Abstract Hydrogen is an important energy source due to its renewability, high energy density per unit mass, and clean combustion. Accurate prediction of transport properties (i.e., viscosity, thermal conductivity, and self-diffusion coefficient) of hydrogen plays a crucial role in the design, operation, and optimization of various hydrogen-based industrial systems. In this study, we combine the entropy scaling theory with the volume-translated cubic equations of state (i.e., volume-translated Soave-Redlich-Kwong equation of state and volume-translated Peng-Robinson equation of state) proposed in our previous study, leading to the development of entropy-scaling-based transport property models. Compared to the conventional models, these improved models are capable of more accurately predicting the transport properties of hydrogen at pressures from triple-point pressure (i.e., 0.01 MPa) to 300 MPa and temperatures from critical temperature (i.e., 33.15 K) to 600 K. More specifically, the new models coupled with the volume-translated Soave-Redlich-Kwong equation of state (i.e., VT-SRK EOS) yield %AADs of 3.09, 5.03, and 3.19 in predicting viscosity, thermal conductivity, and self-diffusion coefficient, respectively. The proposed models coupled with the volume-translated Peng-Robinson equation of state (i.e., VT-PR EOS) also perform well in predicting these three transport properties, with %AADs of 2.96, 4.94, and 2.43, respectively. It is also worthwhile mentioning that the VT-SRK EOS and VT-PR EOS can completely reproduce the critical volume of hydrogen.
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Changxu Wu
Huazhou Li
University of Alberta
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Wu et al. (Sun,) studied this question.
www.synapsesocial.com/papers/68af50acad7bf08b1ead9265 — DOI: https://doi.org/10.1115/omae2025-157556