Abstract
Traditional selective catalytic reduction aftertreatment technologies used to reduce (Formula presented.) are very limited at exhaust temperatures below (Formula presented.). Therefore, under these low engine load conditions, having effective in-cylinder control of (Formula presented.) emissions is important. Previous work by the authors explored the effect of fuel physical properties on the ability to control (Formula presented.) in-cylinder. That work was limited to one direct injection near top dead center. Modern diesel high-pressure fuel systems have the capability of five or more injections in one engine cycle. A higher-volatility diesel fuel and high amounts of exhaust gas recirculation to delay ignition could provide an opportunity for reduction in engine-out (Formula presented.) through an increased level of fuel premixing. By appropriately timing multiple short injections, a more optimal distribution of fuel in-cylinder may be achieved, which could reduce (Formula presented.) while maintaining an efficient combustion phasing. A computational fluid dynamics model previously validated against experimental data was used to explore several injection strategies with increased levels of fuel premixing to assess the potential trade-offs between (Formula presented.) and CO/unburned hydrocarbon (UHC) emissions and thus reduce reliance on the aftertreatment system for (Formula presented.) control. The results show that the devised injection strategies resulted in an increased level of fuel premixing. However, none of the attempted injection strategies resulted in significant (Formula presented.) reductions, and all strategies showed a significant increase in CO and UHC emissions.
Original language | English |
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Pages (from-to) | 3850-3862 |
Number of pages | 13 |
Journal | International Journal of Engine Research |
Volume | 24 |
Issue number | 9 |
DOIs | |
State | Published - Sep 2023 |
Funding
This manuscript has been authored by UT-Battelle LLC, under contract DE-AC05-00OR2272 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ). This research was conducted as part of the Co-Optima initiative sponsored by the US Department of Energy’s (DOE’s) Office of Energy Efficiency and Renewable Energy and Bioenergy Technologies and Vehicle Technologies Offices. Co-Optima is a collaborative project of multiple national laboratories initiated to simultaneously accelerate the introduction of affordable, scalable, and sustainable biofuels and high-efficiency, low-emission vehicle engines. Special thanks to program managers Kevin Stork, Gurpreet Singh, and Mike Weismiller. Thanks to Convergent Science for providing licenses to CONVERGE. This research used resources of the Compute and Data Environment for Science (CADES) at Oak Ridge National Laboratory, which is supported by DOE Office of Science under contract no. DE-AC05-00OR22725. This research was conducted as part of the Co-Optima initiative sponsored by the US Department of Energy’s (DOE’s) Office of Energy Efficiency and Renewable Energy and Bioenergy Technologies and Vehicle Technologies Offices under contract DE-AC05-00OR2272.
Keywords
- ACI
- Diesel
- EGR
- multi-injection
- volatility