TY - CHAP A1 - Seidel, Lars A1 - Perlman, Cathleen A1 - Fröjd, Karin A1 - Klaus, Anna-Katharina A1 - Laska, Timothy A1 - Jalving, J. A1 - Mauß, Fabian ED - Seidel, Lars T1 - CPU Efficient Modelling of Biomass Gasification Using a Stochastic Reactor Approach and Chemistry Guided Reduction T2 - 22nd European Biomass Conference and Exhibition KW - Biomass Y1 - 2014 ER - TY - GEN A1 - Seidel, Lars A1 - Perlman, Cathleen A1 - Fröjd, Karin A1 - Klaus, Anna-Katharina A1 - Laska, Timothy A1 - Jalving, T. A1 - Mauß, Fabian T1 - CPU Efficient Modelling of Biomass Gasification Using a Stochastic Reactor Approach and Chemistry Guided Reduction KW - CPU Efficient Modelling Y1 - 2014 UR - http://www.loge.se/pdf/poster_BiomassConferenceBCE2014.pdf N1 - 1st International Workshop on Computational Fluid Dynamics (CFD) and biomass thermochemical Conversion SP - 1 ER - TY - CHAP A1 - Rodriguez Henriquez, Jose Juan A1 - Seidel, Lars A1 - Mauß, Fabian T1 - Plug Flow Reactor Set-up evaluation with methane decomposition at mild conditions and overpressure T2 - Abstract book, 7th European Combustion Meeting (ECM), Budapest, Hungary, March 30-April 2 Y1 - 2015 SN - 978-963-12-1257-0 ER - TY - CHAP A1 - Matrisciano, Andrea A1 - Seidel, Lars A1 - Klauer, Christian A1 - Mauß, Fabian A1 - Lehtiniemi, Harry T1 - An a priori thermodynamic data analysis based on chemical lumping method for the reduction of large and multi-component chemical kinetic mechanisms T2 - 5th Annual Internation Workshop on Model Reduction in Reaction Flows (IWMRRF) Lübbenau, 28.06-01.07.2015, proceedings Y1 - 2015 ER - TY - CHAP A1 - Lehtiniemi, Harry A1 - Borg, Andreas A1 - Mauß, Fabian ED - Sens, Marc ED - Baar, Roland T1 - Modeling of Spray Combustion under Diesel Engine Conditions T2 - Proceedings of the 2nd Conference on Engine Processes, July 2–3, 2015, Berlin, Germany KW - Modeling of Spray Combustion Y1 - 2015 SN - 978-3-7983-2768-9 SP - 217 EP - 249 PB - Universitätsverlag der TU Berlin CY - Berlin ER - TY - CHAP A1 - Pasternak, Michal A1 - Mauß, Fabian A1 - Matrisciano, Andrea ED - Sens, Marc ED - Baar, Roland T1 - Diesel Engine Performance Mapping Using Stochastic Reactor Model T2 - Proceedings of the 2nd Conference on Engine Processes, July 2–3, 2015, Berlin, Germany KW - Diesel Engine Performance Mapping Y1 - 2015 SN - 978-3-7983-2768-9 SP - 217 EP - 232 PB - Tech. Univ., Universitätsverlag CY - Berlin ER - TY - GEN A1 - Matrisciano, Andrea A1 - Pasternak, Michal A1 - Wang, Xiaoxiao A1 - Antoshkiv, Oleksiy A1 - Mauß, Fabian A1 - Berg, Peter T1 - On the Performance of Biodiesel Blends – Experimental Data and Simulations Using a Stochastic Fuel Test Bench T2 - SAE Technical Papers Y1 - 2014 U6 - https://doi.org/10.4271/2014-01-1115 SN - 0148-7191 SN - 0096-5170 IS - 2014-01-1115 SP - 1 EP - 8 ER - TY - GEN A1 - Svensson, Erik A1 - Li, Changle A1 - Shamun, Sam A1 - Johansson, Bengt A1 - Tuner, Martin A1 - Perlman, Cathleen A1 - Lehtiniemi, Harry A1 - Mauß, Fabian T1 - Potential Levels of Soot, NOx , HC and CO for Methanol Combustion T2 - SAE Technical Papers N2 - Methanol is today considered a viable green fuel for combustion engines because of its low soot emissions and the possibility of it being produced in a CO2-neutral manner. Methanol as a fuel for combustion engines have attracted interest throughout history and much research was conducted during the oil crisis in the seventies. In the beginning of the eighties the oil prices began to decrease and interest in methanol declined. This paper presents the emission potential of methanol. T-Φ maps were constructed using a 0-D reactor with constant pressure, temperature and equivalence ratio to show the emission characteristics of methanol. These maps were compared with equivalent maps for diesel fuel. The maps were then complemented with engine simulations using a stochastic reactor model (SRM), which predicts end-gas emissions. The SRM was validated using experimental results from a truck engine running in Partially Premixed Combustion (PPC) mode at medium loads. The SRM was able to predict the combustion in terms of pressure trace and rate of heat release. The CO and NOx emissions were matched, however, the HC emissions were underestimated. Finally, the trajectories from the SRM simulations were superimposed on the T-Φ maps to investigate the in engine conditions. The T-Φ map analysis shows that emission of soot are non-existent, formaldehyde can be avoided and that emissions of methane are kept at, compared to diesel combustion, low levels, however CO and NOx levels are similar to diesel combustion. These results were confirmed for engine conditions by the SRM simulations and the engine experiments. KW - Potential Levels of Soot KW - Methanol Combustion Y1 - 2016 U6 - https://doi.org/10.4271/2016-01-0887 SN - 0148-7191 SN - 0096-5170 IS - 2016-01-0887 SP - 17 Seiten ER - TY - GEN A1 - Franken, Tim A1 - Mauß, Fabian T1 - Development of Methodology for Predictive Diesel Combustion Simulation Using 0D Stochastic Reactor Model T2 - SAE Technical Papers N2 - Stringent exhaust emission limits and new vehicle test cycles require sophisticated operating strategies for future diesel engines. Therefore, a methodology for predictive combustion simulation, focused on multiple injection operating points is proposed in this paper. The model is designated for engine performance map simulations, to improve prediction of NOx, CO and HC emissions.The combustion process is calculated using a zero dimensional direct injection stochastic reactor model based on a probability density function approach. Further, the formation of exhaust emissions is described using a detailed reaction mechanism for n-heptane, which involves 56 Species and 206 reactions. The model includes the interaction between turbulence and chemistry effects by using a variable mixing time profile. Thus, one is able to capture the effects of mixture inhomogeneities on NOx, CO and HC emission formation.The mixing time model is parameterized using transfer functions for engine operating parameters, e.g., injection mass, injection duration, air fuel ratio, start of injection and speed. These functions are calibrated for nine operating points using multi objective simulated annealing optimization combined with fast running metamodels that speed up the optimization process. The calibrated transfer functions are validated for nine additional operating points. The results for the calibration and validation points show a good match of the combustion heat release rate. Especially the main injection heat release rate is well predicted by the model. The NOx and CO emissions reflect the experimental trends and are in close range to the measurements. Finally, the model is tested for triple injection operating points. The results match the measurements, which show the applicability of the stochastic reactor model in conjunction with the mixing time transfer functions for engine performance map simulations. KW - Mathematical analysis KW - Diesel / Compression Ignition engines Y1 - 2016 U6 - https://doi.org/10.4271/2016-01-0566 SN - 0148-7191 SN - 0096-5170 IS - 2016-01-0566 SP - 14 Seiten ER - TY - GEN A1 - Lehtiniemi, Harry A1 - Borg, Anders A1 - Mauß, Fabian T1 - Combustion Modeling of Diesel Sprays T2 - SAE Technical Papers N2 - Several models for ignition, combustion and emission formation under diesel engine conditions for multi-dimensional computational fluid dynamics have been proposed in the past. It has been recognized that the use of a reasonably detailed chemistry model improves the combustion and emission prediction especially under low temperature and high exhaust gas recirculation conditions.The coupling of the combustion chemistry and the turbulent flow can be achieved with different assumptions. In this paper we investigate a selection of n-heptane spray experiments published by the Engine Combustion Network (ECN spray H) with three different combustion models: well-stirred reactor model, transient interactive flamelet model and progress variable based conditional moment closure. All models cater for the use of detailed chemistry, while the turbulence-chemistry interaction modeling and the ability to consider local effects differ.The same chemical mechanism is used by all combustion models, which allows a comparison of ignition delay, flame stabilization and flame lift-off length between the experiments and the results from simulations using the different combustion models. The investigated parameters influence the predictions of computational fluid dynamics simulations of diesel engines. This study indicates that the most reasonable behavior with respect to ignition, flame stabilization and flame structure is predicted by the progress variable based conditional moment closure model. KW - Modeling of Diesel Sprays Y1 - 2016 U6 - https://doi.org/10.4271/2016-01-0592 SN - 0148-7191 SN - 0096-5170 IS - 2016-01-0592 SP - 1 EP - 11 ER - TY - CHAP A1 - Mauß, Fabian A1 - Matrisciano, Andrea T1 - SRM in Engines: Performance and Emissions T2 - 3rd International Combustion Institute Summer School, June 19-23, Chania, Greece KW - Stochastic Reactor Models Y1 - 2016 UR - http://iciss2016.gr/site/wp-content/uploads/2016/05/ICISS_Mauss-Matrisciano_Abstract_Tutorial.pdf ER -