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.
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.