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Accurate experimental ($p$, $\rho$, $T$) data of the ($CO_{2}$ + $O_{2}$) binary system for the development of models for CCS processes

Authors :
Lozano-Martín, Daniel
Akubue, Gerald U.
Moreau, Alejandro
Tuma, Dirk
Chamorro, César R.
Source :
The Journal of Chemical Thermodynamics Volume 150, 2020, 106210
Publication Year :
2024

Abstract

The limited availability of accurate experimental data in wide ranges of pressure, temperature, and composition is the main constraining factor for the proper development and assessment of thermodynamic models and equations of state. In the particular case of carbon capture and storage (CCS) processes, there is a clear need for data sets related to the (carbon dioxide + oxygen) mixtures that this work aims to address. This work provides new experimental ($p$, $\rho$, $T$) data for three binary ($CO_{2}$ + $O_{2}$) mixtures with mole fractions of oxygen $x$($O_{2}$) = (0.05, 0.10, and 0.20) mol/mol, in the temperature range $T$ = (250 to 375) K and pressure range $p$ = (0.5 to 13) MPa. The measurements were performed with a high-precision single-sinker densimeter with magnetic suspension coupling. The density data were obtained with estimated expanded relative uncertainties of 0.02% for the highest densities and up to 0.3% for the lowest ones.The results were compared to the corresponding results calculated by the current reference equations of state for this kind of mixtures, namely the EOS-CG (combustion gases) and the GERG-2008 equation of state, respectively. The EOS-CG yields better estimations in density than the GERG-2008 equation of state. The results from the EOS-GC model show no systematic temperature dependence. For the GERG-2008 model, however, this criterion is significantly less fulfilled.<br />Comment: arXiv admin note: substantial text overlap with arXiv:2409.06312

Subjects

Subjects :
Physics - Chemical Physics

Details

Database :
arXiv
Journal :
The Journal of Chemical Thermodynamics Volume 150, 2020, 106210
Publication Type :
Report
Accession number :
edsarx.2409.17164
Document Type :
Working Paper
Full Text :
https://doi.org/10.1016/j.jct.2020.106210