Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

EOS-CG-2021: A Mixture Model for the Calculation of Thermodynamic Properties of CCS Mixtures

Published

Author(s)

Tobias Neumann, Stefan Herrig, Ian Bell, Robin Beckmüller, Eric W. Lemmon, Monika Thol, Roland Span

Abstract

Thermodynamic properties for CCS-relevant mixtures can be calculated with the fundamental equation of state presented in this work over wide ranges of pressure, temperature, and composition for gas, liquid, and supercritical states, as well as phase equilibria states. The mixture model is formulated in terms of the Helmholtz energy and is based on the EOS-CG of Gernert and Span (2016). The new model presented here (EOS-CG-2021) is an update and extension of the previous version, and is composed of the following sixteen components: carbon dioxide, water, nitrogen, oxygen, argon, carbon monoxide, hydrogen, methane, hydrogen sulfide, sulfur dioxide, monoethanolamine, diethanolamine, hydrogen chloride, chlorine, ammonia, and methyl diethanolamine. Currently available EOS-CG models are summarized and the new model is validated and analyzed with the use of comparisons to experimental data as well as the physical and extrapolation behavior of the equations. A comprehensive study on the representation of multicomponent mixture data was carried out to show the high accuracy and application range of the EOS-CG-2021.
Citation
International Journal of Thermophysics
Volume
44

Citation

Neumann, T. , Herrig, S. , Bell, I. , Beckmüller, R. , Lemmon, E. , Thol, M. and Span, R. (2023), EOS-CG-2021: A Mixture Model for the Calculation of Thermodynamic Properties of CCS Mixtures, International Journal of Thermophysics, [online], https://doi.org/10.1007/s10765-023-03263-6, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936541 (Accessed April 27, 2024)
Created November 16, 2023, Updated December 1, 2023