AbstractIn this study, the RNG-Large Eddy Simulation (RNG-LES) methodology of a synthesis gas turbulent combustion in a round jet burner is investigated, using OpenFoam package. In this regard, the extended EDC extinction model of Aminian et al. for coupling the reaction and turbulent flow along with various reaction kinetics mechanisms such as Skeletal and GRI-MECH 3.0 have been utilized. To estimate precision and error accumulation, we used the Smirinov's method and the results are compared with the available experimental data under the same conditions. As a result, it was found that the GRI-3.0 reaction mechanism has the least computational error and therefore, was considered as a reference reaction mechanism. Afterwards, we investigated the influence of various working parameters including the inlet flow temperature and inlet velocity on the behavior of combustion. The results show that the maximum burner temperature and pollutant emission are affected by changing the inlet flow temperature and velocity.

    HighlightsThe GRI MECH-3 is an appropriate kinetic model for syngas combustion prediction.The mass fraction of CO and the maximum temperature increases and decreases, respectively, as the inlet velocity grows.The amounts of CO , H 2 , N 2 , O 2 mass fractions decrease up to 8% as the inlet temperature increases.The GRI MECH-3 is an appropriate kinetic model for syngas combustion prediction.The mass fraction of CO and the maximum temperature increases and decreases, respectively, as the inlet velocity grows.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Computational fluid dynamics analysis of a synthesis gas turbulent combustion in a round jet burner


    Beteiligte:

    Erschienen in:

    Acta Astronautica ; 134 ; 133-140


    Erscheinungsdatum :

    2017-01-29


    Format / Umfang :

    8 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch