Multidimensional simulations of non-reacting and reacting diesel and biodiesel sprays

Gary Cai and John Abraham

Energy, 2017, vol. 119, issue C, 1221-1229

Abstract: Numerical simulations of non-reacting and reacting diesel and biodiesel sprays in a constant-volume chamber are presented in this paper and some of the results compared to measured data. The conditions of the study include the effects of chamber air dilution with inert gases and varying chamber temperature. n-Heptane is used as the surrogate fuel for diesel fuel and a tri-component fuel mixture consisting of n-heptane, methyl decanoate, and methyl 9-decenoate is used as the surrogate fuel for biodiesel. The computed and measured liquid-phase penetrations in the non-reacting sprays agree within 30% for the range of conditions considered. The vapour penetrations agree within 10%. For the reacting simulations, the turbulence/chemistry interaction is modelled using an unsteady flamelet generated manifold (UFGM) sub-model. As reported in prior work, the UFGM model predicts the flame lift-off height well. The soot model employed is a semi-empirical two-equation model that accounts for nucleation of soot precursors, surface growth via acetylene addition and PAH condensation, coagulation, and oxidation. NO is modelled using the kinetics from a sub-mechanism of GRI-Mech 3.0. The measured trends in soot distribution in the sprays are predicted well although there are significant differences in actual soot volume fractions.

Keywords: Biodiesel combustion modelling; Reacting biodiesel jets; Two-equation soot model (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544216316978
Full text for ScienceDirect subscribers only

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:eee:energy:v:119:y:2017:i:c:p:1221-1229

DOI: 10.1016/j.energy.2016.11.068

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().