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首页> 外文期刊>Energy Conversion & Management >Performance prediction and optimization of an organic Rankine cycle (ORC) for waste heat recovery using back propagation neural network
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Performance prediction and optimization of an organic Rankine cycle (ORC) for waste heat recovery using back propagation neural network

机译：用反向传播神经网络对废热回收的有机朗肯循环（ORC）的性能预测和优化

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摘要

Performance prediction and multi-objective optimization for an organic Rankine cycle (ORC) using back propagation (BP) neural network are investigated in this study. A 3 kW ORC experiment platform is used to obtain 950 sets of basic experimental data, and a BP-ORC model using back propagation neural network is established by training the experimental data. The prediction accuracy of the BP-ORC model is analyzed according to the errors of the training samples and test samples. The effects of six operation parameters on thermal efficiency and net output work are addressed. The Pareto optimal frontier for maximum net output work and maximum thermal efficiency is examined. The results demonstrate that the prediction error of BP-ORC model is very low, and the system performance can be improved by adjusting several operating parameters experimentally according to the model prediction. A tradeoff relation is appeared between net output work and thermal efficiency. The optimal thermal efficiency and net output work for Pareto-optimal solution are obtained.
机译：在本研究中研究了使用反向传播（BP）神经网络的有机朗肯循环（ORC）的性能预测和多目标优化。通过培训实验数据，建立了3 kW ORC实验平台来获得950组基本实验数据，并且使用反向传播神经网络的BP-ORC模型。根据训练样本和测试样品的误差分析BP-ORC模型的预测精度。六种操作参数对热效率和净输出工作的影响得到了解决。检查最大净输出工作和最大热效率的Pareto最佳边界。结果表明，BP-ORC模型的预测误差非常低，并且可以通过根据模型预测通过通过实验调整多个操作参数来提高系统性能。净输出工作和热效率之间出现了权衡关系。获得了Pareto-Optimal解决方案的最佳热效率和净输出工作。

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  • 来源
    《Energy Conversion & Management》 |2020年第12期|113552.1-113552.17|共17页
  • 作者

    Feng Yong-qiang; Liu Yu-Zhuang; Wang Xin; He Zhi-Xia; Hung Tzu-Chen; Wang Qian; Xi Huan;

  • 作者单位

    Jiangsu Univ Sch Energy & Power Engn Zhenjiang Peoples R China;

    Jiangsu Univ Sch Energy & Power Engn Zhenjiang Peoples R China;

    Jiangsu Univ Sch Energy & Power Engn Zhenjiang Peoples R China;

    Jiangsu Univ Inst Energy Res Zhenjiang Peoples R China;

    Natl Taipei Univ Technol Dept Mech Engn Taipei Taiwan;

    Jiangsu Univ Sch Energy & Power Engn Zhenjiang Peoples R China;

    Xi An Jiao Tong Univ Key Lab Thermofluid Sci & Engn Minist Educ Sch Energy & Power Engn Xian 710049 Peoples R China|Qinghai Univ New Energy Photovolta Ind Res Ctr Xining 810016 Peoples R China;

  • 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

    BP neural network; BP-ORC model; Organic Rankine Cycle (ORC); Multi-objective optimization;

    机译：BP神经网络;BP-ORC模型;有机朗肯循环（ORC）;多目标优化;

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