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Ongoing efforts in applying a “high-end” turbulent combustion model (a transported probability density function - tPDF - method) to direct-injection internal combustion engines are discussed. New numerical algorithm and physical modeling issues arise compared to more conventional modeling approaches. These include coupling between Eulerian finite-volume methods and Lagrangian Monte Carlo particle methods, liquid fuel spray/tPDF coupling, and heat transfer. Sensitivity studies are performed and quantitative comparisons are made between model results and experimental measurements in a diesel/PCCI engine. Marked differences are found between tPDF results that account explicitly for turbulence/chemistry interactions (TCI) and results obtained using models that do not account for TCI. Computed pressure and heat release profiles agree well with experimental measurements and respond correctly to variations in engine operating conditions.

Two widely available engine and hybrid electric vehicle (HEV) simulation packages have been integrated to reduce fuel consumption and pollutant emissions for a hybrid electric sport utility vehicle. WAVE, a one-dimensional engine analysis tool available from Ricardo Software, was used to model a 2.5L 103 kW Detroit Diesel engine. This model was validated against engine performance and emissions data obtained from testing in a combustion laboratory. ADVISOR, an HEV simulation software developed by the National Renewable Energy Laboratory in partnership with the Department of Energy (DOE), was used to model a 2002 Ford Explorer that is being converted into an HEV by the Penn State University FutureTruck team. By integrating the output file from WAVE as the input engine data file for ADVISOR, one can predict the effect of changes in engine parameters on vehicle emissions, fuel consumption, and power requirements for specified drive cycles.

A storage/retrieval scheme - in situ adaptive tabulation (ISAT) [1] - is used to implement detailed chemistry in a multidimensional engine CFD code. The emphasis is on predicting autoignition in nearly homogeneous and moderately non-homogeneous mixtures (HCCI); preliminary results for highly non-homogeneous direct-injection autoignition also are reported. Speedups approaching a factor of 100 have been realized with ISAT compared to direct integration of the chemical source terms; factors of five-to-ten are more readily obtainable. In the standard ISAT method, table size increases as the square of the number of chemical species in the reaction mechanism; here linear scaling is achieved by limiting the set of independent tabulation variables, while still retaining the full chemical mechanism. A key to effective use of storage/retrieval is judicious specification of the control parameters; guidelines for parameter specification are presented.

Multidimensional computational fluid dynamics (CFD) has become an accepted and indispensible tool in the analysis and design of next-generation low-fuel-consumption, low-emissions internal combustion (IC) engines. Turbulent combustion models have been developed to deal with the wide variety of combustion phenomena that occur in spark- and compression-ignition, homogeneous- and stratified-charge engines. IC-engine combustion can vary from essentially premixed turbulent flame propagation, through turbulent-mixing-controlled nonpremixed combustion, to chemical-kinetics-controlled regimes, within a single device on a single engine cycle. In this review, an overview of the combustion systems of interest for reciprocating-piston IC engines is provided first. Then the underlying governing equations, and the manipulations and simplifications that lead to a tractable equation set suitable for engineering CFD calculations, are reviewed.