Implications of Low Particulate Matter Emissions on System Fuel Efficiency for High Efficiency Clean Combustion

2009-01-2709

11/02/2009

Event
SAE 2009 Powertrains Fuels and Lubricants Meeting
Authors Abstract
Content
Advanced diesel combustion regimes such as High Efficiency Clean Combustion (HECC) offer the benefits of reduced engine out NOx and particulate matter (PM) emissions. Lower PM emissions during advanced combustion reduce the demand on diesel particulate filters (DPFs) and can, thereby, reduce the fuel penalty associated with DPF regeneration. In this study, a SiC DPF was loaded and regenerated on a 1.7-liter 4-cylinder diesel engine operated in conventional and advanced combustion modes at different speed and load conditions. A diesel oxidation catalyst (DOC) and a lean NOx trap (LNT) were also installed in the exhaust stream. Five steady-state speed and load conditions were weighted to estimate Federal Test Procedure (FTP) fuel efficiency. The DPF was loaded using lean-rich cycling with frequencies that resulted in similar levels of NOx emissions downstream of the LNT. The pressure drop across the DPF was measured at a standard condition (1500 rpm, 5.0 bar) before and after loading, and a ΔP rise rate was determined for comparison between conventional and advanced combustion modes. Higher PM emissions in conventional combustion resulted in a higher rate of backpressure rise across the DPF at all of the load points leading to more frequent DPF regenerations and higher fuel penalty. The fuel penalty during conventional combustion was 4.2% compared with 3.1% for a mixture of conventional and advanced modes.
Meta TagsDetails
DOI
https://doi.org/10.4271/2009-01-2709
Pages
7
Citation
Prikhodko, V., and Parks, J., "Implications of Low Particulate Matter Emissions on System Fuel Efficiency for High Efficiency Clean Combustion," SAE Technical Paper 2009-01-2709, 2009, https://doi.org/10.4271/2009-01-2709.
Additional Details
Publisher
Published
Nov 2, 2009
Product Code
2009-01-2709
Content Type
Technical Paper
Language
English