Development of a Computationally Efficient Progress Variable Approach for a Direct Injection Stochastic Reactor Model

• DOI: 10.4271/2017-01-0512
• Publication Date: 2017-03-28T10:28:19Z
• Authors: Andrea Matrisciano; Tim Franken; Cathleen Perlman; Anders Borg; Harry Lehtiniemi; Fabian Mauss
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology; 7. Clean energy

A novel 0-D Probability Density Function (PDF) based approach for the modelling of Diesel combustion using tabulated chemistry is presented. The Direct Injection Stochastic Reactor Model (DI-SRM) by Pasternak et al. has been extended with a progress variable framework allowing use pre-calculated auto-ignition table. Auto-ignition through adiabatic constant pressure reactor calculations. implementation assessed against previously presented DI-SRM version where chemical reactions are solved online. mechanism used in this work both, online run and table generation, an scheme Nawdial main fuel species n-decane, α-methylnaphthalene methyl-decanoate giving size 463 7600 reactions. single-injection part-load heavy-duty engine case 28 % EGR fueled regular investigated both chemistry. Comparisons between two approaches means overall performance engine-out emission predictions equivalence ratio-temperature space. new delivers reasonably good agreement one. methodology paper allows detailed high computational efficiency thus facilitates development process.