system based on the new thermo-ecological criterion. The specific entropy generation rate and the ecological coefficient of performance (ECOP) were presumed as objective function in multi-objective optimization process. Multi-objective optimization algorithm (MOEA) improved by NSGAII algorithm was employed to optimize simultaneously two aforementioned objective functions. In order to get the best performance ECOP has been maximized and specific entropy generation rate was minimized. Decision making has been done via two well-organized methods including TOPSIS and LINAMP. Error analysis and sensitivity analysis was executed on the answers gained via two decision makers in the above mentioned system. Finally, results of this paper were compared to the previous researches and this comparison reveals that the results achieved here are reasonable in comparison with previous ones. (C) 2015 Elsevier Ltd. All rights reserved.

引用

页码：784 / 794

页数：11

共 71 条

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