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<p>This study employs a new SATES (Self-Adaptive Turbulence Eddy Simulation)-FGM (Flamelet Generated Manifold)-CRN (Chemical Reactor Network) coupling method to numerically predict the combustion pollutions of CO and NO<sub><i>x</i></sub> together in a methane/air turbulent diffusion flame (Sandia Flame D). Two SATES models are developed based on the underlying realizable <i>k</i>-<i>ε</i> and BSL <i>k</i>-<i>ω</i> turbulence models. The prediction accuracy of the combustion field and the CO pollutant distribution are compared and analyzed by coupling two SATES models and two RANS (Reynolds-Averaged Navier-Stokes) models with FGM combustion model. Furthermore, CRN is utilized to construct the NO<sub><i>x</i></sub> distribution characteristics for different scales and rules using the unsteady high-fidelity combustion field results obtained from SATES-FGM. The results demonstrate that SATES-FGM can accurately predict the turbulent diffusion flame and improve the sensitivity of different RANS models to flow patterns in the framework of the SATES method. However, the results show a large deviation in predicting the main combustion zone. The SATES-FGM method can efficiently and accurately simulate flow fields of the free-jet turbulent flame. Additionally, it performs well in predicting the pollution products associated with combustion process, such as CO, while the SATES-CRN coupling method can accurately predict the post-combustion pollutants like NO<sub><i>x</i></sub>. The number of CRN zones can be adjusted to fit the combustor. Excessive reaction zones not only reduce the efficiency but also result in a deviation in the NO<sub><i>x</i></sub> prediction. The unsteady SATES-CRN coupling method is better suited for complex partitioning rules. The developed SATES-FGM-CRN method can offer a new and efficient approach to simultaneously predict the distributions of CO and NO<sub><i>x</i></sub> pollutions.</p>

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Numerical Prediction of CO and NOx Combustion Pollutants Based on the Coupled SATES-FGM-CRN Method

  • 期刊论文

  • 发表日期：

    2025年5月2日

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  • Tao Chen,
  • Rui Zhu,
  • Xingsi Han

摘要

This study employs a new SATES (Self-Adaptive Turbulence Eddy Simulation)-FGM (Flamelet Generated Manifold)-CRN (Chemical Reactor Network) coupling method to numerically predict the combustion pollutions of CO and NOx together in a methane/air turbulent diffusion flame (Sandia Flame D). Two SATES models are developed based on the underlying realizable k-ε and BSL k-ω turbulence models. The prediction accuracy of the combustion field and the CO pollutant distribution are compared and analyzed by coupling two SATES models and two RANS (Reynolds-Averaged Navier-Stokes) models with FGM combustion model. Furthermore, CRN is utilized to construct the NOx distribution characteristics for different scales and rules using the unsteady high-fidelity combustion field results obtained from SATES-FGM. The results demonstrate that SATES-FGM can accurately predict the turbulent diffusion flame and improve the sensitivity of different RANS models to flow patterns in the framework of the SATES method. However, the results show a large deviation in predicting the main combustion zone. The SATES-FGM method can efficiently and accurately simulate flow fields of the free-jet turbulent flame. Additionally, it performs well in predicting the pollution products associated with combustion process, such as CO, while the SATES-CRN coupling method can accurately predict the post-combustion pollutants like NOx. The number of CRN zones can be adjusted to fit the combustor. Excessive reaction zones not only reduce the efficiency but also result in a deviation in the NOx prediction. The unsteady SATES-CRN coupling method is better suited for complex partitioning rules. The developed SATES-FGM-CRN method can offer a new and efficient approach to simultaneously predict the distributions of CO and NOx pollutions.