Modeling interactions between chemistry and turbulence for simulations of partial oxidation processes
| Autor: | Jean Caudal, Olivier Gicquel, Benoit Fiorina, Bernard Labegorre |
|---|---|
| Přispěvatelé: | Laboratoire d'Énergétique Moléculaire et Macroscopique, Combustion (EM2C), Université Paris Saclay (COmUE)-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec, Centre de Recherche Claude Delorme [Jouy-en-Josas] (CRCD), Air Liquide [Siège Social] |
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Methane reformer
Hydrogen Chemistry Turbulence General Chemical Engineering [SPI.FLUID]Engineering Sciences [physics]/Reactive fluid environment Energy Engineering and Power Technology chemistry.chemical_element Probability density function Mechanics 7. Clean energy Methane chemistry.chemical_compound Fuel Technology 13. Climate action Partial oxidation Reynolds-averaged Navier–Stokes equations Syngas |
| Zdroj: | Fuel Processing Technology Fuel Processing Technology, Elsevier, 2015, 134, pp.231-242. ⟨10.1016/j.fuproc.2015.01.040⟩ |
| ISSN: | 0378-3820 1873-7188 |
| Popis: | International audience; Methane Autothermal Reforming (ATR) and non-catalytic partial oxidation (POX) are two industrial processes used to produce syngas, a mixture of hydrogen and carbon monoxide. In those reactors, methane is burnt with oxygen in fuel-rich conditions. Downstream of the flame, the gaseous combustion products further react with steam and remaining methane in the turbulent "post-flame" region. In order to perform Reynolds Average Navier–Stokes (RANS) simulations of the reactor, accurate modeling strategies are required to compute the average chemical source terms in this post-flame region. In the present study, a DNS numerical experiment has been performed to reproduce the properties of the flow in this part of the reactor. Results are used as a reference to a priori assess the performances of different modeling strategies derived from three turbulent combustion models. The results of this analysis show that, among the three selected models, only the two models based on tabulated chemistry description are able to properly recover the right values of the average chemical source term. The PCM-FPI approach, based on a one-point statistic description using a Beta density probability function, appears as the most accurate approach compared to the two others. |
| Databáze: | OpenAIRE |
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