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Numerical Modeling of Transcritical and Supercritical Fuel Injections Using a Multi-Component Two-Phase Flow Model

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  • Bittagowdanahalli Manjegowda Ningegowda

    (Department of Engineering, University of Perugia, 06125 Perugia, Italy)

  • Faniry Nadia Zazaravaka Rahantamialisoa

    (Department of Engineering, University of Perugia, 06125 Perugia, Italy)

  • Adrian Pandal

    (Departamento de Energía, Universidad de Oviedo, 33203 Gijón, Spain)

  • Hrvoje Jasak

    (Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Ivana Lučića 5, 10000 Zagreb, Croatia)

  • Hong Geun Im

    (Clean Combustion Research Center, King Abdullah University of Science and Technology, 23955 Thuwal, Saudi Arabia)

  • Michele Battistoni

    (Department of Engineering, University of Perugia, 06125 Perugia, Italy)

Abstract

In the present numerical study, implicit large eddy simulations (LES) of non-reacting multi-components mixing processes of cryogenic nitrogen and n-dodecane fuel injections under transcritical and supercritical conditions are carried out, using a modified reacting flow solver, originally available in the open source software OpenFOAM ® . To this end, the Peng-Robinson (PR) cubic equation of state (EOS) is considered and the solver is modified to account for the real-fluid thermodynamics. At high pressure conditions, the variable transport properties such as dynamic viscosity and thermal conductivity are accurately computed using the Chung transport model. To deal with the multicomponent species mixing, molar averaged homogeneous classical mixing rules are used. For the velocity-pressure coupling, a PIMPLE based compressible algorithm is employed. For both cryogenic and non-cryogenic fuel injections, qualitative and quantitative analyses are performed, and the results show significant effects of the chamber pressure on the mixing processes and entrainment rates. The capability of the proposed numerical model to handle multicomponent species mixing with real-fluid thermophysical properties is demonstrated, in both supercritical and transcritical regimes.

Suggested Citation

  • Bittagowdanahalli Manjegowda Ningegowda & Faniry Nadia Zazaravaka Rahantamialisoa & Adrian Pandal & Hrvoje Jasak & Hong Geun Im & Michele Battistoni, 2020. "Numerical Modeling of Transcritical and Supercritical Fuel Injections Using a Multi-Component Two-Phase Flow Model," Energies, MDPI, vol. 13(21), pages 1-27, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5676-:d:437388
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    References listed on IDEAS

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    1. Jaya Madana Gopal & Giovanni Tretola & Robert Morgan & Guillaume de Sercey & Andrew Atkins & Konstantina Vogiatzaki, 2020. "Understanding Sub and Supercritical Cryogenic Fluid Dynamics in Conditions Relevant to Novel Ultra Low Emission Engines," Energies, MDPI, vol. 13(12), pages 1-25, June.
    2. Zhang, Jibao & Zhang, Xin & Wang, Tao & Hou, Xiaosen, 2019. "A numerical study on jet characteristics under different supercritical conditions for engine applications," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    3. Robert Keser & Alberto Ceschin & Michele Battistoni & Hong G. Im & Hrvoje Jasak, 2020. "Development of a Eulerian Multi-Fluid Solver for Dense Spray Applications in OpenFOAM," Energies, MDPI, vol. 13(18), pages 1-18, September.
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    Cited by:

    1. Sajad Jafari & Hesham Gaballa & Chaouki Habchi & Jean-Charles de Hemptinne, 2021. "Towards Understanding the Structure of Subcritical and Transcritical Liquid–Gas Interfaces Using a Tabulated Real Fluid Modeling Approach," Energies, MDPI, vol. 14(18), pages 1-38, September.
    2. Ba, Jin & Wei, Wu & Zhao, Lun & Gang, Xiao & Dong, Wenzhi & Zhou, Tingyu, 2023. "Numerical simulation of trans-/near-/supercritical injection characteristics based on real fluid properties," Energy, Elsevier, vol. 278(C).

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