Luca Mazzotta , Roberto Meloni , Rachele Lamioni , Christian Romano , Chiara Galletti , Domenico Borello
{"title":"使用氢-氨和部分裂解氨燃料混合物的燃气轮机燃烧器中NOx排放的数值研究:一种结合LES和CRN的方法","authors":"Luca Mazzotta , Roberto Meloni , Rachele Lamioni , Christian Romano , Chiara Galletti , Domenico Borello","doi":"10.1016/j.applthermaleng.2025.127330","DOIUrl":null,"url":null,"abstract":"<div><div>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 NH<sub>3</sub>/H<sub>2</sub>/N<sub>2</sub> 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.</div></div>","PeriodicalId":8201,"journal":{"name":"Applied Thermal Engineering","volume":"278 ","pages":"Article 127330"},"PeriodicalIF":6.1000,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"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\",\"authors\":\"Luca Mazzotta , Roberto Meloni , Rachele Lamioni , Christian Romano , Chiara Galletti , Domenico Borello\",\"doi\":\"10.1016/j.applthermaleng.2025.127330\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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 NH<sub>3</sub>/H<sub>2</sub>/N<sub>2</sub> 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.</div></div>\",\"PeriodicalId\":8201,\"journal\":{\"name\":\"Applied Thermal Engineering\",\"volume\":\"278 \",\"pages\":\"Article 127330\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Thermal Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1359431125019222\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Thermal Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1359431125019222","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
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
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.
期刊介绍:
Applied Thermal Engineering disseminates novel research related to the design, development and demonstration of components, devices, equipment, technologies and systems involving thermal processes for the production, storage, utilization and conservation of energy, with a focus on engineering application.
The journal publishes high-quality and high-impact Original Research Articles, Review Articles, Short Communications and Letters to the Editor on cutting-edge innovations in research, and recent advances or issues of interest to the thermal engineering community.