Abstract
Under the dual-carbon strategy, green hydrogen as a zero-carbon fuel is rapidly expanding in engineering applications. However, the absence of gas radiation models specifically validated under high H2O mole fraction, pure H2 combustion conditions compromises the accuracy of radiation calculations in hydrogen-fueled thermal systems. To bridge this gap, 43,680 line-by-line calculations spanning the full operating space were performed using the HITEMP2010 database. These calculations systematically quantify the effects of temperature, total pressure, radiation path length, and H2O mole fraction on the emissivity of pure hydrogen combustion gases. Based on this high-fidelity benchmark dataset, a novel four-gray-gas weighted-sum-of-gray-gases model (WSGGM) applicable at 1 atm was developed using the Levenberg–Marquardt algorithm, covering 500–3000 K, 0.01–60 m, and 1–100% H2O mole fraction. The results establish the following influence hierarchy: radiation path length > temperature > H2O mole fraction > total pressure. Radiation path length dominates across all temperatures. Emissivity exhibits three-stage saturation growth with increasing radiation path length, with 56.1% of the total increment occurring within the first 5 m at 500 K. At a radiation path length of 10 m and 30% H2O mole fraction, emissivity decreases monotonically with temperature, dropping by 80.7% from 500 to 3000 K (1 atm). Emissivity is most sensitive to H2O mole fractions below 0.1, whereas pressure exerts the weakest influence, with its effect saturating above 10 atm. The WSGGM fits total emissivity with excellent accuracy (R2 = 0.999820, MAE = 0.002153) and is directly implementable in mainstream CFD software, providing a ready-to-use radiation model for high-fidelity simulation and design of hydrogen-fueled thermal systems.
| Original language | English |
|---|---|
| Article number | 3337 |
| Journal | Energies |
| Volume | 19 |
| Issue number | 14 |
| DOIs | |
| State | Published - Jul 2026 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- gas emissivity
- hydrogen combustion
- line-by-line method
- weighted-sum-of-gray-gases model
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