Simulation numérique de reformeur autothermique de diesel

Abstract : Autothermal reformers use fuel-air oxidation to ensure production of hydrogen from fuel and water on-board. The use of diesel instead of better-known methan, permits the ships to be refuelled all around the world. These systems show strong sensitivity to carbon deposit which reduces their lifetime. Good knowledge of the fuel air mixing is thus required. Academic description of such tridimensional systems usually relies on the application of a RANS simulation coupled with gaseous chemical kinetics mechanism. These mechanisms can then consist on a few empirical reactions, or at the opposite, on quite large schemes, with more than 50 species derived automatically from big detailled schemes. The resulting description is then not enough precise, or at the opposite too computationally expensive to be used during design process. This thesis thus aims to develop an industrial compatible methodology to describe the impact of design geometry on pollutant formation. ANSYS software such as Fluent and Chemkin are then used to perform the simulation. An original method of limited size mechanism derivation from larger chemical scheme is proposed. It is succesfully applied to the generation of a partial oxidation mechanism of n-dodecane, from the results of diesel reforming chemical analysis. The resulting scheme is then applied on theliquid injection diesel autoreformer reactive simulation. Even if validation difficulties result from the lack of experimental data and limitations of the softwares, it remains the first simulation of this kind in the litterature, to our knowledge. Promising results are obtained.
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Thomas Epalle. Simulation numérique de reformeur autothermique de diesel. Génie des procédés. Université Paris-Saclay, 2019. Français. ⟨NNT : 2019SACLC033⟩. ⟨tel-02275969⟩

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