化工学报 ›› 2022, Vol. 73 ›› Issue (11): 4838-4849.DOI: 10.11949/0438-1157.20221032

• 热力学 • 上一篇    下一篇

CO2-烃类液相混合物比定容热容的实验与模型研究

高亚慧(), 夏淑倩()   

  1. 天津大学化工学院,绿色合成与转化教育部重点实验室,天津 300350
  • 收稿日期:2022-07-26 修回日期:2022-10-13 出版日期:2022-11-05 发布日期:2022-12-06
  • 通讯作者: 夏淑倩
  • 作者简介:高亚慧(1995—),女,博士研究生,yahuigao@tju.edu.cn
  • 基金资助:
    国家重点研发计划项目(2016YFB0600804-3)

Experiment and model for isochoric heat capacity of CO2-hydrocarbon liquid phase mixtures

Yahui GAO(), Shuqian XIA()   

  1. Key Laboratory for Green Chemical Technology of the Ministry of Education, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300350, China
  • Received:2022-07-26 Revised:2022-10-13 Online:2022-11-05 Published:2022-12-06
  • Contact: Shuqian XIA

摘要:

近年来,二氧化碳(CO2)提高原油采收率(CO2-EOR)技术得到了广泛的研究。充分了解CO2-烃类混合物的热容性质是该项目能够成功实施的基础,但是目前对此性质的研究非常有限。基于绝热量热法,搭建了一个绝热量热计,测量了温度为317.15~353.15 K,压力高达29.49 MPa时,CO2-碳氢化合物(正己烷、正辛烷、十一烷、环己烷、乙苯)二元液相混合物的比定容热容(Cv )数据,共获得335个数据点。此外,采用预测模型(结合热力学关系的PR状态方程)和经验模型计算Cv,计算平均绝对相对偏差(AARD)分别为0.81%~3.66%和小于2.56%。经验模型的形式简单,但PR模型有较强的预测能力。实验测得的Cv 数据以及建立的两种计算模型对CO2-EOR项目的实施至关重要。

关键词: 二氧化碳, 碳氢化合物, 二元混合物, 比定容热容, PR模型, 经验模型

Abstract:

Carbon dioxide (CO2) enhanced oil recovery (EOR) technology has been extensively studied in recent years. A full understanding of the heat capacity properties of CO2-hydrocarbon mixtures is critical for the successful implementation of this project, while there is limited research on this. An adiabatic calorimeter was set up based on the adiabatic calorimetry method, and the isochoric heat capacity (Cv ) data of CO2-hydrocarbon (n-hexane, n-octane, undecane, cyclohexane, ethylbenzene) binary liquid phase mixtures were measured at temperatures range from 317.15 K to 353.15 K and pressures up to 29.49 MPa, and a total of 335 data points were obtained. In addition, a predictive model (PR equation of state combined with thermodynamic relationships) and an empirical model were applied for calculating the Cv data, and the calculation average absolutely relative deviations (AARD) were 0.81%—3.66%, and less than 2.56%, respectively. The empirical model has a simpler form, while the prediction ability of PR model is powerful. These experimental Cv data and the developed two models are crucial for the implementation of CO2-EOR project.

Key words: carbon dioxide, hydrocarbon, binary mixtures, isochoric heat capacity, PR model, empirical model

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