A numerical investigation on the injection timing of boot injection rate-shapes in a kerosene-diesel engine with a clustered dynamic adaptive chemistry method. (15th June 2018)
- Record Type:
- Journal Article
- Title:
- A numerical investigation on the injection timing of boot injection rate-shapes in a kerosene-diesel engine with a clustered dynamic adaptive chemistry method. (15th June 2018)
- Main Title:
- A numerical investigation on the injection timing of boot injection rate-shapes in a kerosene-diesel engine with a clustered dynamic adaptive chemistry method
- Authors:
- Zhou, Dezhi
Tay, Kun Lin
Tu, Yaojie
Li, Jing
Yang, Wenming
Zhao, Dan - Abstract:
- Highlights: A clustered dynamic adaptive chemistry (CDAC) method is proposed and validated for engine combustion simulations. Boot injection rate shapes in DICI engines are investigated fuelled with kerosene, diesel and their blending. The effect of start of injection of boot injection on the combustion and emission characteristics is investigated. CDAC is able to reduce the computational time by more than 60% while maintaining good accuracy. Abstract: In this study, we conducted a numerical investigation on the effect of injection timing of boot injection rate shape on the combustion and emission characteristics in a direct injection compression ignition (DICI) engine fueled with kerosene/diesel blending. Considering the complex surrogate in kerosene chemical mechanisms and the huge computational workload in multi-dimensional engine simulations, we employed a clustered dynamic adaptive chemistry method (CDAC) to accelerate the chemistry integration process. This study firstly specified the user-defined parameters in this CDAC method by sensitivity analysis in a HCCI and DICI engine with different user-defined parameter combinations. With these specified parameters, CDAC is then validated by comparing its predicted in-cylinder pressure with the full chemistry ones. It is found that the current CDAC method could reduce the computational time by more than 60% compared with the full chemistry CPU time. CDAC, subsequently, is used to conduct the numerical investigation on theHighlights: A clustered dynamic adaptive chemistry (CDAC) method is proposed and validated for engine combustion simulations. Boot injection rate shapes in DICI engines are investigated fuelled with kerosene, diesel and their blending. The effect of start of injection of boot injection on the combustion and emission characteristics is investigated. CDAC is able to reduce the computational time by more than 60% while maintaining good accuracy. Abstract: In this study, we conducted a numerical investigation on the effect of injection timing of boot injection rate shape on the combustion and emission characteristics in a direct injection compression ignition (DICI) engine fueled with kerosene/diesel blending. Considering the complex surrogate in kerosene chemical mechanisms and the huge computational workload in multi-dimensional engine simulations, we employed a clustered dynamic adaptive chemistry method (CDAC) to accelerate the chemistry integration process. This study firstly specified the user-defined parameters in this CDAC method by sensitivity analysis in a HCCI and DICI engine with different user-defined parameter combinations. With these specified parameters, CDAC is then validated by comparing its predicted in-cylinder pressure with the full chemistry ones. It is found that the current CDAC method could reduce the computational time by more than 60% compared with the full chemistry CPU time. CDAC, subsequently, is used to conduct the numerical investigation on the injection timing of boot injection rate shapes. Four different boot injection rate shapes are simulated and compared with the normal rectangular injection. The effect injection timing of the boot injection rate on the engine performance and combustion/emission characteristic is then analyzed in detail. It is found that the change of start of injection (SOI) in boot injection has little influence of the ignition delay in the DICI engine fuelled with diesel and kerosene blending due to the high cetane number of diesel and better volatility of kerosene. In addition, with kerosene addition into the diesel combustion, it is observed that the CO emission could be reduced at all the varied SOI. … (more)
- Is Part Of:
- Applied energy. Volume 220(2018)
- Journal:
- Applied energy
- Issue:
- Volume 220(2018)
- Issue Display:
- Volume 220, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 220
- Issue:
- 2018
- Issue Sort Value:
- 2018-0220-2018-0000
- Page Start:
- 117
- Page End:
- 126
- Publication Date:
- 2018-06-15
- Subjects:
- Clustered dynamic adaptive chemistry -- Kerosene -- Diesel engine
Power (Mechanics) -- Periodicals
Energy conservation -- Periodicals
Energy conversion -- Periodicals
621.042 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03062619 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.apenergy.2018.03.055 ↗
- Languages:
- English
- ISSNs:
- 0306-2619
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1572.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23135.xml