CIESC Journal ›› 2022, Vol. 73 ›› Issue (12): 5449-5460.DOI: 10.11949/0438-1157.20221231

• Process system engineering • Previous Articles     Next Articles

Lumping gasoline with molecular properties and density peak clustering

Huaixu LI(), Xiaoyan SUN(), Shaohui TAO, Li XIA, Shuguang XIANG   

  1. Institute of Process System Engineering, College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao 266042, Shandong, China
  • Received:2022-09-09 Revised:2022-10-17 Online:2023-01-17 Published:2022-12-05
  • Contact: Xiaoyan SUN

基于分子热力学性质和密度峰聚类的脱硫汽油集总

李怀旭(), 孙晓岩(), 陶少辉, 夏力, 项曙光   

  1. 青岛科技大学化工学院,过程系统工程研究所,山东 青岛 266042
  • 通讯作者: 孙晓岩
  • 作者简介:李怀旭(1997—),男,硕士研究生,2438906689@qq.com
  • 基金资助:
    国家自然科学基金项目(22178190)

Abstract:

With advancement in petroleum molecular management technology, oil and its downstream products like gasoline are characterized by their real molecular composition. While the molecular characterization of oil products brings more detailed information, it also leads to a sharp increase in the scale and computational complexity of oil refining process simulation and optimization models. To solve this problem, a density peak clustering technique, which does not require a predetermined number of categories, is applied and the oil is lumped by thermodynamic properties of the real components, thus the oil product is fully characterized by a small number of pseudo-components. Taking a desulfurized gasoline feed in a certain process as an example, the density peak clustering lumping method was applied to the lumping of this gasoline. The results indicated that the number of components of gasoline products is greatly reduced by the proposed approach, and the simulation efficiency of the gasoline fractionator is effectively improved while the simulation accuracy is guaranteed.

Key words: petroleum molecular management, oil lumping, density peak clustering, algorithm, petroleum, thermodynamic properties

摘要:

随着石油分子管理技术的进步,石油及其下游的汽油等产品逐渐以其真实分子组成进行表征。而油品的分子表征在带来更详实信息的同时,也导致炼油过程模拟与优化模型的规模和计算量急剧上升。针对这一问题,应用无须事先确定类别数的密度峰聚类技术,并基于真实组分的热力学性质对油品进行集总,从而以少量虚拟组分对产品油进行充分表征。针对某装置的脱硫汽油集总结果表明,所提出的密度峰聚类集总方法极大地降低了表征汽油产品的分子数目,并在保证模拟精度的同时,有效地提高了汽油分馏塔的模拟计算效率。

关键词: 石油分子管理, 油品集总, 密度峰聚类, 算法, 石油, 热力学性质

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