The increasing interest in ammonia as a carbon-free fuel alternative underscores the need for accurate numerical models capable of predicting the complex combustion chemistry and associated NOx emissions. This study presents a detailed numerical investigation of NOx emissions in a gas turbine burner operating with hydrogen-ammonia and cracked ammonia fuel blends, utilizing Large Eddy Simulation (LES) and Chemical Reactor Network (CRN) methodologies. The primary objective is to validate a Computational Fluid Dynamics (CFD) model against experimental data collected under atmospheric conditions. The experimental campaign involved a non-premixed burner with ammonia concentrations up to 70%, generating a NOx emission database useful for model validation. LES were performed using a tabulated chemistry model, using a detailed chemical kinetic scheme alongside additional transport equations for the main species responsible for the formation of pollutants, to better capture the combustion characteristics and emissions. Furthermore, a CRN model was developed based on time-averaged LES data. This approach facilitated a more detailed and wide examination of NOx formation mechanisms and pathways. The results indicate that both LES and CRN models predict NOx emissions with an accuracy within 10% of experimental measurements, although LES slightly underestimates NOx levels and overestimates outlet temperatures by 3%. The CRN model, derived from LES data, offers a computationally efficient means for analyzing key emission pathways. Furthermore, a comparison was conducted between the combustion characteristics of the hydrogen-ammonia blend and a mixture resulting from an 80% ammonia cracking process. This was achieved through the utilization of both LES and CFD-CRN methodologies, with the objective of analyzing the impact of cracking on NOx emissions, while maintaining a constant burner power and equivalence ratio. In conclusion, the study demonstrates the effectiveness of combining LES and CRN methodologies in predicting NOx emissions and analyzing NO formation pathways from NH3/H2/N2 combustion. The utilization of a cracked-derived mixture resulted in a 25% reduction in NOx emissions. The findings provide valuable insights for optimizing gas turbine operation while addressing NOx emission concerns, contributing to the development of cleaner combustion technologies.

Numerical Investigation of NOx emissions in a gas turbine burner using hydrogen-ammonia and partially cracked ammonia fuel blends: A combined LES and CRN approach

Roberto Meloni;Rachele Lamioni
;
Christian Romano;Chiara Galletti;Domenico Borello
2025-01-01

Abstract

The increasing interest in ammonia as a carbon-free fuel alternative underscores the need for accurate numerical models capable of predicting the complex combustion chemistry and associated NOx emissions. This study presents a detailed numerical investigation of NOx emissions in a gas turbine burner operating with hydrogen-ammonia and cracked ammonia fuel blends, utilizing Large Eddy Simulation (LES) and Chemical Reactor Network (CRN) methodologies. The primary objective is to validate a Computational Fluid Dynamics (CFD) model against experimental data collected under atmospheric conditions. The experimental campaign involved a non-premixed burner with ammonia concentrations up to 70%, generating a NOx emission database useful for model validation. LES were performed using a tabulated chemistry model, using a detailed chemical kinetic scheme alongside additional transport equations for the main species responsible for the formation of pollutants, to better capture the combustion characteristics and emissions. Furthermore, a CRN model was developed based on time-averaged LES data. This approach facilitated a more detailed and wide examination of NOx formation mechanisms and pathways. The results indicate that both LES and CRN models predict NOx emissions with an accuracy within 10% of experimental measurements, although LES slightly underestimates NOx levels and overestimates outlet temperatures by 3%. The CRN model, derived from LES data, offers a computationally efficient means for analyzing key emission pathways. Furthermore, a comparison was conducted between the combustion characteristics of the hydrogen-ammonia blend and a mixture resulting from an 80% ammonia cracking process. This was achieved through the utilization of both LES and CFD-CRN methodologies, with the objective of analyzing the impact of cracking on NOx emissions, while maintaining a constant burner power and equivalence ratio. In conclusion, the study demonstrates the effectiveness of combining LES and CRN methodologies in predicting NOx emissions and analyzing NO formation pathways from NH3/H2/N2 combustion. The utilization of a cracked-derived mixture resulted in a 25% reduction in NOx emissions. The findings provide valuable insights for optimizing gas turbine operation while addressing NOx emission concerns, contributing to the development of cleaner combustion technologies.
2025
Mazzotta, Luca; Meloni, Roberto; Lamioni, Rachele; Romano, Christian; Galletti, Chiara; Borello, Domenico
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1323707
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