Naphtha characterization based on a molecular-type homologous series vector representation

doi:10.16511/j.cnki.qhdxxb.2016.24.022

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Abstract A novel homologous series vector representation method was developed for naphtha in which each homologous molecule of naphtha is defined as a state variable and all these variables are then used to construct a high dimension vector space. Thus, any variation of naphtha as one point in this vector space can be blended linearly by a group of independent naphthas named Basis Oils. These basis oils are obtained using the non-negative matrix factorization (NMF) method with the components data matrix of a huge number of naphtha samples factorized into a characteristic matrix with a lower dimension and its coefficient matrix. In a case study, a naphtha model containing 21 groups of naphtha bases was extracted from 59 groups of naphtha samples with a maximum representation error of less than 2.5 percent of the original data.

Keywords naphtha detailed group components molecular-type homologous series vector representation non-negative matrix factorization (NMF)

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Issue Date: 15 July 2016

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	MEI Hua
	DU Yupeng
	WANG Zhenlei
	QIAN Feng

Cite this article:

MEI Hua,DU Yupeng,WANG Zhenlei, et al. Naphtha characterization based on a molecular-type homologous series vector representation[J]. Journal of Tsinghua University(Science and Technology), 2016, 56(7): 723-727.

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http://jst.tsinghuajournals.com/EN/10.16511/j.cnki.qhdxxb.2016.24.022 OR http://jst.tsinghuajournals.com/EN/Y2016/V56/I7/723

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