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Parameter Estimation of Fouling Models in Crude Preheat Trains

机译:粗预热列车结垢模型的参数估计。

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摘要

Several fouling mitigation techniques depend on the capacity of predicting fouling rates. Therefore, the identification of accurate fouling rate models is an important task. Crude fouling rates are usually evaluated through empirical or semiempirical models. In both alternatives, there are parameters that must be determined through laboratory or process data. In this context, the article presents an analysis of the parameter estimation problem involving fouling rate models. A proposed procedure for addressing this problem is described through the development of a computational routine called HEATMODEL. An important aspect of this study is focused on the obstacles associated to the search for the optimal set of parameters of the Ebert and Panchal models and its variants. This optimization problem may present some particularities that complicate the utilization of traditional algorithms. In the article, the performance of a conventional optimization algorithm (Simplex) is compared with a more modern numerical technique (a hybrid genetic algorithm) using real data from a Brazilian refinery. The results indicated that, due to the complexity of the parameter estimation problem, the Simplex method may be trapped in poor local optima, thus indicating the importance of the utilization of global optimization techniques for this problem.
机译:几种结垢缓解技术取决于预测结垢率的能力。因此,准确的结垢率模型的识别是一项重要的任务。粗污垢率通常通过经验或半经验模型进行评估。在这两种选择中,必须通过实验室或过程数据确定参数。在这种情况下,本文对涉及结垢率模型的参数估计问题进行了分析。通过开发称为HEATMODEL的计算例程来描述解决此问题的建议过程。这项研究的一个重要方面集中在与寻找Ebert和Panchal模型及其变体的最佳参数集相关的障碍。此优化问题可能会带来一些使传统算法的使用复杂化的特性。在本文中,使用来自巴西炼油厂的真实数据,将传统优化算法(Simplex)的性能与更现代的数值技术(混合遗传算法)进行了比较。结果表明,由于参数估计问题的复杂性,单纯形法可能被困在较差的局部最优中,从而表明利用全局优化技术解决此问题的重要性。

著录项

  • 来源
    《Heat Transfer Engineering》 |2013年第9期|683-691|共9页
  • 作者单位

    Address correspondence to Professor Andre Luiz Hemerly Costa, Rio de Janeiro State University (UERJ), Rua Sao Francisco Xavier, 524, Rio de Janeiro, RJ, Brazil;

    Federal University of Rio de Janeiro, Rio de Janeiro, Brazil;

    Federal University of Rio de Janeiro, Rio de Janeiro, Brazil;

    Federal University of Rio de Janeiro, Rio de Janeiro, Brazil;

    Federal University of Rio de Janeiro, Rio de Janeiro, Brazil;

    Petr61eo Brasileiro S.A., Research and Development Center Leopoldo Americo Miguez de Mello, Rio de Janeiro, Brazil;

    Petr61eo Brasileiro S.A., Research and Development Center Leopoldo Americo Miguez de Mello, Rio de Janeiro, Brazil;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
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