TY - CHAP A1 - Pasternak, Michal A1 - Netzer, Corinna A1 - Mauß, Fabian A1 - Fischer, Michael A1 - Sens, Marc A1 - Riess, Michael ED - Günther, Michael ED - Sens, Marc T1 - Simulation of the Effects of Spark Timing and External EGR on Gasoline Combustion Under Knock-Limited Operation at High Speed and Load T2 - Knocking in Gasoline Engines, 5th International Conference, December 12-13, 2017, Berlin, Germany Y1 - 2018 SN - 978-3-319-69760-4 U6 - https://doi.org/10.1007/978-3-319-69760-4_8 SP - 121 EP - 142 PB - Springer International Publishing CY - Cham ER - TY - CHAP A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Lehtiniemi, Harry A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Impact of gasoline surrogates with different fuel sensitivity (RON-MON) on knock prediction T2 - Proceedings of the 6th European Conference on Computational Mechanics (Solids, Structures and Coupled Problems) ECCM 6 and 7th European Conference on Computational Fluid Dynamics ECFD 7, Glasgow, Scotland, UK June 11 – 15, 2018 KW - Impact of gasoline surrogates Y1 - 2018 UR - http://www.eccm-ecfd2018.org/frontal/docs/Ebook-Glasgow-2018-ECCM-VI-ECFD-VII.pdf SP - 906 EP - 917 ER - TY - CHAP A1 - Franken, Tim A1 - Netzer, Corinna A1 - Pasternak, Michal A1 - Mauß, Fabian A1 - Seidel, Lars A1 - Matrisciano, Andrea A1 - Borg, Anders A1 - Lehtiniemi, Harry A1 - Kulzer, André Casal T1 - Assessment of Water Injection in a SI Engine using a Fast Running Detailed Chemistry Based Combustion Model T2 - Symposium of Combustion Control 2018, Aachen KW - Assessment of Water Injection Y1 - 2018 UR - https://www.researchgate.net/publication/326059620 UR - http://logesoft.com/loge-16/wp-content/uploads/2018/07/2018-06-19-SCC_-1.pdf CY - Aachen ER - TY - CHAP A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Lehtiniemi, Harry A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Impact of Formulation of Fuel Surrogates on Engine Knock Prediction T2 - International Multidimensional Engine Modeling User's Group Meeting at the SAE Congress, April 9th , 2018, Detroit, USA KW - Impact of Formulation of Fuel Surrogates Y1 - 2018 UR - http://www.erc.wisc.edu/imem/2018/Paper%234-Netzer%20et%20al.pdf ER - TY - GEN A1 - Netzer, Corinna A1 - Pasternak, Michal A1 - Seidel, Lars A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Computationally efficient prediction of cycle-to-cycle variations in spark-ignition engines T2 - International Journal of Engine Research N2 - Cycle-to-cycle variations are important to consider in the development of spark-ignition engines to further increase fuel conversion efficiency. Direct numerical simulation and large eddy simulation can predict the stochastics of flows and therefore cycle-to-cycle variations. However, the computational costs are too high for engineering purposes if detailed chemistry is applied. Detailed chemistry can predict the fuels’ tendency to auto-ignite for different octane ratings as well as locally changing thermodynamic and chemical conditions which is a prerequisite for the analysis of knocking combustion. In this work, the joint use of unsteady Reynolds-averaged Navier–Stokes simulations for the analysis of the average engine cycle and the spark-ignition stochastic reactor model for the analysis of cycle-to-cycle variations is proposed. Thanks to the stochastic approach for the modeling of mixing and heat transfer, the spark-ignition stochastic reactor model can mimic the randomness of turbulent flows that is missing in the Reynolds-averaged Navier–Stokes modeling framework. The capability to predict cycle-to-cycle variations by the spark-ignition stochastic reactor model is extended by imposing two probability density functions. The probability density function for the scalar mixing time constant introduces a variation in the turbulent mixing time that is extracted from the unsteady Reynolds-averaged Navier–Stokes simulations and leads to variations in the overall mixing process. The probability density function for the inflammation time accounts for the delay or advancement of the early flame development. The combination of unsteady Reynolds-averaged Navier–Stokes and spark-ignition stochastic reactor model enables one to predict cycle-to-cycle variations using detailed chemistry in a fraction of computational time needed for a single large eddy simulation cycle. Y1 - 2020 U6 - https://doi.org/10.1177/1468087419856493 SN - 2041-3149 SN - 1468-0874 VL - 21 IS - 4 SP - 649 EP - 663 ER - TY - GEN A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Assessment of the validity of RANS knock prediction using the resonance theory T2 - International Journal of Engine Research N2 - Following the resonance theory by Bradley and co-workers, engine knock is a consequence of an auto-ignition in the developing detonation regime. Their detonation diagram was developed using direct numerical simulations and was applied in the literature to engine knock assessment using large eddy simulations. In this work, it is analyzed if the detonation diagram can be applied for post-processing and evaluation of predicted auto-ignitions in Reynolds-averaged Navier–Stokes simulations even though the Reynolds-averaged Navier–Stokes approach cannot resolve the fine structures resolved in direct numerical simulations and large eddy simulations that lead to the prediction of a developing detonation. For this purpose, an engine operating point at the knock limit spark advance is simulated using Reynolds-averaged Navier–Stokes and large eddy simulations. The combustion is predicted using the G-equation and the well-stirred reactor model in the unburnt gases based on a detailed gasoline surrogate reaction scheme. All the predicted ignition kernels are evaluated using the resonance theory in a post-processing step. According to the different turbulence models, the predicted pressure rise rates and gradients differ. However, the predicted ignition kernel sizes and imposed gas velocities by the auto-ignition event are similar, which suggests that the auto-ignitions predicted by Reynolds-averaged Navier–Stokes simulations can be given a meaningful interpretation within the detonation diagram. Y1 - 2020 U6 - https://doi.org/10.1177/1468087419846032 SN - 2041-3149 SN - 1468-0874 VL - 21 IS - 4 SP - 610 EP - 621 ER - TY - GEN A1 - Netzer, Corinna A1 - Li, Tian A1 - Seidel, Lars A1 - Mauß, Fabian A1 - Løvås, Terese T1 - Stochastic Reactor-Based Fuel Bed Model for Grate Furnaces T2 - Energy & Fuels N2 - Biomass devolatilization and incineration in grate-fired plants are characterized by heterogeneous fuel mixtures, often incompletely mixed, dynamical processes in the fuel bed and on the particle scale, as well as heterogeneous and homogeneous chemistry. This makes modeling using detailed kinetics favorable but computationally expensive. Therefore, a computationally efficient model based on zero-dimensional stochastic reactors and reduced chemistry schemes, consisting of 83 gas-phase species and 18 species for surface reactions, is developed. Each reactor is enabled to account for the three phases: the solid phase, pore gas surrounding the solid, and the bulk gas. The stochastic reactors are connected to build a reactor network that represents the fuel bed in grate-fired furnaces. The use of stochastic reactors allows us to account for incompletely mixed fuel feeds, distributions of local temperature and local equivalence ratio within each reactor and the fuel bed. This allows us to predict the released gases and emission precursors more accurately than if a homogeneous reactor network approach was employed. The model approach is demonstrated by predicting pyrolysis conditions and two fuel beds of grate-fired plants from the literature. The developed approach can predict global operating parameters, such as the fuel bed length, species release to the freeboard, and species distributions within the fuel bed to a high degree of accuracy when compared to experiments. Y1 - 2020 UR - https://pubs.acs.org/doi/full/10.1021/acs.energyfuels.0c02868 U6 - https://doi.org/10.1021/acs.energyfuels.0c02868 SN - 1520-5029 VL - 34 IS - 12 SP - 16599 EP - 16612 ER - TY - GEN A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Impact of the surrogate formulation on 3D CFD engine knock prediction using detailed chemistry T2 - Fuel N2 - For engine knock prediction, surrogate fuels are often composed of iso-octane and n-heptane since they are the components of the Primary Reference Fuel (PRF). By definition, a PRF has no octane sensitivity (S = RON-MON). However, for a commercial gasoline fuel holds RON > MON and therefor S > 0. More complex surrogates are Toluene Reference Fuels (TRF) and Ethanol containing Toluene Reference Fuels (ETRF). In this work, the impact of the surrogate formulation on the prediction of flame propagation and auto-ignition in the unburnt gases are investigated. The surrogates are composed such that the Research Octane Number is the same. The auto-ignition events ahead of the flame front are predicted using 3D CFD and a combustion model based on the ETRF mechanism by Seidel (2017). The strength of the auto-ignition is determined using the detonation diagram by Bradley and co-workers (2002, 2003). Applying the different surrogates, ignition kernels of different size and reactivity are predicted. The results indicate a dependency on the local temperature history and the low temperature chemistry of the fuel species. The comparison of homogenous constant volume reactor and transient simulations show that the analysis of ignition delay time and octane rating solely from homogenous simulations is not sufficient if the knock tendency of a surrogate in engine simulations needs to be characterized. Y1 - 2019 U6 - https://doi.org/10.1016/j.fuel.2019.115678 SN - 1873-7153 VL - Volume 254 ER - TY - GEN A1 - Vacca, Antonino A1 - Bargende, Michael A1 - Chiodi, Marco A1 - Netzer, Corinna A1 - Gern, Maike Sophie A1 - Kauf, Georg Malte A1 - Kulzer, André Casal A1 - Franken, Tim T1 - Analysis of Water Injection Strategies to Exploit the Thermodynamic Effects of Water in Gasoline Engines by Means of a 3D-CFD Virtual Test Bench N2 - CO2 emission constraints taking effect from 2020 lead to further investigations of technologies to lower knock sensitivity of gasoline engines, main limiting factor to increase engine efficiency and thus reduce fuel consumption. Moreover the RDE cycle demands for higher power operation, where fuel enrichment is needed for component protection. To achieve high efficiency, the engine should be run at stoichiometric conditions in order to have better emission control and reduce fuel consumption. Among others, water injection is a promising technology to improve engine combustion efficiency, by mainly reducing knock sensitivity and to keep high conversion rates of the TWC over the whole engine map. The comprehension of multiple thermodynamic effects of water injection through 3D-CFD simulations and their exploitation to enhance the engine combustion efficiency is the main purpose of the analysis. As basis for the research a single cylinder engine derived from a 1l turbocharged 3-cylinders engine is used to evaluate indirect and direct water injection. The entire engine flow field is reproduced and analyzed with 3D-CFD simulations and numerical models are employed to separate the influence of chemical and thermodynamic properties. Measurements are performed with different injectors for indirect/direct water injection in the single-cylinder engine in order to assess water break-up, wall wetting, spray interaction and penetration. Several injection strategies, such as varying start of injection, injection pressure, and water to fuel ratio, are tested at the single-cylinder engine test bench. Detailed gas phase chemistry is employed to link flame front speed with water concentration and knocking occurrence. These results are correlated with the 3D-CFD simulation of mixture formation, in-cylinder flow and water distribution for two different operating points (part load and maximum power) in order to study water behavior, with focus on the evaporation process, in-cylinder pressure and temperature profile, as well as the combustion development, during multiple engine cycles. KW - Water Injection KW - Computational Fluid Dynamics KW - Simulation KW - Virtual Test Bench KW - Thermodynamics Y1 - 2019 UR - https://saemobilus.sae.org/content/2019-24-0102 U6 - https://doi.org/10.4271/2019-24-0102 PB - SAE International CY - Neapel ER - TY - GEN A1 - Franken, Tim A1 - Netzer, Corinna A1 - Mauß, Fabian A1 - Pasternak, Michal A1 - Seidel, Lars A1 - Borg, Anders A1 - Lehtiniemi, Harry A1 - Matrisciano, Andrea A1 - Kulzer, André Casal T1 - Multi-objective optimization of water injection in spark-ignition engines using the stochastic reactor model with tabulated chemistry T2 - International Journal of Engine Research N2 - Water injection is investigated for turbocharged spark-ignition engines to reduce knock probability and enable higher engine efficiency. The novel approach of this work is the development of a simulation-based optimization process combining the advantages of detailed chemistry, the stochastic reactor model and genetic optimization to assess water injection. The fast running quasi-dimensional stochastic reactor model with tabulated chemistry accounts for water effects on laminar flame speed and combustion chemistry. The stochastic reactor model is coupled with the Non-dominated Sorting Genetic Algorithm to find an optimum set of operating conditions for high engine efficiency. Subsequently, the feasibility of the simulation-based optimization process is tested for a three-dimensional computational fluid dynamic numerical test case. The newly proposed optimization method predicts a trade-off between fuel efficiency and low knock probability, which highlights the present target conflict for spark-ignition engine development. Overall, the optimization shows that water injection is beneficial to decrease fuel consumption and knock probability at the same time. The application of the fast running quasi-dimensional stochastic reactor model allows to run large optimization problems with low computational costs. The incorporation with the Non-dominated Sorting Genetic Algorithm shows a well performing multi-objective optimization and an optimized set of engine operating parameters with water injection and high compression ratio is found. KW - Water Injection KW - Genetic Optimization KW - Spark Ignition Engine KW - Stochastic Reactor Model KW - Detailed Chemistry Y1 - 2019 UR - https://journals.sagepub.com/doi/full/10.1177/1468087419857602 U6 - https://doi.org/10.1177/1468087419857602 SN - 2041-3149 VL - 20 IS - 10 SP - 1089 EP - 1100 ER - TY - GEN A1 - Netzer, Corinna A1 - Franken, Tim A1 - Lehtiniemi, Harry A1 - Mauß, Fabian A1 - Seidel, Lars T1 - Numerical Analysis of the Impact of Water Injection on Combustion and Thermodynamics in a Gasoline Engine using Detailed Chemistry T2 - SAE technical papers Y1 - 2018 U6 - https://doi.org/10.4271/2018-01-0200 SN - 0148-7191 SN - 0096-5170 IS - 2018-01-0200 ER - TY - GEN A1 - Franken, Tim A1 - Netzer, Corinna A1 - Pasternak, Michal A1 - Mauß, Fabian A1 - Seidel, Lars A1 - Matrisciano, Andrea A1 - Borg, Anders A1 - Lehtiniemi, Harry A1 - Kulzer, André Casal T1 - Simulation of Spark-Ignited Engines with Water Injection using the Stochastic Reactor Model, 37th International Symposium on Combustion Y1 - 2018 UR - https://www.researchgate.net/publication/328265636 ER - TY - GEN A1 - Franken, Tim A1 - Netzer, Corinna A1 - Mauß, Fabian T1 - Water Injection in Spark-Ignition Engines, FVV Autumn Conference 2018 Y1 - 2018 UR - https://www.researchgate.net/publication/328265540 ER - TY - GEN A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Pasternak, Michal A1 - Lehtiniemi, Harry A1 - Perlman, Cathleen A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Three-dimensional computational fluid dynamics engine knock prediction and evaluation based on detailed chemistry and detonation theory T2 - International Journal of Engine Research N2 - Engine knock is an important phenomenon that needs consideration in the development of gasoline-fueled engines. In our days, this development is supported using numerical simulation tools to further understand and predict in-cylinder processes. In this work, a model tool chain which uses a detailed chemical reaction scheme is proposed to predict the auto-ignition behavior of fuels with different octane ratings and to evaluate the transition from harmless auto-ignitive deflagration to knocking combustion. In our method, the auto-ignition characteristics and the emissions are calculated using a gasoline surrogate reaction scheme containing pathways for oxidation of ethanol, toluene, n-heptane, iso-octane and their mixtures. The combustion is predicted using a combination of the G-equation based flame propagation model utilizing tabulated laminar flame speeds and well-stirred reactors in the burned and … KW - Engine knock is an important phenomenon Y1 - 2018 U6 - https://doi.org/10.1177/1468087417740271 SN - 1468-0874 SN - 2041-3149 VL - 19 IS - 1 SP - 33 EP - 44 ER - TY - GEN A1 - Werner, Adina A1 - Netzer, Corinna A1 - Lehtiniemi, Harry A1 - Borg, Anders A1 - Matrisciano, Andrea A1 - Seidel, Lars A1 - Mauß, Fabian T1 - A Computationally Efficient Combustion Progress Variable (CPV) Approach for Engine Applications KW - (CPV) Approach for Engine Applications Y1 - 2018 U6 - https://doi.org/10.13140/RG.2.2.15334.27209 ER - TY - GEN A1 - Werner, Adina A1 - Matrisciano, Andrea A1 - Netzer, Corinna A1 - Lehtiniemi, Harry A1 - Borg, Anders A1 - Seidel, Lars A1 - Mauß, Fabian T1 - Further Application of the Fast Tabulated CPV Approach Y1 - 2018 UR - https://www.researchgate.net/publication/330737537 U6 - https://doi.org/10.13140/RG.2.2.18689.71529 N1 - 1st International Conference on Smart Energy Carriers ER - TY - GEN A1 - Seidel, Lars A1 - Netzer, Corinna A1 - Hilbig, Martin A1 - Mauß, Fabian A1 - Klauer, Christian A1 - Pasternak, Michal A1 - Matrisciano, Andrea T1 - Systematic reduction of detailed chemical reaction mechanisms for engine applications T2 - Journal of Engineering for Gas Turbines and Power N2 - In this work, we apply a sequence of concepts for mechanism reduction on one reaction mechanism including novel quality control. We introduce a moment-based accuracy rating method for species profiles. The concept is used for a necessity-based mechanism reduction utilizing 0D reactors. Thereafter a stochastic reactor model for internal combustion engines is applied to control the quality of the reduced reaction mechanism during the expansion phase of the engine. This phase is sensitive on engine out emissions, and is often not considered in mechanism reduction work. The proposed process allows to compile highly reduced reaction schemes for computational fluid dynamics application for internal combustion engine simulations. It is demonstrated that the resulting reduced mechanisms predict combustion and emission formation in engines with accuracies comparable to the original detailed scheme. KW - Reaction Mechanism Reduction KW - Engine Modelling Y1 - 2017 U6 - https://doi.org/10.1115/1.4036093 SN - 1528-8919 SN - 0742-4795 VL - 139 IS - 9 SP - 091701-1 EP - 091701-9 ER - TY - GEN A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Pasternak, Michal A1 - Klauer, Christian A1 - Perlman, Cathleen A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Engine Knock Prediction and Evaluation Based on Detonation Theory Using a Quasi-Dimensional Stochastic Reactor Mode T2 - SAE technical paper KW - Engine Knock Prediction and Evaluation Based Y1 - 2017 U6 - https://doi.org/10.4271/2017-01-0538 SN - 0096-5170 SN - 0148-7191 IS - 2017-01-0538 SP - 11 Seiten ER - TY - CHAP A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Pasternak, Michal A1 - Mauß, Fabian A1 - Lehtiniemi, Harry A1 - Perlman, Cathleen A1 - Ravet, Frédéric ED - Leipertz, Alfred ED - Fröba, Andreas Paul T1 - 3D CFD Engine Knock Predication and Evaluation Based on Detailed Chemistry and Detonation Theory T2 - Motorische Verbrennung : aktuelle Probleme und moderne Lösungsansätze, XIII. Tagung im Haus der Technik Ludwigsburg, 16.-17. März 2017 KW - 3D CFD Engine Knock Y1 - 2017 SN - 978-3-945806-08-1 PB - ESYTEC Energie- und Systemtechnik GmbH CY - Erlangen ER - TY - CHAP A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Pasternak, Michal A1 - Klauer, Christian A1 - Perlman, Cathleen A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Impact of Gasoline Octane Rating on Engine Knock using Detailed Chemistry and a Quasi-dimensional Stochastic Reaktior Model T2 - Digital Proceedings of the 8th European Combustion Meeting (ECM 2017), Dubrovnik, Croatia Y1 - 2017 UR - https://www.researchgate.net/publication/319059022 SP - 493 EP - 498 ER - TY - GEN A1 - Franken, Tim A1 - Sommerhoff, Arnd A1 - Willems, Werner A1 - Matrisciano, Andrea A1 - Lehtiniemi, Harry A1 - Borg, Anders A1 - Netzer, Corinna A1 - Mauß, Fabian T1 - Advanced Predictive Diesel Combustion Simulation Using Turbulence Model and Stochastic Reactor Model T2 - SAE technical paper KW - Advanced Predictive Y1 - 2017 UR - http://papers.sae.org/2017-01-0516 U6 - https://doi.org/10.4271/2017-01-0516 SN - 0148-7191 SN - 0096-5170 N1 - WCX™ 17: SAE World Congress Experience ER - TY - CHAP A1 - Netzer, Corinna A1 - Seidel, Lars A1 - Lehtiniemi, Harry A1 - Ravet, Frédéric A1 - Mauß, Fabian T1 - Efficient tracking of knock onset for a wide range of fuel surrogates T2 - International Multidimensional Engine Modeling User's Group Meeting at the SAE Congress KW - Efficient tracking of knock Y1 - 2017 UR - https://www.researchgate.net/publication/319137036 ER - TY - CHAP A1 - Seidel, Lars A1 - Netzer, Corinna A1 - Hilbig, Martin A1 - Mauß, Fabian A1 - Klauer, Christian A1 - Pasternak, Michal A1 - Matrisciano, Andrea T1 - Systematic Reduction of Detailed Chemical Reaction Mechanisms for Engine Applications T2 - ASME 2016 Internal Combustion Engine Division Fall Technical Conference Greenville, South Carolina, USA, October 9–12, 2016 N2 - In this work we apply a sequence of concepts for mechanism reduction on one reaction mechanism including novel quality control. We introduce a moment based accuracy rating method for species profiles. The concept is used for a necessity based mechanism reduction utilizing 0D reactors. Thereafter a stochastic reactor model (SRM) for internal combustion engines is applied to control the quality of the reduced reaction mechanism during the expansion phase of the engine. This phase is sensitive on engine out emissions, and is often not considered in mechanism reduction work. The proposed process allows to compile highly reduced reaction schemes for CFD application for internal combustion engine simulations. It is demonstrated that the resulting reduced mechanisms predict combustion and emission formation in engines with accuracies comparable to the original detailed scheme. KW - Systematic Reduction KW - Chemical Reaction Mechanismus for Engine Applications Y1 - 2016 SN - 978-0-7918-5050-3 N1 - Paper No. ICEF2016-9304 PB - The American Society of Mechanical Engineers CY - New York, N.Y. ER - TY - CHAP A1 - Matrisciano, Andrea A1 - Borg, Anders A1 - Perlman, Cathleen A1 - Pasternak, Michal A1 - Seidel, Lars A1 - Netzer, Corinna A1 - Mauß, Fabian A1 - Lehtiniemi, Harry T1 - Simulation of DI-Diesel combustion using tabulated chemistry approach T2 - 1st Conference on Combustion Processes in Marine and Automotive Engines, 7th - 8th June 2016, Lund, Schweden KW - Simulation of DI-Diesel Y1 - 2016 UR - http://ecco-mate.eu/images/Training%20events/LUND/ECCO-MATE_C1_Proceedings.pdf SP - 44 EP - 47 ER - TY - CHAP A1 - Seidel, Lars A1 - Klauer, Christian A1 - Pasternak, Michal A1 - Matrisciano, Andrea A1 - Netzer, Corinna A1 - Hilbig, Martin A1 - Mauß, Fabian T1 - Systematic Mechanism Reduction for Engine Applications T2 - 5th International Workshop on Model Reduction in Reacting Flows, Lübbenau, 2015 N2 - In this work we apply various concepts of mechanism reduction with a PDF based method for species profile conservation. The reduction process is kept time efficient by only using 0D and 1D reactors. To account for the expansion phase in internal combustion engines a stochastic engine tool is used to validate the reduction steps. KW - Combustion, Mechanism Reduction Y1 - 2015 UR - www.modelreduction.net UR - http://modelreduction.net/wp-content/uploads/2015/07/5th_IWMRRF_2015.pdf ER - TY - GEN A1 - Matrisciano, Andrea A1 - Netzer, Corinna A1 - Werner, Adina A1 - Borg, Anders A1 - Seidel, Lars A1 - Mauß, Fabian T1 - A Computationally Efficient Progress Variable Approach for In-Cylinder Combustion and Emissions Simulations T2 - SAE Technical Paper N2 - The use of complex reaction schemes is accompanied by high computational cost in 3D CFD simulations but is particularly important to predict pollutant emissions in internal combustion engine simulations. One solution to tackle this problem is to solve the chemistry prior the CFD run and store the chemistry information in look-up tables. The approach presented combines pre-tabulated progress variable-based source terms for auto-ignition as well as soot and NOx source terms for emission predictions. The method is coupled to the 3D CFD code CONVERGE v2.4 via user-coding and tested over various speed and load passenger-car Diesel engine conditions. This work includes the comparison between the combustion progress variable (CPV) model and the online chemistry solver in CONVERGE 2.4. Both models are compared by means of combustion and emission parameters. A detailed n-decane/α-methyl-naphthalene mechanism, comprising 189 species, is used for both online and tabulated chemistry simulations. The two chemistry solvers show very good agreement between each other and equally predict trends derived experimentally by means of engine performance parameters as well as soot and NOx engine-out emissions. The CPV model shows a factor 8 speed-up in run-time compared to the online chemistry solver without compromising the accuracy of the solution. Y1 - 2019 U6 - https://doi.org/10.4271/2019-24-0011 SN - 0148-7191 SN - 2688-3627 ER -