| 一种基于常规物性的石脑油组成的预测方法 |
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| 引用本文： | 宋光,邱彤,田亮.一种基于常规物性的石脑油组成的预测方法[J].计算机与应用化学,2011,28(11). |
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| 作者姓名： | 宋光 邱彤 田亮 |
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| 作者单位： | 1. 清华大学化学工程系,北京,100084
2. 中国石油兰州化工研究中心,甘肃,兰州,730060 |
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| 摘 要： | 乙烯工业与国民经济和人民生活息息相关,针对石脑油裂解制乙烯过程的模拟与优化成为研究热点。为了实现基于自由基的裂解动力学模型的石脑油裂解模拟,需要准确的石脑油详细烃组成数据。本文以石脑油详细烃组成预测系统研究为题,开展基于石脑油常规物性数据预测石脑油详细烃组成的研究工作,所完成的工作具有重要理论意义和应用价值。通过对不同原料产地的8套石脑油详细烃数据的分析,对物性相近的组分进行集总,最终确定了50种预测烃类。改进了利用PIONA值对组成进行族校正和碳数校正的方法。通过对6种不同地区石脑油组成的进一步研究,发现部分同分异构的组成所占比重具有一定规律,优化计算得到组成校正中部分同分异构组成间的分配权重,使组成预测精度进一步提高。
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| 关 键 词： | 石脑油 详细烃 PIONA 预测 |
A method to predict naphtha detailed composition based on normal physical characteristics |
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| Song Guang,Qiu Tong,Tian Liang.A method to predict naphtha detailed composition based on normal physical characteristics[J].Computers and Applied Chemistry,2011,28(11). |
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| Authors: | Song Guang Qiu Tong Tian Liang |
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| Affiliation: | Song Guang~1,Qiu Tong~1 and Tian Liang~2 (1.Department of Chemical Engineering,Tsinghua University,Beijing,100084,China) (2.Lanzhou Petrochemical Research Center,Petro China,Lanzhou,730060,Gansu,China) |
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| Abstract: | Ethylene industry is closed related to national economy and people's lives,which lead to heated researches in simulation and optimal problem of process that produce ethylene by naphtha pyrolysis.In order to obtain naphtha pyrolysis stimulation that based on pyrolysis kinetics model of free-radical,exact data of detailed hydrocarbon composition of naphtha is needed.This paper,with the title of detailed hydrocarbon composition of naphtha prediction system,based on naphtha nonnal physical characteristics to pr... |
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| Keywords: | naphtha composition prediction PONA value engler distillation true boiling point density |
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