Throughout the hydrogen value chain, industries increasingly rely on digital tools utilizing equations of state to develop safer, more efficient, and cost-effective processes. This paper compares the Peng-Robinson equation of state with volume translation (tc-PR EoS) and the Coquelet-El Abbadi-Houriez equation of state (CAH EoS), modified with the Feymann-Hibbs correction to the covolume, to account for the quantum swelling phenomenon. The models were used to predict density, residual enthalpy, and Joule-Thomson coefficients over a temperature range of 20-353 K. It has been applied to binary mixtures relevant to the hydrogen industry, including H2/CO2, H2/CO, H2/CH4, and H2/N2. Model parameters were fitted to liquid-vapor equilibrium (VLE) data using the generalized Wong-Sandler (g-WS) and van der Waals (vdW) classical mixing rules. The performance of the models in representing VLE data and densities over a wide range of thermodynamic conditions was assessed. These models can help design processes for hydrogen production, transport and use.
机构:
School of Science, Beijing University of Civil Engineering and ArchitectureSchool of Science, Beijing University of Civil Engineering and Architecture
Dong Gao
Hui Ma
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机构:
Department of Mathematical Sciences, Tsinghua UniversitySchool of Science, Beijing University of Civil Engineering and Architecture
Hui Ma
Zeke Yao
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机构:
Department of Mathematical Sciences, Tsinghua UniversitySchool of Science, Beijing University of Civil Engineering and Architecture