Modified molecular matrix model for predicting molecular composition of naphtha

doi:10.1016/j.cjche.2017.01.008

Chinese Journal of Chemical Engineering ›› 2017, Vol. 25 ›› Issue (12): 1856-1862.DOI: 10.1016/j.cjche.2017.01.008

• 第25届中国过程控制会议专栏 • 上一篇下一篇

Modified molecular matrix model for predicting molecular composition of naphtha

Kun Wang, Shiyu Li

School of Chemical Engineering and Technology, Tianjin University, Tianjin 300354, China

收稿日期:2016-09-22 修回日期:2016-12-22 出版日期:2017-12-28 发布日期:2018-01-18
通讯作者: Shiyu Li,E-mail address:shyli@tju.edu.cn.
基金资助:
Supported by the National Natural Science Foundation of China (U1462206).

Modified molecular matrix model for predicting molecular composition of naphtha

Kun Wang, Shiyu Li

School of Chemical Engineering and Technology, Tianjin University, Tianjin 300354, China

Received:2016-09-22 Revised:2016-12-22 Online:2017-12-28 Published:2018-01-18
Contact: Shiyu Li,E-mail address:shyli@tju.edu.cn.
Supported by:
Supported by the National Natural Science Foundation of China (U1462206).

摘要/Abstract

摘要： To improve the naphtha composition prediction model based on molecular type homologous series matrix (MTHS), this paper puts forward a novelmolecular matrix to characterize the naphtha composition and the normal distribution hypothesis to better describe the molecular composition distribution within each homologous series of the molecular matrix. Through prediction calculation of eight groups of naphtha samples and eight groups of gasoline samples, it is verified that the normal distribution hypothesis is more applicable than gamma distribution hypothesis for the prediction model. According to the prediction results of the samples, the restrain range of normal distribution parameters during model computing process is summarized. With the bulk properties of naphtha samples and the value range of distribution parameters as input conditions, this study utilizes the improved novelmolecular matrix to predict the composition of naphtha samples. As the results show, the novel molecular matrix can predict more detailed composition information of naphtha and improve prediction accuracy with less unknown parameters.

关键词: MTHS molecular matrix, Distribution assumption, Naphtha, Molecular composition, Prediction model

Abstract: To improve the naphtha composition prediction model based on molecular type homologous series matrix (MTHS), this paper puts forward a novelmolecular matrix to characterize the naphtha composition and the normal distribution hypothesis to better describe the molecular composition distribution within each homologous series of the molecular matrix. Through prediction calculation of eight groups of naphtha samples and eight groups of gasoline samples, it is verified that the normal distribution hypothesis is more applicable than gamma distribution hypothesis for the prediction model. According to the prediction results of the samples, the restrain range of normal distribution parameters during model computing process is summarized. With the bulk properties of naphtha samples and the value range of distribution parameters as input conditions, this study utilizes the improved novelmolecular matrix to predict the composition of naphtha samples. As the results show, the novel molecular matrix can predict more detailed composition information of naphtha and improve prediction accuracy with less unknown parameters.

Key words: MTHS molecular matrix, Distribution assumption, Naphtha, Molecular composition, Prediction model

Kun Wang, Shiyu Li. Modified molecular matrix model for predicting molecular composition of naphtha[J]. Chinese Journal of Chemical Engineering, 2017, 25(12): 1856-1862.

Kun Wang, Shiyu Li. Modified molecular matrix model for predicting molecular composition of naphtha[J]. Chin.J.Chem.Eng., 2017, 25(12): 1856-1862.

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