Scholarlink

<p>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 &lt; 60 region, while the K-ω-SST, K-ε-realizable, and RSM models overpredict temperatures by approximately 350&#xa0;°C. The anticipated temperatures improve by 42&#xa0;°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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Impact of Turbulence, Combustion, and Radiation Models on RANS-Based Simulation of Methane–Hydrogen Diffusion Flames

  • 期刊论文

  • 发表日期：

    2025年1月16日

查看全文
  • Mostafa Esmaeili

摘要

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.