Low-Order Autoignition Modeling for Hydrogen Transverse Jets


Type
Article
Change log
Abstract

jats:p This paper presents a method for evaluating the risk of autoignition for the canonical problem of an enclosed hydrogen jet in crossflow (JICF), which is highly relevant to the design of mixing ducts. The proposed method is based on the separation of the underlying mixing pattern from the evolution of the chemical reactions, whereas the effect of mixing is maintained on the latter with the purpose of creating a reliable yet computationally efficient design tool for hydrogen gas turbines. Two variants of the incompletely stirred reactor network (ISRN) approach are proposed that provide the evolution of preignition radicals and autoignition kernel location, leveraging a nonreacting computational fluid dynamics solution or an analytical mixing pattern. The ISRN governing equations include all the salient features of hydrogen transport and lead to a conservative estimate of autoignition risk. Application to a few model problems with varied operating conditions suggests that radical buildup in the JICF can lead to autoignition in the vicinity of a most reactive mixture fraction, which is consistent with other laminar or turbulent hydrogen flows. However, the radical formation and autoignition kernel location strongly depend on the prediction of the underlying mixing field and the amount of differential diffusion within the JICF, which here primarily favors lower values of the composite mixture fraction and the transport of hydrogen and radicals away from the jet trajectory. </jats:p>

Description
Keywords
Computational Fluid Dynamics, Aeroderivative Gas Turbines, Law of the Wall, Total Mass Flow Rate, Thermophysics and Heat Transfer, Adaptive Mesh Refinement, Hydrogen Technology, Combustion
Journal Title
Journal of Propulsion and Power
Conference Name
Journal ISSN
0748-4658
1533-3876
Volume Title
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Sponsorship
European Commission Horizon 2020 (H2020) Research Infrastructures (RI) (952181)
The research leading to these results has received funding from the European Union’s Horizon 2020 research and innovation program under the Center of Excellence in Combustion (CoEC) project, grant agreement No 952181.