Multi-objective thermodynamic optimization of combined Brayton and inverse Brayton cycles using genetic algorithms

被引：35

作者：

Besarati, S. M. ^{[1
]}

Atashkari, K. ^{[1
]}

Jamali, A. ^{[1
]}

Hajiloo, A. ^{[1
]}

Nariman-Zadeh, N. ^{[1
,2
]}

机构：

[1] Univ Guilan, Dept Mech Engn, Rasht, Iran

[2] Univ Tehran, Fac Engn, Sch Mech Engn, Intelligent Based Expt Mech Ctr Excellence, Tehran, Iran

来源：

ENERGY CONVERSION AND MANAGEMENT | 2010年 / 51卷 / 01期

关键词：

Brayton cycle; Inversed Brayton cycle; Multi-objective optimization; Genetic algorithms; EVOLUTIONARY ALGORITHMS; PARETO-OPTIMIZATION; GAS; SYSTEM;

D O I：

10.1016/j.enconman.2009.09.015

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

This paper presents a simultaneous optimization study of two outputs performance of a previously proposed combined Brayton and inverse Brayton cycles. It has been carried out by varying the upper cycle pressure ratio, the expansion pressure of the bottom cycle and using variable, above atmospheric, bottom cycle inlet pressure. Multi-objective genetic algorithms are used for Pareto approach optimization of the cycle outputs. The two important conflicting thermodynamic objectives that have been considered in this work are net specific work (w(s)) and thermal efficiency (eta(th)). It is shown that some interesting, features among optimal objective functions and decision variables involved in the Baryton and inverse Brayton cycles can be discovered consequently. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：212 / 217

页数：6

共 15 条

[1] Simulation of combined Brayton and inverse Brayton cycles [J].