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

Bittagowdanahalli Manjegowda Ningegowda, Faniry Nadia Zazaravaka Rahantamialisoa, Adrian Pandal, Hrvoje Jasak, Hong Geun Im and Michele Battistoni
Additional contact information
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

Energies, 2020, vol. 13, issue 21, 1-27

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.

Keywords: fuel injection and mixing; implicit LES; real-fluid; cryogenic nitrogen; n-dodecane; OpenFOAM ®; supercritical conditions; cubic EOS; Peng-Robinson; Chung transport (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/21/5676/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/21/5676/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:21:p:5676-:d:437388

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().