001052316 001__ 1052316
001052316 005__ 20260123203314.0
001052316 0247_ $$2doi$$a10.1115/GT2025-152452
001052316 0247_ $$2datacite_doi$$a10.34734/FZJ-2026-00924
001052316 037__ $$aFZJ-2026-00924
001052316 1001_ $$0P:(DE-HGF)0$$aSchuh, Vinzenz$$b0$$eCorresponding author
001052316 1112_ $$aASME Turbo Expo 2025: Turbomachinery Technical Conference and Exposition$$cMemphis, Tennessee$$d2025-06-16 - 2025-06-20$$wUSA
001052316 245__ $$aAn Extended Artificially Thickened Flame Model for Turbulent Hydrogen and Hydrogen-Enriched Flames With Intrinsic Instabilities Under Gas Turbine Relevant Conditions
001052316 260__ $$bAmerican Society of Mechanical Engineers$$c2025
001052316 29510 $$aVolume 3A: Combustion, Fuels & Emissions : [Proceedings]
001052316 300__ $$a11 p.
001052316 3367_ $$2ORCID$$aCONFERENCE_PAPER
001052316 3367_ $$033$$2EndNote$$aConference Paper
001052316 3367_ $$2BibTeX$$aINPROCEEDINGS
001052316 3367_ $$2DRIVER$$aconferenceObject
001052316 3367_ $$2DataCite$$aOutput Types/Conference Paper
001052316 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1769152881_6456
001052316 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
001052316 520__ $$aHydrogen and hydrogen-blends with ammonia or natural gas are cornerstones in the transition to future environmentally friendly energy systems, such as gas turbines and aero-engines. However, hydrogen’s unique characteristics lead to intrinsic flame instabilities, resulting in an up to sixfold increase in turbulent flame speeds under gas turbine-relevant conditions compared to flames without instabilities. These effects are not captured by current combustion models, presenting a major barrier for Computational Fluid Dynamic simulations. This study addresses these limitations by developing an extension to the widely used Artificially Thickened Flame (ATF) model, validating it for wide operating conditions and applying it to turbulent configurations. To this extent, over 200 direct numerical simulations (DNS) of laminar planar flames are analyzed, unraveling the characteristics of the enhanced flame speed. The subsequently developed model is validated across comprehensive variations in pressure (1 atm–20 atm), temperature (300 K–700 K), equivalence ratios ($Φ = 0.4–1.0$), and fuel compositions (pure $H_2$, pre-cracked ammonia ($NH_3$/$H_2$/$N_2$) and hydrogen natural gas blends ($CH_4$/$H_2$)) to ensure the model’s applicability for technically relevant operating conditions. Additionally, the model is transferred to turbulent conditions using Large Eddy Simulations. For model validation, multiple high-fidelity DNS of turbulent jet flames at various conditions are performed. The advanced model shows excellent agreement in a laminar configuration and significant improvements in predicting turbulent flame speeds of the turbulent jet flames compared to the state-of-the-art model. By enhancing the widely used ATF model to account for hydrogen characteristics, this study supports the further development of efficient and environmentally friendly hydrogen-powered energy systems.
001052316 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001052316 536__ $$0G:(EU-Grant)101118139$$aInno4Scale - Innovative Algorithms for Applications on European Exascale Supercomputers (101118139)$$c101118139$$fHORIZON-EUROHPC-JU-2022-ALG-02$$x1
001052316 588__ $$aDataset connected to CrossRef Conference
001052316 7001_ $$0P:(DE-HGF)0$$aKaddar, Driss$$b1
001052316 7001_ $$0P:(DE-HGF)0$$aBähr, Antonia$$b2
001052316 7001_ $$0P:(DE-Juel1)192255$$aBode, Mathis$$b3$$ufzj
001052316 7001_ $$0P:(DE-HGF)0$$aHasse, Christian$$b4
001052316 7001_ $$0P:(DE-HGF)0$$aNicolai, Hendrik$$b5
001052316 770__ $$z978-0-7918-8878-0
001052316 773__ $$a10.1115/GT2025-152452
001052316 8564_ $$uhttps://juser.fz-juelich.de/record/1052316/files/v03at04a028-gt2025-152452.pdf$$yOpenAccess
001052316 909CO $$ooai:juser.fz-juelich.de:1052316$$popenaire$$popen_access$$pdriver$$pVDB$$pec_fundedresources$$pdnbdelivery
001052316 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)192255$$aForschungszentrum Jülich$$b3$$kFZJ
001052316 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
001052316 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001052316 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
001052316 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
001052316 980__ $$acontrib
001052316 980__ $$aVDB
001052316 980__ $$aUNRESTRICTED
001052316 980__ $$acontb
001052316 980__ $$aI:(DE-Juel1)JSC-20090406
001052316 9801_ $$aFullTexts