Impact of Turbulence, Combustion, and Radiation Models on RANS-Based Simulation of Methane–Hydrogen Diffusion Flames.
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| Title: | Impact of Turbulence, Combustion, and Radiation Models on RANS-Based Simulation of Methane–Hydrogen Diffusion Flames. |
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| Authors: | Esmaeili, Mostafa1 (AUTHOR) m.esmaeili@khu.ac.ir |
| Source: | Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Nov2025, Vol. 50 Issue 22, p18877-18890. 14p. |
| Subjects: | Turbulence, Combustion engineering, Methane flames, Model validation, Heat radiation & absorption, Hydrogen as fuel, Emissions (Air pollution), Flow simulations |
| Abstract: | Hydrogen-enriched fuels are highlighted as a potential way to lower pollutant emissions due to the worldwide demand for cleaner fuels and improvements in combustion technology. In this work, methods for improving simulation accuracy for turbulent non-premixed jet diffusion flames powered by a methane–hydrogen combination are examined. Using Unsteady Reynolds-Averaged Navier–Stokes (URANS) equations, this research evaluates the roles of different turbulence models (Scale-Adaptive Simulation (SAS), K-ω-SST, K-ε-realizable, and RSM), radiation heat transfer, and combustion models in achieving greater agreement between numerical predictions and experimental results. The findings reveal that the SAS model aligns more closely with experimental data, particularly in the x/D < 60 region, while the K-ω-SST, K-ε-realizable, and RSM models overpredict temperatures by approximately 350 °C. The anticipated temperatures improve by 42 °C and the relative error decreases by 5% when radiation effects are taken into account. The flamelet model predicts species mass fractions more accurately than the equilibrium model when it comes to combustion modeling. This approach leads to significant reductions in the maximum relative errors, with the mass fraction of OH decreasing from 43 to 13%, CO from 36 to 9%, and CO2 from 46 to 19%. Our results emphasize the importance of the turbulence and combustion modeling approaches for accurately simulating hydrogen-enriched flames and advancing cleaner energy applications. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| Abstract: | Hydrogen-enriched fuels are highlighted as a potential way to lower pollutant emissions due to the worldwide demand for cleaner fuels and improvements in combustion technology. In this work, methods for improving simulation accuracy for turbulent non-premixed jet diffusion flames powered by a methane–hydrogen combination are examined. Using Unsteady Reynolds-Averaged Navier–Stokes (URANS) equations, this research evaluates the roles of different turbulence models (Scale-Adaptive Simulation (SAS), K-ω-SST, K-ε-realizable, and RSM), radiation heat transfer, and combustion models in achieving greater agreement between numerical predictions and experimental results. The findings reveal that the SAS model aligns more closely with experimental data, particularly in the x/D < 60 region, while the K-ω-SST, K-ε-realizable, and RSM models overpredict temperatures by approximately 350 °C. The anticipated temperatures improve by 42 °C and the relative error decreases by 5% when radiation effects are taken into account. The flamelet model predicts species mass fractions more accurately than the equilibrium model when it comes to combustion modeling. This approach leads to significant reductions in the maximum relative errors, with the mass fraction of OH decreasing from 43 to 13%, CO from 36 to 9%, and CO2 from 46 to 19%. Our results emphasize the importance of the turbulence and combustion modeling approaches for accurately simulating hydrogen-enriched flames and advancing cleaner energy applications. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 2193567X |
| DOI: | 10.1007/s13369-025-09968-0 |
