Cloud point prediction of fuels and fuel blends

被引：38

作者：

Mirante, FIC ^{[1
]}

Coutinho, JAP ^{[1
]}

机构：

[1] Univ Aveiro, Dept Quim, P-3810193 Aveiro, Portugal

来源：

FLUID PHASE EQUILIBRIA | 2001年 / 180卷 / 1-2期

关键词：

cloud point; fuel blends; n-alkane;

D O I：

10.1016/S0378-3812(01)00352-1

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

The cloud point temperature, the temperature at which the first wax crystals appear in solution, is one of the most important specifications associated with the low temperature behaviour of a fuel. A database of about 80 fuels and fuel blends was collected and used to assess the performance of the three predictive local composition models (Wilson, NRTL and UNIQUAC) for cloud point prediction. The results indicates that Predictive UNIQUAC can predict the cloud points of the fuels within the experimental uncertainty of the measurements. It could thus be a useful tool in the production of fuels both in the design of refining process and the blend of fuels to meet the low temperature specifications. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：247 / 255

页数：9

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