Densities and Viscosities of Carbon Dioxide and Hydrogen Binary Systems: Experimental and Modeling

IF 2 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY
Friday Junior Owuna, Antonin Chapoy*, Pezhman Ahmadi and Rod Burgass, 
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引用次数: 0

Abstract

Density and viscosity data for CO2 + H2 systems are needed for optimum safe and efficient design of carbon capture and storage (CCS) processes, transport, and underground storage of hydrogen gas. A densimeter was used to measure the densities of the CO2 + H2 systems from 278 to 348 K and up to 55 MPa. The measured densities were compared against the predictions of the Multi-Fluid Helmholtz Energy Approximation (MFHEA) and the Peng-Robinson (PR) equations of states. Overall, MFHEA and PR are applicable for predicting the densities of the CO2 + H2 systems within the experimental uncertainty. Also, a capillary tube viscometer was used to measure the viscosities of CO2 + H2 binary systems from 273.62 to 323.37 K and up to 29 MPa. The measured viscosities were compared against the predictions of the Lennard-Jones (LJ), SUPERTRAPP (ST), residual entropy viscosity (SRES), and Pedersen models. Generally, it was observed that SRES, LJ, Pedersen, and ST are adequate in evaluating the measured viscosity of CO2-rich systems, while for the H2-rich systems, the LJ model showed relative weakness. Density and viscosity data, and models, considered at the gas, liquid, and supercritical regions are critical for optimizing CCS strategies and other hydrogen management processes.

二氧化碳和氢二元系统的密度和粘度:实验和模拟
CO2 + H2系统的密度和粘度数据需要用于优化安全高效的碳捕集与封存(CCS)过程、运输和氢气地下储存的设计。用密度计测量了278 ~ 348 K、55 MPa范围内CO2 + H2体系的密度。将测量密度与多流体亥姆霍兹能量近似(MFHEA)和Peng-Robinson状态方程的预测进行了比较。总的来说,MFHEA和PR在实验不确定度范围内适用于预测CO2 + H2体系的密度。用毛细管粘度计测定了273.62 ~ 323.37 K、29 MPa范围内CO2 + H2二元体系的粘度。将测量的粘度与Lennard-Jones (LJ)、SUPERTRAPP (ST)、剩余熵粘度(SRES)和Pedersen模型的预测结果进行比较。总的来说,我们观察到SRES、LJ、Pedersen和ST在评估富co2体系的测量粘度方面是足够的,而对于富h2体系,LJ模型表现出相对的弱点。在气体、液体和超临界区域考虑的密度和粘度数据和模型对于优化CCS策略和其他氢气管理过程至关重要。
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来源期刊
Journal of Chemical & Engineering Data
Journal of Chemical & Engineering Data 工程技术-工程:化工
CiteScore
5.20
自引率
19.20%
发文量
324
审稿时长
2.2 months
期刊介绍: The Journal of Chemical & Engineering Data is a monthly journal devoted to the publication of data obtained from both experiment and computation, which are viewed as complementary. It is the only American Chemical Society journal primarily concerned with articles containing data on the phase behavior and the physical, thermodynamic, and transport properties of well-defined materials, including complex mixtures of known compositions. While environmental and biological samples are of interest, their compositions must be known and reproducible. As a result, adsorption on natural product materials does not generally fit within the scope of Journal of Chemical & Engineering Data.
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