Show simple item record

dc.contributor.authorKhamedov, Ruslan
dc.contributor.authorSong, Wonsik
dc.contributor.authorHernandez Perez, Francisco
dc.contributor.authorIm, Hong G.
dc.date.accessioned2021-02-23T11:47:51Z
dc.date.available2021-02-23T11:47:51Z
dc.date.issued2021-01-04
dc.identifier.citationKhamedov, R., Song, W., Hernandez Perez, F. E., & Im, H. G. (2021). A Computational Study of Ammonia Combustion in MILD Conditions. AIAA Scitech 2021 Forum. doi:10.2514/6.2021-0798
dc.identifier.isbn9781624106095
dc.identifier.doi10.2514/6.2021-0798
dc.identifier.urihttp://hdl.handle.net/10754/667608
dc.description.abstractTo provide fundamental insights into the heat release and emission characteristics of ammonia flames in moderate or intense low-oxygen dilution (MILD) conditions, numerical simulations in one-dimensional laminar and two-dimensional turbulent flame configurations are conducted. The analysis shows that for the ammonia MILD flame, lower NOx emissions can be achieved while improving flame stability characteristics. In addition, the propagation of ammonia flames into forced turbulent flows in a channel is examined in terms of turbulent flame speed and surface area enhancement. The normalized flame speed and flame surface area are well correlated and show qualitatively similar behavior for the MILD and non-MILD flames.
dc.description.sponsorshipThis work was sponsored by King Abdullah University of Science and Technology (KAUST). Computational resources were provided by the KAUST Supercomputing Laboratory (KSL).
dc.publisherAmerican Institute of Aeronautics and Astronautics (AIAA)
dc.relation.urlhttps://arc.aiaa.org/doi/10.2514/6.2021-0798
dc.rightsArchived with thanks to American Institute of Aeronautics and Astronautics
dc.titleA Computational Study of Ammonia Combustion in MILD Conditions
dc.typeConference Paper
dc.contributor.departmentClean Combustion Research Center
dc.contributor.departmentComputational Reacting Flow Laboratory (CRFL)
dc.contributor.departmentMechanical Engineering
dc.contributor.departmentMechanical Engineering Program
dc.contributor.departmentPhysical Science and Engineering (PSE) Division
dc.conference.date19–21 January 2021
dc.conference.nameAIAA Scitech 2021 Forum
dc.conference.locationVIRTUAL EVENT
dc.eprint.versionPre-print
kaust.personKhamedov, Ruslan
kaust.personSong, Wonsik
kaust.personHernandez Perez, Francisco
kaust.personIm, Hong G.
dc.identifier.eid2-s2.0-85100317651
refterms.dateFOA2021-03-28T10:06:26Z
kaust.acknowledged.supportUnitKAUST Supercomputing Laboratory (KSL)
dc.date.published-online2021-01-04
dc.date.published-print2021-01-11


Files in this item

Thumbnail
Name:
SciTech_RuslanKhamedov.pdf
Size:
1.780Mb
Format:
PDF
Description:
Accepted manuscript

This item appears in the following Collection(s)

Show simple item record