首页> 外文期刊>Energy Conversion & Management >Multi-objective thermodynamic-based optimization of output power of Solar Dish-Stirling engine by implementing an evolutionary algorithm
【24h】

Multi-objective thermodynamic-based optimization of output power of Solar Dish-Stirling engine by implementing an evolutionary algorithm

机译:基于多目标热力学的太阳能碟式斯特林发动机输出功率优化

获取原文
获取原文并翻译 | 示例
           

摘要

A solar-powered high temperature differential Stirling engine has been considered for optimization with multiple criteria. A mathematical model based on the finite-time thermodynamics has been developed so that the output power and thermal efficiency and the rate of entropy generation of the solar Stirling system with finite rate of heat transfer, regenerative heat loss, conductive thermal bridging loss and finite regeneration process time are obtained. Furthermore, imperfect performance of the dish collector and convective/radiative heat transfer mechanisms at the hot end as well as the convective heat transfer at the heat sink of the engine are considered in the developed model. Three objective functions including the output power and overall thermal efficiency have been considered simultaneously for maximization and the rate of entropy generation of the Stirling engine are minimized at the same time. Multi-objective evolutionary algorithms (MOEAs) based on NSGA-Ⅱ algorithm has been employed while the Effective-ness's of regenerator, the Effectiveness's of the low temperature heat exchanger, the Effectiveness's of the high temperature heat exchanger, heat capacitance rate of the heat sink, heat capacitance rate of the heat source, temperatures of the working fluid in the high temperature isothermal process and temperatures of the working fluid in the low temperature isothermal process are considered as decision variables. Pareto optimal frontier has been obtained and a final optimal solution has been selected using various decision-making approaches including the fuzzy Bellman-Zadeh, LINMAP and TOPSIS methods.
机译:太阳能高温差动斯特林发动机已考虑采用多个标准进行优化。已经建立了基于有限时间热力学的数学模型,从而使太阳能斯特林系统的输出功率和热效率以及熵产生率具有有限的热传递率,再生热损耗,传导性热桥接损耗和有限再生率。获得处理时间。此外,在开发的模型中考虑了集热器和热端对流/辐射传热机制以及发动机散热器上对流传热的不完美性能。同时考虑了三个目标函数,包括输出功率和整体热效率,以实现最大化,同时斯特林发动机的熵产生率也最小化。运用了基于NSGA-Ⅱ算法的多目标进化算法(MOEA),再生器的有效性,低温换热器的有效性,高温换热器的有效性,散热器的热容率决定因素包括热源的热容率,高温等温过程中的工作流体温度和低温等温过程中的工作流体温度。已获得帕累托最优边界,并使用包括模糊Bellman-Zadeh,LINMAP和TOPSIS方法在内的各种决策方法选择了最终的最优解。

著录项

  • 来源
    《Energy Conversion & Management》 |2013年第11期|438-445|共8页
  • 作者单位

    Faculty of Mechanical Engineering-Energy Division, K.N. Toosi University of Technology, Tehran 1999 143344, Iran,Institut de Recherche en Genie Chimique et Petrolier (IRGCP), Paris Cedex, France;

    Institut de Recherche en Genie Chimique et Petrolier (IRGCP), Paris Cedex, France,Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041, South Africa;

    Faculty of Mechanical Engineering-Energy Division, K.N. Toosi University of Technology, Tehran 1999 143344, Iran;

    Departamento de Formation Basica, Escuela Superior de Computo del IPN, Av. Miguel Bernard Esq. Juan de Dios Batiz., U.P. Zacatenco, CP 07738, D.F., Mexico, Mexico;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Decision-making; Evolutionary algorithms; Multi-objective optimization; Thermodynamic analysis; Solar-Dish Stirling engine; Entropy generation;

    机译:做决定;进化算法;多目标优化;热力学分析;太阳能碟式斯特林发动机;熵产生;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号