TY - JOUR
T1 - Vapour-liquid equilibrium data for the carbon dioxide (CO2) + carbon monoxide (CO) system
AU - Chapoy, Antonin
AU - Ahmadi, Pezhman
AU - de Oliveira Cavalcanti Filho, Valderio
AU - Jadhawar, Prashant
N1 - Acknowledgements
This work was part of an ongoing Joint Industrial Project (JIP) conducted jointly at the Institute of Petroleum Engineering, Heriot-Watt University and the CTP laboratory of MINES ParisTech between 2011-2014. The JIP was supported by Chevron, GALP Energia, Linde AG, National Grid OMV, Petroleum Experts (PETEX), Statoil and TOTAL, which is gratefully acknowledged. The authors would also like to thank the members of the steering committee for their fruitful comments and discussions.
Valderio de O. Cavalcanti Filho acknowledges the financial support from Petrobras through his PhD grant.
PY - 2020/11/1
Y1 - 2020/11/1
N2 - In carbon capture, utilization and storage (CCUS), a thorough understanding of thermophysical behaviour of the candidate fluid is an essential requirement for accurate design and optimised operation of the processes. In this communication, vapour liquid equilibrium data (VLE) of the binary mixtures of CO+CO2 are presented. A static-analytic method was used to obtain VLE data at six isotherms (253.15, 261.45, 273.00, 283.05, 293.05, 298.15) K and pressures up to 12 MPa. The standard uncertainties of the measured temperature and pressure were estimated to be 0.1 K, 0.005 MPa, respectively. Also, the standard uncertainty of the measured molar composition of each phase is found to be less than 1.1%. The measured experimental results are then compared with some predictive thermodynamic equations of state (EoS) (i.e. the Peng Robinson (PR-78) with classical or Wong-Sandler mixing rules, the GERG, and EoS-CG without an with a specific departure function) and available data in the literature. A sound agreement is observed between the results of this work and some of the VLE data published in the open literature. Furthermore, for all isotherms, the best agreement is observed between experimental results and predicted VLE data from the PR-EoS with the Wong-Sandler mixing rules and the EoS-CG with a specific departure function. However, a significant deviation is found between measured results and VLE data calculated using the GERG-EoS.
AB - In carbon capture, utilization and storage (CCUS), a thorough understanding of thermophysical behaviour of the candidate fluid is an essential requirement for accurate design and optimised operation of the processes. In this communication, vapour liquid equilibrium data (VLE) of the binary mixtures of CO+CO2 are presented. A static-analytic method was used to obtain VLE data at six isotherms (253.15, 261.45, 273.00, 283.05, 293.05, 298.15) K and pressures up to 12 MPa. The standard uncertainties of the measured temperature and pressure were estimated to be 0.1 K, 0.005 MPa, respectively. Also, the standard uncertainty of the measured molar composition of each phase is found to be less than 1.1%. The measured experimental results are then compared with some predictive thermodynamic equations of state (EoS) (i.e. the Peng Robinson (PR-78) with classical or Wong-Sandler mixing rules, the GERG, and EoS-CG without an with a specific departure function) and available data in the literature. A sound agreement is observed between the results of this work and some of the VLE data published in the open literature. Furthermore, for all isotherms, the best agreement is observed between experimental results and predicted VLE data from the PR-EoS with the Wong-Sandler mixing rules and the EoS-CG with a specific departure function. However, a significant deviation is found between measured results and VLE data calculated using the GERG-EoS.
KW - VLE data
KW - Carbon Monoxide
KW - Carbon Dioxide
UR - http://www.scopus.com/inward/record.url?scp=85086134610&partnerID=8YFLogxK
U2 - 10.1016/j.jct.2020.106180
DO - 10.1016/j.jct.2020.106180
M3 - Article
VL - 150
JO - The Journal of Chemical Thermodynamics
JF - The Journal of Chemical Thermodynamics
SN - 0021-9614
M1 - 106180
ER -