Lean premixed hydrogen flames are characterized by sub-unity mixture Lewis number, which causes the formation of intrinsic instabilities, driven by hydrodynamic and thermo-diffusive mechanisms that interact leading to complex corrugations of the flame front. In this contribution, an approach for lean premixed hydrogen combustion modelling is presented, based on a two-scalar manifold representation of the thermochemistry. The framework is based on a data-driven filtered tabulated chemistry approach, where a fully resolved, two-dimensional, unstable, self-wrinkling simulation is used as a source for the filtering procedure. The method is validated a-priori and a-posteriori against a two-dimensional DNS multi-step chemistry hydrogen/air dataset, consisting of statistically planar, premixed, laminar flames in rectangular computational domains periodic in the cross-wise direction.

Towards lean premixed hydrogen combustion modelling using a data-driven approach / Remiddi, A.; Indelicato, G.; Lapenna, P. E.; Al Kassar, S.; Attili, A.; Berger, L.; Pitsch, H.; Creta, F.. - (2023). (Intervento presentato al convegno 11th European Combustion Meeting tenutosi a Rouen).

Towards lean premixed hydrogen combustion modelling using a data-driven approach

A. Remiddi;G. Indelicato;P. E. Lapenna;F. Creta
2023

Abstract

Lean premixed hydrogen flames are characterized by sub-unity mixture Lewis number, which causes the formation of intrinsic instabilities, driven by hydrodynamic and thermo-diffusive mechanisms that interact leading to complex corrugations of the flame front. In this contribution, an approach for lean premixed hydrogen combustion modelling is presented, based on a two-scalar manifold representation of the thermochemistry. The framework is based on a data-driven filtered tabulated chemistry approach, where a fully resolved, two-dimensional, unstable, self-wrinkling simulation is used as a source for the filtering procedure. The method is validated a-priori and a-posteriori against a two-dimensional DNS multi-step chemistry hydrogen/air dataset, consisting of statistically planar, premixed, laminar flames in rectangular computational domains periodic in the cross-wise direction.
2023
11th European Combustion Meeting
Hydrogen, Premixed combustion, Thermodiffusive instabilities, Sub-filter modelling, Data-driven
04 Pubblicazione in atti di convegno::04c Atto di convegno in rivista
Towards lean premixed hydrogen combustion modelling using a data-driven approach / Remiddi, A.; Indelicato, G.; Lapenna, P. E.; Al Kassar, S.; Attili, A.; Berger, L.; Pitsch, H.; Creta, F.. - (2023). (Intervento presentato al convegno 11th European Combustion Meeting tenutosi a Rouen).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1682769
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