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Inverse modeling of a solar collector involving Fourier and non-Fourier heat conduction

机译:涉及傅立叶和非傅立叶热传导的太阳能集热器的逆模型

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摘要

This article applies the golden section search method (GSSM), simplex search method (SSM) and differential evolution (DE) for predicting the unknown Fourier number (Fo), Vernotte number (Ve) and non-dimensional solar heat flux (S~*) in a flat-plate solar collector when subjected to a given temperature requirement. The required temperature field is calculated using an analytical forward method by considering Fourier and non-Fourier heat conduction, and using this, the inverse problem is solved to predict the Fo, Ve and S~* which are assumed to be the unknown parameters. The study reveals that the temperature field is highly sensitive to the Fo, thus even a small error in the temperature measurement can result in an unrealistic estimation of heating time of the collector. The present study is proposed to be useful in determining the time, the time lag and solar heat flux for controlled heating of an absorber plate within a stipulated time, which will be required to attain a prescribed/desired temperature distribution. Additionally, the study also shows that subjected to different time levels, the same temperature distribution is possible through different absorber plate materials. It has been observed from the present study that apart from SSM and DE, GSSM fails to estimate the unknown parameters at large value of Ve and small value of Fo, due to the associated fluctuation in the measured temperature field. The present study further discusses the computational performance of direct search method (e.g. GSSM and SSM) with that of the evolutionary method (DE) in terms of the maximum number of iteration and CPU time required to achieve the desired objective.
机译:本文应用黄金分割搜索方法(GSSM),单纯形搜索方法(SSM)和微分演化(DE)来预测未知傅里叶数(Fo),维诺特数(Ve)和无量纲太阳热通量(S〜* )在平板太阳能集热器中,要承受给定的温度要求。通过考虑傅立叶和非傅立叶热传导,使用分析正演方法计算所需的温度场,并以此求解反问题以预测被假定为未知参数的Fo,Ve和S〜*。研究表明,温度场对Fo高度敏感,因此,即使温度测量中的微小误差也可能导致对集热器加热时间的不切实际的估计。提出本研究对于确定在规定的时间内控制吸收板的加热的时间,时间滞后和太阳热通量是有用的,这将需要达到规定/期望的温度分布。此外,研究还表明,在不同的时间水平下,通过不同的吸收板材料可以实现相同的温度分布。从本研究中已经观察到,由于测量温度场的相关波动,除了SSM和DE之外,GSSM无法估计大的Ve值和小的Fo值时的未知参数。本研究进一步讨论了直接搜索方法(例如GSSM和SSM)的计算性能与进化方法(DE)的计算性能之间的关系,以达到所需的最大迭代次数和CPU时间。

著录项

  • 来源
    《Applied Mathematical Modelling》 |2014年第22期|5126-5148|共23页
  • 作者单位

    School of Mechanical, Materials and Energy Engineering, Indian Institute of Technology Ropar, Punjab 140 001, India;

    School of Mechanical, Materials and Energy Engineering, Indian Institute of Technology Ropar, Punjab 140 001, India;

    School of Mechanical, Materials and Energy Engineering, Indian Institute of Technology Ropar, Nangal Road, Rupnagar, Punjab 140 001, India;

    Department of Mechanical Engineering, Tezpur University, Napaam 784 028, India,Department of Mechanical Engineering, Indian School of Mines, Dhanbad 826 004, India;

    School of Mechanical, Materials and Energy Engineering, Indian Institute of Technology Ropar, Punjab 140 001, India;

  • 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

    Fourier; Non-Fourier; Direct and evolutionary search; Fourier number; Solar collector;

    机译:傅里叶非傅里叶直接和进化搜索;傅立叶数;太阳能集热器;

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