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Viscosity of Coal-Derived Liquids. 2. Application of the Model to Coal Liquid Fractions

机译:煤衍生液体的粘度。 2.模型在煤液馏分中的应用

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摘要

The group contribution viscosity model for pure coal model liquids described in a previous paper (Energy Fuels 1995, 10, 333) has been successfully extended to binary liquid mixtures of coal model compounds, and a procedure has been developed to use the model for computation of viscosities of coal-derived liquids. It is shown that simple mixing rules, or even a pseudopure component model, is adequate to estimate mixture viscosity within reasonable accuracy for these compounds. For application of the model to coal-derived liquids, a data set on SRC-Ⅱ coal liquid cuts available in the literature has been used. Sufficient chemical analysis data were available for these cuts to make the application of our model possible. The computational procedure involved transformation of the analytical data into functional group characterization of the coal liquid. Central to this procedure was the definition of types and distributions of various ring structures in multiring compounds. When compared to limited studies available in the literature, this model predicts viscosities of coal liquids with better accuracy. Overall, this is the first viscosity model that has been developed for the type of structures that exist in coal-derived liquids, and provides a reasonably accurate procedure for computation of viscosities of narrow boiling coal liquid cuts, a property that is necessary in designing efficient coal liquefaction processes.
机译:先前的论文(Energy Fuels 1995,10,333)中描述的纯煤模型液体的基团贡献粘度模型已成功扩展到煤模型化合物的二元混合液体中,并且已经开发了一种使用该模型来计算模型的程序。煤衍生液体的粘度。结果表明,简单的混合规则,甚至是伪纯组分模型,都足以在合理的精度范围内估算这些化合物的混合物粘度。为了将该模型应用到煤衍生的液体中,已经使用了文献中有关SRC-Ⅱ煤液切割的数据集。这些削减可获得足够的化学分析数据,以使我们的模型得以应用。计算过程涉及将分析数据转换为煤液的官能团表征。该过程的中心是定义多环化合物中各种环结构的类型和分布。当与文献中的有限研究进行比较时,该模型可以更准确地预测煤液的粘度。总体而言,这是针对存在于煤的液体中的结构类型而开发的第一个粘度模型,它为计算窄沸腾的煤液馏分的粘度提供了合理准确的程序,这是设计有效的设计所必需的。煤液化过程。

著录项

  • 来源
    《Energy & Fuels》 |1996年第2期|p.341-347|共7页
  • 作者单位

    Chemical Engineering Department, North Carolina A&T State University, Greensboro, North Carolina 27411;

  • 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
  • 中图分类 TK-;
  • 关键词

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