Thermo-economic multi-objective optimization of solar dish-Stirling engine by implementing evolutionary algorithm

被引：191

作者：

Ahmadi, Mohammad H. ^{[1
]}

Sayyaadi, Hoseyn ^{[1
]}

Mohammadi, Amir H. ^{[2
,3
]}

Barranco-Jimenez, Marco A. ^{[4
]}

机构：

[1] KN Toosi Univ Technol, Fac Mech Engn, Div Engn, Tehran, Iran

[2] IRGCP, Paris, France

[3] Univ KwaZulu Natal, Sch Chem Engn, Thermodynam Res Unit, ZA-4041 Durban, South Africa

[4] Escuela Super Computodel IPN, Dept CienciasBasicas, Up Zacatenco 07738, DF, Mexico

来源：

ENERGY CONVERSION AND MANAGEMENT | 2013年 / 73卷

关键词：

Solar-dish; Stirling engine; Finite time thermo-economic; NSGA-II; Decision making; Thermal efficiency; ENTROPY GENERATION MINIMIZATION; ENDOREVERSIBLE HEAT ENGINE; PERFORMANCE ANALYSIS; POWER; ENERGY; THERMODYNAMICS; EFFICIENCY; CYCLES;

D O I：

10.1016/j.enconman.2013.05.031

中图分类号：

O414.1 [热力学];

学科分类号：

070201 [理论物理];

摘要：

In the recent years, remarkable attention is drawn to Stirling engine due to noticeable advantages, for instance a lot of resources such as biomass, fossil fuels and solar energy can be applied as heat source. Great number of studies are conducted on Stirling engine and finite time thermo-economic is one of them. In the present study, the dimensionless thermo-economic objective function, thermal efficiency and dimensionless power output are optimized for a dish-Stirling system using finite time thermo-economic analysis and NSGA-II algorithm. Optimized answers are chosen from the results using three decision-making methods. Error analysis is done to find out the error through investigation. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：370 / 380

页数：11

共 42 条

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[2]

Ahmadi MH, 2012, NEURAL COMPUT APPL

[3]

Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss [J].