Modelling a Duaul-fuelled Multi-cylinder HCCI Engine Using a PDF based Engine Cycle Simulator
(2004) In SAE technical paper series- Abstract
- Operating the HCCI engine with dual fuels with a large difference in auto-ignition characteristics (octane number) is one way to control the HCCI operation. The effect of octane number on combustion, emissions and engine performance in a 6-cylinder SCANIA truck engine, fuelled with n-heptane and isooctane, and running in HCCI mode, are investigated numerically and compared with measurements taken from Olsson et al. To correctly simulate the HCCI engine operation, we implement a probability density function (PDF)-based stochastic reactor model (including detailed chemical kinetics and accounting for inhomogeneities in composition and temperature) coupled with GT-POWER, a 1-D fluid-dynamics-based engine cycle simulator. Such a coupling... (More)
- Operating the HCCI engine with dual fuels with a large difference in auto-ignition characteristics (octane number) is one way to control the HCCI operation. The effect of octane number on combustion, emissions and engine performance in a 6-cylinder SCANIA truck engine, fuelled with n-heptane and isooctane, and running in HCCI mode, are investigated numerically and compared with measurements taken from Olsson et al. To correctly simulate the HCCI engine operation, we implement a probability density function (PDF)-based stochastic reactor model (including detailed chemical kinetics and accounting for inhomogeneities in composition and temperature) coupled with GT-POWER, a 1-D fluid-dynamics-based engine cycle simulator. Such a coupling proves to be ideal for the understanding of the combustion phenomenon as well as the gas dynamics processes intrinsic to the engine cycle. The convective heat transfer in the engine cylinder is modeled as a stochastic jump process and accounts for the fluctuations and fluid-wall interaction effects. Curl's coalescence-dispersion model is used to describe turbulent mixing. A good agreement is observed between the predicted values and measurements for in-cylinder pressure, auto-ignition timing and CO, HC as well as NOx emissions for the base case. The advanced PDF-based engine cycle simulator clearly outperforms the widely used homogeneous model-based full cycle engine simulator. The trends in combustion characteristics such as ignition crank angle degree and combustion duration with respect to varying octane numbers are predicted well as compared to measurements. The integrated model provides reliable predictions for in-cylinder temperature, CO, HC as well as NOx emissions over a wide range of octane numbers studied. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1293859
- author
- Behave, Amit ; Kraft, Markus ; Montorsi, Luca and Mauss, Fabian LU
- organization
- publishing date
- 2004
- type
- Contribution to specialist publication or newspaper
- publication status
- published
- subject
- in
- SAE technical paper series
- issue
- No 2004-01-0561
- publisher
- Society of Automotive Engineers
- ISSN
- 0148-7191
- language
- English
- LU publication?
- yes
- id
- 5012f4d9-b25d-4350-8362-36fdcb364e55 (old id 1293859)
- date added to LUP
- 2016-04-04 09:22:26
- date last changed
- 2021-03-25 21:05:58
@misc{5012f4d9-b25d-4350-8362-36fdcb364e55, abstract = {{Operating the HCCI engine with dual fuels with a large difference in auto-ignition characteristics (octane number) is one way to control the HCCI operation. The effect of octane number on combustion, emissions and engine performance in a 6-cylinder SCANIA truck engine, fuelled with n-heptane and isooctane, and running in HCCI mode, are investigated numerically and compared with measurements taken from Olsson et al. To correctly simulate the HCCI engine operation, we implement a probability density function (PDF)-based stochastic reactor model (including detailed chemical kinetics and accounting for inhomogeneities in composition and temperature) coupled with GT-POWER, a 1-D fluid-dynamics-based engine cycle simulator. Such a coupling proves to be ideal for the understanding of the combustion phenomenon as well as the gas dynamics processes intrinsic to the engine cycle. The convective heat transfer in the engine cylinder is modeled as a stochastic jump process and accounts for the fluctuations and fluid-wall interaction effects. Curl's coalescence-dispersion model is used to describe turbulent mixing. A good agreement is observed between the predicted values and measurements for in-cylinder pressure, auto-ignition timing and CO, HC as well as NOx emissions for the base case. The advanced PDF-based engine cycle simulator clearly outperforms the widely used homogeneous model-based full cycle engine simulator. The trends in combustion characteristics such as ignition crank angle degree and combustion duration with respect to varying octane numbers are predicted well as compared to measurements. The integrated model provides reliable predictions for in-cylinder temperature, CO, HC as well as NOx emissions over a wide range of octane numbers studied.}}, author = {{Behave, Amit and Kraft, Markus and Montorsi, Luca and Mauss, Fabian}}, issn = {{0148-7191}}, language = {{eng}}, number = {{No 2004-01-0561}}, publisher = {{Society of Automotive Engineers}}, series = {{SAE technical paper series}}, title = {{Modelling a Duaul-fuelled Multi-cylinder HCCI Engine Using a PDF based Engine Cycle Simulator}}, year = {{2004}}, }