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Thermo-economic selection criteria of working fluid used in dual-loop ORC for engine waste heat recovery by multi-objective optimization

机译:双环兽人使用的热经济选择标准用于发动机废热回收多目标优化

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摘要

The dual-loop organic Rankine cycle(DORC) is considered as an important way for engine waste heat recovery (WHR). Currently, researchers mainly focus on thermodynamic analysis and the performance comparison of multiple existing working fluid pairs without optimizing the working fluid pairs. Therefore, a novel analysis method of selection criteria based on thermodynamic and economic is provided to select a suitable working fluid using the multi-objective optimization. Firstly, a multi-objective optimization was performed using the Non-dominated sorting genetic algorithm-II(NSGA-ll) to maximize exergy efficiency and minimize payback period under 24 candidate working fluid pairs from the references. And the Technical for Order Preference by Similarity to an Ideal Solution (TOPSIS) method was applied to select the Pareto optimal solutions using different kinds of working fluid pairs. Finally, the optimization results were analyzed by the grey relational analysis(GRA). The results show that the critical temperature can be used as the thermo-economic critical for working fluids selection in DORC system, such as the ideal working fluid pairs with the critical temperature in the range of 580-600 K of the HT cycle and the critical temperature in the range of 380-415 K of the LT cycle. And the optimal candidate is toluene/R124.
机译:双环有机朗肯循环(DORC)被认为是发动机废热回收(WHR)的重要途径。目前,研究人员主要关注热力学分析和多个现有工作流体对的性能比较而不优化工作流体对。因此,提供了一种基于热力学和经济学的选择标准的新型分析方法,以选择使用多目标优化的合适的工作流体。首先,使用非主导的分类遗传算法-II(NSGA-LL)来进行多目标优化,以最大化高度效率,并最大限度地减少来自参考文献的24个候选工作流体对的回收期。并且应用了与理想解决方案(TopSIS)方法相似性的顺序偏好,用于使用不同种类的工作流体对选择Pareto最佳解决方案。最后,通过灰色关系分析(GRA)分析了优化结果。结果表明,临界温度可用作DORC系统中的工作流体选择的热经济学,例如理想的工作流体对,其临界温度为580-600 k的HT周期和临界LT循环380-415 k的温度。最佳候选者是甲苯/ R124。

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  • 来源
    《Energy 》 |2020年第15期| 117053.1-117053.11| 共11页
  • 作者单位

    Institute of Mechanical Engineering Xiang Tan University Xiangtan 411105 China;

    Institute of Mechanical Engineering Xiang Tan University Xiangtan 411105 China;

    Institute of Mechanical Engineering Xiang Tan University Xiangtan 411105 China;

    Institute of Mechanical Engineering Xiang Tan University Xiangtan 411105 China;

    Institute of Mechanical Engineering Xiang Tan University Xiangtan 411105 China;

    School of Mechanical Materials Mechatronic and Biomedical Engineering University of Wollongong Wollongong NSW 2522 Australia;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    DORC; Multi-objection optimization; Working fluid pairs; NSGA-II; WHR;

    机译:DORC;多异议优化;工作流体对;NSGA-II;WHR.;

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