Radiative heat transfer and turbulence-radiation interactions in a heavy-duty diesel engine

C. Paul, A. Sircar, A. Imren, S. Ferreyro-Fernandez, S. P. Roy, W. Ge, D. C. Haworth, M. F. Modest

Research output: Contribution to conferencePaperpeer-review

Abstract

Radiation in piston engines has received relatively little attention to date. Recently, it is being revisited in light of current trends towards higher operating pressures and higher levels of exhaust-gas recirculation (EGR), both of which enhance molecular gas radiation. Advanced high-efficiency engines also are expected to function closer to the limits of stable operation, where even small perturbations to the energy balance can have a large influence on system behavior. Here several combinations of spectral radiation property models and radiative transfer equation (RTE) solvers have been implemented in an OpenFOAM-based engine CFD code, and results of preliminary simulations with coupled radiation models are presented for a heavy-duty diesel engine at a part-load no-EGR operating condition. The most important influences on computed emissions and heat losses are found to be those of spectral radiation properties and unresolved turbulent fluctuations in composition and temperature, although overall radiation effects are relatively small for this operating condition. The models are being applied to other operating conditions where radiation effects are expected to be more prominent.

Original languageEnglish
StatePublished - 2016
Externally publishedYes
Event2016 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2016 - Princeton, United States
Duration: Mar 13 2016Mar 16 2016

Conference

Conference2016 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2016
Country/TerritoryUnited States
CityPrinceton
Period03/13/1603/16/16

Funding

This research was funded under the National Science Foundation/Department of Energy Partnership on Advanced Combustion Engines through NSF grants CBET-1258613 (Haworth) and CBET-1258635 (Modest). Computational resources were provided, in part, by XSEDE under allocations TG-PHY120030 and TG-CTS140002.

FundersFunder number
XSEDETG-PHY120030, TG-CTS140002
National Science FoundationCBET-1258613, CBET-1258635
U.S. Department of Energy

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