A Comprehensive Evaluation of the Applicability of Pure Hydrogen Density Models to Predict Binary Hydrogen Mixtures-Current Gaps and Future Direction

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🔬研究者:Provides validation benchmarks for hydrogen density models and identifies conditions for acceptable predictions.

🏢実務担当者:Offers guidance on when to use simple hydrogen density models for mixture calculations in transport and storage.

As the energy transition progresses, hydrogen is attracting multiple industries due to its versatility as an energy carrier. Its ability to efficiently store, transport, and deliver energy generated by other resources supports decarbonization. Thus, accurate predictions of hydrogen density are vital for estimating its transportation efficiency and storage capacity. This study aims to evaluate the applicability and reliability of existing pure hydrogen (H2) density models for common binary hydrogen mixtures. An extensive database of more than 4,700 points from 40 studies covering a wide range of conditions for binary hydrogen systems was compiled and analyzed. Subsequently, the predictive performance of existing models using critical pressure, critical temperature, and molecular weight as inputs was assessed using statistical error analysis and compared with predictions from the SRK, PR, and GERG-2008 Equations of State (EOS). This analysis identified conditions under which simplified pure-hydrogen models yield acceptable predictions and guided future improvements in their predictive capability. The results show that using the pseudocritical properties of hydrogen binary systems as inputs to pure hydrogen density models yields acceptable density predictions within specified temperature, pressure, and compositional ranges. For example, for binary mixtures like H2–N2 and H2–CO, the pure hydrogen density models produced density estimates that matched those from established EOSs. However, the accuracy declined significantly for mixtures with low hydrogen mole fractions, especially those below 40%. Furthermore, the pure hydrogen density models generally performed better at moderate pressures and temperatures, particularly when conditions matched the original validation ranges of the pure H2 models. Although the GERG-2008 model consistently provided the most accurate results across all conditions, its complexity and computational requirements limit its broader industrial applicability. Hence, although the pure H2 density models offer a practical and computationally efficient alternative, they should be applied with caution and strictly within their validated operational limits. Overall, this study provides insights into the applicability of simple pure-hydrogen models for predicting binary hydrogen mixtures relevant to various energytransition applications. It defines the conditions under which such models yield acceptable estimates and the limits of their applicability. Thus, a simple and practical method for estimating hydrogen mixture density is available to any industry, particularly when complex models are not accessible.

• semanticscholar https://doi.org/10.2118/232658-msfirst seen 2026-06-10 05:25:53