Extractive distillation of cycloalkane monomers from the direct coal liquefaction fraction

IF 4.3 3区 工程技术 Q2 ENGINEERING, CHEMICAL
Shuo-Shuo Zhang, Xing-Bao Wang, Wen-Ying Li
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引用次数: 0

Abstract

Separating monomeric cycloalkanes from naphtha obtained from direct coal liquefaction not only facilitates the valuable utilization of naphtha but also holds potential for addressing China’s domestic chemical feedstock market demand for these compounds. In extractive distillation processes of naphtha, relative volatility serves as a crucial parameter for extractant selection. However, determining relative volatility through conventional vapor-liquid equilibrium experiments for extractant selection proves challenging due to the complexity of naphtha’s compound composition. To address this challenge, a prediction model for the relative volatility of n-heptane/methylcyclohexane in various extractants has been developed using machine-learning quantitative structure-property relationship methods. The model enables rapid and cost-effective extractant selection. The statistical analysis of the model revealed favorable performance indicators, including a coefficient of determination of 0.88, cross-validation coefficient of 0.94, and root mean square error of 0.02. Factors such as α, EHOMO, ρ, and logPoct/water collectively influence relative volatility. Analysis of standardized coefficients in the multivariate linear regression equation identified density as the primary factor affecting the relative volatility of n-heptane/methylcyclohexane in the different extractants. Extractants with higher densities, devoid of branched chains, exhibited increased relative volatility compared to their counterparts with branched chains. Subsequently, the process of separating cycloalkane monomers from direct coal liquefaction products via extractive distillation was optimized using Aspen Plus software, achieving purities exceeding 0.99 and yields exceeding 0.90 for cyclohexane and methylcyclohexane monomers. Economic, energy consumption, and environmental assessments were conducted. Salicylic acid emerged as the most suitable extractant for purifying cycloalkanes in direct coal liquefaction naphtha due to its superior separation effectiveness, cost efficiency, and environmental benefits. The tower parameters of the simulated separation unit provide valuable insights for the design of actual industrial equipment.

Abstract Image

从煤直接液化馏分中提取环烷烃单体
从煤炭直接液化获得的石脑油中分离单体环烷烃,不仅能促进石脑油的宝贵利用,还能满足中国国内化工原料市场对这些化合物的需求。在石脑油的萃取蒸馏过程中,相对挥发度是选择萃取剂的关键参数。然而,由于石脑油化合物成分的复杂性,通过传统的汽液平衡实验来确定相对挥发度以选择萃取剂具有挑战性。为了应对这一挑战,我们采用机器学习定量结构-性能关系方法,开发了一个正庚烷/甲基环己烷在各种萃取剂中的相对挥发性预测模型。该模型能够快速、经济地选择萃取剂。该模型的统计分析显示了良好的性能指标,包括确定系数为 0.88,交叉验证系数为 0.94,均方根误差为 0.02。α、EHOMO、ρ 和 logPoct/water 等因素共同影响着相对波动率。多元线性回归方程中的标准化系数分析表明,密度是影响不同萃取剂中正庚烷/甲基环己烷相对挥发度的主要因素。密度较高、无支链的萃取剂与有支链的萃取剂相比,相对挥发性更高。随后,使用 Aspen Plus 软件对通过萃取蒸馏从煤直接液化产品中分离环烷烃单体的工艺进行了优化,环己烷和甲基环己烷单体的纯度超过 0.99,收率超过 0.90。进行了经济、能耗和环境评估。水杨酸因其卓越的分离效果、成本效率和环境效益,成为净化煤直接液化石脑油中环烷烃的最合适萃取剂。模拟分离装置的塔参数为实际工业设备的设计提供了宝贵的启示。
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来源期刊
CiteScore
7.60
自引率
6.70%
发文量
868
审稿时长
1 months
期刊介绍: Frontiers of Chemical Science and Engineering presents the latest developments in chemical science and engineering, emphasizing emerging and multidisciplinary fields and international trends in research and development. The journal promotes communication and exchange between scientists all over the world. The contents include original reviews, research papers and short communications. Coverage includes catalysis and reaction engineering, clean energy, functional material, nanotechnology and nanoscience, biomaterials and biotechnology, particle technology and multiphase processing, separation science and technology, sustainable technologies and green processing.
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