TY - GEN A1 - Mauß, Fabian A1 - Løvås, Terese A1 - Malik, Nadeem T1 - Global reaction mechanism for ethylene flames with preferential diffusion Y1 - 2010 ER - TY - GEN A1 - Mauß, Fabian A1 - Malik, Nadeem A1 - Løvås, Terese T1 - The Effect of Preferential Diffusion on the Soot Initiation Process in Ethylene Diffusion Flames T2 - Flow Turbulence and Combustion Y1 - 2011 SN - 1386-6184 VL - 87 IS - 2-3 SP - 293 EP - 312 ER - TY - CHAP A1 - Mauß, Fabian A1 - Løvås, Terese A1 - Soyhan, H. S. T1 - "Reduction of Complex Fuel Chemistry for Simulation of Combustion in a PSR-PFR reactor sequence" Y1 - 2001 ER - TY - JOUR A1 - Mauß, Fabian A1 - Løvås, Terese A1 - Amnéus, Per A1 - Mastorakos, Epaminondas T1 - "Comparison of Automatic Reduction Procedures for Ignition Chemistry" Y1 - 2002 ER - TY - GEN A1 - Mauß, Fabian A1 - Løvås, Terese A1 - Nilsson, D. T1 - Automatic Reduction Procedure for Chemical Mechanisms Applied to Premixed Methane-Air Flames T2 - Symposium (International) on Combustion Y1 - 2000 SN - 0082-0784 VL - 28 IS - 2 SP - 1809 EP - 1815 ER - TY - CHAP A1 - Mauß, Fabian A1 - Løvås, Terese A1 - Hasse, C. A1 - Peters, Norbert T1 - "Modelling of HCCI Combustion using Adaptive Chemical Kinetics" Y1 - 2002 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 - Weber, Kathrin A1 - Li, T. A1 - Løvås, Terese A1 - Perlman, Cathleen A1 - Seidel, Lars A1 - Mauß, Fabian T1 - Stochastic reactor modeling of biomass pyrolysis and gasification T2 - Journal of analytical and applied pyrolysis N2 - Abstract In this paper, a partially stirred stochastic reactor model is presented as an alternative for the modeling of biomass pyrolysis and gasification. Instead of solving transport equations in all spatial dimensions as in CFD simulations, the description of state variables and mixing processes is based on a probability density function, making this approach computationally efficient. The virtual stochastic particles, an ensemble of flow elements consisting of porous solid biomass particles and surrounding gas, mimic the turbulent exchange of heat and mass in practical systems without the computationally expensive resolution of spatial dimensions. Each stochastic particle includes solid phase, pore gas and bulk gas interaction. The reactor model is coupled with a chemical mechanism for both surface and gas phase reactions. A Monte Carlo algorithm with operator splitting … KW - Pyrolysis KW - gasification KW - Stochastic reactor modeling Y1 - 2017 U6 - https://doi.org/10.1016/j.jaap.2017.01.003 SN - 0165-2370 VL - 124 SP - 592 EP - 601 ER - TY - CHAP A1 - Lovas, Terese A1 - Blurock, Edward S. A1 - Mauß, Fabian ED - Bathe, Klaus-Jürgen T1 - Towards Dynamically Reduced Mechanisms based on Domain Splitting T2 - Computational fluid and solid mechanics 2003, proceedings Second MIT Conference on Computational Fluid and Solid Mechanics, June 17 - 20, 2003 Y1 - 2003 SN - 978-0-08-044046-0 SP - 1430 EP - 1433 PB - Elsevier CY - Amsterdam [u.a.] ER - TY - JOUR A1 - Mauß, Fabian A1 - Løvås, Terese A1 - Hasse, C. A1 - Peters, Norbert T1 - "Development of Adaptive Kinetics for Application in Combustion Systems" Y1 - 2002 ER - TY - CHAP A1 - Blurock, Edward S. A1 - Lovas, Terese A1 - Mauß, Fabian T1 - Steady State Reduced Mechanisms based on Domain Splitting T2 - Proceedings of the 19th International Conference on the Dynamics of Explosions and Reactive Systems, Hakone, July 27 - August 1, 2003 Y1 - 2003 N1 - CD-ROM CY - Hakone ER - TY - CHAP A1 - Lovas, Terese A1 - Blurock, Edward S. A1 - Mauß, Fabian T1 - Automatic Reduced Mechanisms based on Domain Splitting Methods T2 - Proceedings of the European Combustion Meeting "ECM 2003", Orléans, France, October 25-28, 2003 Y1 - 2003 N1 - CD-ROM CY - Orléans ER - TY - CHAP A1 - Mauß, Fabian A1 - Soyhan, H. S. A1 - Løvås, Terese T1 - "A Stochastic Simulation of an HCCI Engine Using an Automatically Reduced Mechanism" Y1 - 2001 ER - TY - CHAP A1 - Mauß, Fabian A1 - Nilsson, Daniel A1 - Løvås, Terese A1 - Amnéus, Per T1 - "Reduction of Complex Fuel Chemistry for Simulation of Combustion in HCCI Engines" Y1 - 1999 ER - TY - CHAP A1 - Mauß, Fabian A1 - Soyhan, Hakan Serhad A1 - Amnéus, Per A1 - Løvås, Terese A1 - Nilsson, Daniel A1 - Maigaard, Peter A1 - Sorusbay, Cem T1 - "Automatic Reduction of Detailed Chemical Reaction Mechanisms for Autoignition under SI Engine Conditions" Y1 - 2000 ER -