TY - GEN A1 - Franken, Tim A1 - Duggan, Alexander A1 - Matrisciano, Andrea A1 - Lehtiniemi, Harry A1 - Borg, Anders A1 - Mauß, Fabian T1 - Multi-Objective Optimization of Fuel Consumption and NO x Emissions with Reliability Analysis Using a Stochastic Reactor Model T2 - SAE Technical Paper N2 - The introduction of a physics-based zero-dimensional stochastic reactor model combined with tabulated chemistry enables the simulation-supported development of future compression-ignited engines. The stochastic reactor model mimics mixture and temperature inhomogeneities induced by turbulence, direct injection and heat transfer. Thus, it is possible to improve the prediction of NOx emissions compared to common mean-value models. To reduce the number of designs to be evaluated during the simulation-based multi-objective optimization, genetic algorithms are proven to be an effective tool. Based on an initial set of designs, the algorithm aims to evolve the designs to find the best parameters for the given constraints and objectives. The extension by response surface models improves the prediction of the best possible Pareto Front, while the time of optimization is kept low. This work presents a novel methodology to couple the stochastic reactor model and the Non-dominated Sorting Genetic Algorithm. First, the stochastic reactor model is calibrated for 10 low, medium and high load operating points at various engine speeds. Second, each operating point is optimized to find the lowest fuel consumption and specific NOx emissions. The optimization input parameters are the temperature at intake valve closure, the compression ratio, the start of injection, the injection pressure and exhaust gas recirculation rate. Additionally, it is ensured that the maximum peak cylinder pressure and turbine inlet temperature are not exceeded. This enables a safe operation of the engine and exhaust aftertreatment system under the optimized conditions. Subsequently, a reliability analysis is performed to estimate the effect of off-nominal conditions on the objectives and constraints. The novel multi-objective optimization methodology has proven to deliver reasonable results. The zero-dimensional stochastic reactor model with tabulated chemistry is a fast running physics-based model that allow to run large optimization problems in a short amount of time. The combination with the reliability analysis also strengthens the confidence in the simulation-based optimized engine operation parameters. Y1 - 2019 U6 - https://doi.org/10.4271/2019-01-1173 SN - 0148-7191 SN - 2688-3627 ER - TY - GEN A1 - Kurapati, Vinaykumar Reddy A1 - Borg, Anders A1 - Seidel, Lars A1 - Mauß, Fabian T1 - Fast CFD Diesel engine modelling using the 1-Dimentional SprayLet approach T2 - SAE Technical Paper N2 - In the SAE article 2023-24-0083: SprayLet: One-dimensional interactive cross-sectionally averaged spray model, we formulatet a one-dimensional Spray model in interaction with the surrounding gas phase. We could demonstrate, that the model predicted liquid and gaseous penetration length in good aggreement with ECN spray experiments. In this paper we use this model in engine CFD (CONVERGE CFD) and demonstrate a strong reduction in CPU time (50%). We can show a strong decrease in grid dependency, which allows a further reduction of CPU time (90%). We will present engine CFD simulations, comparing detailed spray with SpayLet simulations. This includes pressure traces, heat release, and emissions. Y1 - 2024 UR - https://www.sae.org/publications/technical-papers/content/2024-01-2684/ SN - 0148-7191 SN - 2688-3627 IS - 2024-01-2684 ER - TY - GEN A1 - Kurapati, Vinaykumar Reddy A1 - Borg, Anders A1 - Seidel, Lars A1 - Mauß, Fabian T1 - SprayLet: One-Dimensional Interactive Cross-Sectionally Averaged Spray Model T2 - SAE Technical Paper N2 - Spray modeling is among the main aspects of mixture formation and combustion in internal combustion engines. It plays a major role in pollutant formation and energy efficiency although adequate modeling is still under development. Strong grid dependence is observed in the droplet-based stochastic spray model commonly used. As an alternative, an interactive model called 'SprayLet' is being developed for spray simulations based on one-dimensional integrated equations for the gas and liquid phases, resulting from cross-sectionally averaging of multi-dimensional transport equations to improve statistical convergence. The formulated one-dimensional cross-section averaged system is solved independently of the CFD program to provide source terms for mass, momentum and heat transfer between the gas and liquid phases. The transport processes take place in a given spray cone where the nozzle exit is automatically resolved. In the 1D program, the conservation equations are for droplet diameter, droplet temperature, as well as for continuity and momentum of the liquid and the gaseous phase are solved. The source terms between the phases are conservatively embedded into the spray region of the CFD program. In CFD program, the transport equations are solved for gas phase only. The SprayLet model is validated using standard Sandia sprays by comparing penetration lengths and fuel mixture fractions with experimental data. Y1 - 2023 U6 - https://doi.org/10.4271/2023-24-0083 SN - 0148-7191 SN - 2688-3627 ER - TY - GEN A1 - Manna, Maria Virginia A1 - Sabia, Pino A1 - Shrestha, Krishna Prasad A1 - Seidel, Lars A1 - Ragucci, Raffaele A1 - Mauß, Fabian A1 - De Joannon, Mara T1 - NH3NO interaction at low-temperatures: an experimental and modeling study T2 - Proceedings of the Combustion Institute N2 - The present work provides new insight into NH3single bondNO interaction under low-temperature conditions. The oxidation process of neat NH3 and NH3 doped with NO (450, 800 ppm) was experimentally investigated in a Jet Stirred Flow Reactor at atmospheric pressure for the temperature range 900–1350 K. Results showed NO concentration is entirely controlled by DeNOx reactions in the temperature range 1100–1250 K, while NH3single bondNO interaction does not develop through a sensitizing NO effect, for these operating conditions. A detailed kinetic model was developed by systematically updating rate constants of controlling reactions and declaring new reactions for N2H2 isomers (cis and trans). The proposed mechanism well captures target species as NO and H2 profiles. For NH3single bondNO mixtures, NO profiles were properly reproduced through updated DeNOx chemistry, while NH2 recombination reactions were found to be essential for predicting the formation of H2. The role of ammonia as a third-body species is implemented in the updated mechanism, with remarkable effects on species predictions. For neat NH3 mixture, the reaction H+O2(+M)=HO2(+M) was crucial to predict NO formation via the reaction NH2+HO2double bondH2NO+OH. Y1 - 2023 U6 - https://doi.org/10.1016/j.proci.2022.09.027 SN - 1873-2704 VL - 39 IS - 1 SP - 775 EP - 784 ER - TY - GEN A1 - Mante, Till A1 - Prehn, Sascha A1 - Theile, Martin A1 - Seidel, Lars A1 - Mestre, Laura A1 - Buchholz, Bert A1 - Mauß, Fabian ED - Heintzel, Alexander T1 - Investigation of An Ammonia Diesel Dual-Fuel Combustion Process on a Heavy-Duty Single Cylinder Research Engine for the Development of Suitable Simulation Tools for Maritime Applications T2 - Heavy-Duty-, On- und Off-Highway-Motoren 2022 : Stand der Energiewende im Heavy-Duty-Bereich N2 - This paper discusses the adaption of a single cylinder research engine for a retrofit application with an ammonia diesel dual-fuel combustion process and the build of an ammonia fuel system. The gaseous ammonia will be injected in the air intake pipe and the premixed ammonia air mixture will enter the combustion chamber. The diesel injection is carried out via a high-pressure common rail system. All relevant parameters can be freely adjusted via a freely programmable control unit. With the help of experimental data from a single cylinder research engine at the chair of piston machines and internal combustion engines of the University of Rostock (LKV), a dual-fuel combustion model based on detailed chemistry will be developed and optimized. This model will be integrated in a full research engine model, which ensures the best possible representation of the real engine. The combustion model is being developed by LOGE Deutschland GmbH. The full research engine model is developed by FVTR GmbH. The analysis of the combustion process starts with pure diesel operating points and is successively substituted by ammonia in the course of the measurement campaigns. Both the combustion characteristics are relevant, as they significantly influence the resulting performance and engine operation, as well as the exhaust emissions, as the carbon emissions can be reduced, but the nitrogen oxides and ammonia slip increase significantly in relevance due to the ammonia. The results obtained will be used to derive initial recommendations for action and to estimate the potential for application in the inland waterway shipping. In addition, the development of the systematic simulation tools covers a broad spectrum of research questions and aims to increase the efficiency of the necessary R&D. Y1 - 2022 SN - 978-3-658-41477-1 SN - 978-3-658-41476-4 U6 - https://doi.org/10.1007/978-3-658-41477-1_3 SP - 24 EP - 39 PB - Springer Vieweg CY - Wiesbaden ER - TY - GEN A1 - Turquand d'Auzay, Charles A1 - Shapiro, Evgeniy A1 - Prouvier, Matthieu A1 - Winkler, Axel A1 - Seidel, Lars A1 - Borg, Anders A1 - Mauß, Fabian T1 - Evaluation of Fast Detailed Kinetics Calibration Methodology for 3D CFD Simulations of Spray Combustion T2 - SAE Technical Paper N2 - Meeting strict current and future emissions legislation necessitates development of computational tools capable of predicting the behaviour of combustion and emissions with an accuracy sufficient to make correct design decisions while keeping computational cost of the simulations amenable for large-scale design space exploration. While detailed kinetics modelling is increasingly seen as a necessity for accurate simulations, the computational cost can be often prohibitive, prompting interest in simplified approaches allowing fast simulation of reduced mechanisms at coarse grid resolutions appropriate for internal combustion engine simulations in design context. In this study we present a simplified Well-stirred Reactor (WSR) implementation coupled with 3D CFD Ricardo VECTIS solver. A detailed evaluation of benchmark ECN spray problem is presented demonstrating that a single point calibration of such a model using a bulk reaction multiplier approach can provide correct representation of the solution across a wide range of temperatures on grid sizes typically employed for RANS internal combustion engine simulations with tabulated kinetics or zonal combustion models. Y1 - 2022 U6 - https://doi.org/10.4271/2022-01-1042 SN - 0148-7191 SN - 0096-5170 IS - 2022-01-1042 ER - TY - GEN A1 - Van Treek, Lisa A1 - Lubrano Lavadera, Marco A1 - Seidel, Lars A1 - Mauß, Fabian A1 - Konnov, Alexander A. T1 - Experimental and modelling study of laminar burning velocity of aqueous ethanol T2 - Fuel N2 - Laminar burning velocities of ethanol-water-air mixtures have been determined using the heat flux method. Aqueous ethanol contained 0–40% of water by mole fraction. Laminar premixed flat flames were stabilized on a perforated burner under adiabatic conditions for the equivalence ratio range from 0.7 to 1.4. Burning velocity measurements were performed for the initial gas temperature of 358 K and at atmospheric pressure. The results for ethanol-air flames are in good agreement with the previous data obtained using the same heat flux method. The present and literature experimental data were compared against predictions using four different kinetic models. All models show uniform behaviour over the range of ethanol dilution by water covered in the present study. However, model predictions significantly diverge from the experimental data obtained in spherical flames. To quantify the effect of dilution on the laminar burning velocity, an empirical dimensionless correlation has been derived from the experimental data and predictions of the models tested. Further numerical analyses were performed to identify the effects of water addition on laminar burning velocities. Results suggested that water strongly interacts with the H2/O2 and C1 oxidation/recombination routes. Y1 - 2019 U6 - https://doi.org/10.1016/j.fuel.2019.116069 SN - 1873-7153 VL - 257 ER - TY - GEN A1 - Hilbig, Martin A1 - Malliotakis, Zisis A1 - Seidel, Lars A1 - Vourliotakis, George A1 - Keramiotis, Christos A1 - Mauß, Fabian A1 - Founti, Maria T1 - The effect of base chemistry choice in a generated n‐hexane oxidation model using an automated mechanism generator T2 - International Journal of Chemical Kinetics N2 - The present study describes the utilization of a reaction mechanism generator for the development of chemical kinetic models. The aim of the investigation is twofold. The in-house developed mechanism generator is updated with reaction classes reported in the literature, and the effect of the lower hydrocarbon chemistry, that is, base chemistry, on the generation process is assessed. For this purpose, the algorithm is implemented on two different base chemistry mechanisms, that have previously been validated against a different range of hydrocarbons, that is, the mechanisms of the groups coauthoring the study. n-Hexane has been used as a modeling target due to its important role in combustion studies as a surrogate for engine and aviation applications. The steps of the generation process are given in detail as this is the first time the current algorithm is utilized. The two generated mechanisms are compared against speciation data, ignition delay times, and flame velocities from the literature. The overall agreement of the generated mechanisms is satisfying; discrepancies exist in the negative temperature coefficient regime. Reaction path analysis and sensitivity analysis were performed, revealing the reactions that cause the different mechanism performance. Among others, the study reveals that the generated schemes pose a fast and adequate alternative to literature mechanisms; it is however evident that the latter may include more detailed reaction paths and are therefore superior in terms of validation. Y1 - 2019 U6 - https://doi.org/10.1002/kin.21309 SN - 1097-4601 SN - 0538-8066 VL - 51 IS - 10 SP - 786 EP - 798 ER - TY - GEN A1 - Richter, Jana A1 - Günther, Vivien A1 - Mauß, Fabian T1 - Reaction mechanism development and investigation on the convergence influence in a 1D catalyst model for a γ-alumina stabilized three-way catalyst T2 - The Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines N2 - Accurate and computational cost-effective modeling tools for the optimization of processes and devices of all kinds are needed in nearly all scientific fields. While experimental optimization entails high expenses in terms of cost and time virtual optimization may be a promising alternative. In this work, the suitability and accuracy of a 1D heterogeneous catalytic model is investigated. First, the influence of cell discretization and residence time on the convergence in a 1D catalyst model are investigated. Second, the catalyst model is investigated and validated with use of a stoichiometric steady state three-way catalyst experiment. With the help of these investigations the reaction mechanism is further developed and new reaction rates for two reactions are presented. The modeling results are compared to a 2D simulation approach in terms of computational time and catalyst conversion behavior. The presented model is capable to capture the experimental results with a drastically reduced computational time in comparison to the 2D simulation presented in literature. Y1 - 2022 UR - https://www.jstage.jst.go.jp/article/jmsesdm/2022.10/0/2022.10_A10-3/_article/-char/en U6 - https://doi.org/10.1299/jmsesdm.2022.10.A10-3 SN - 2424-2918 ER - TY - GEN A1 - Mai, Tam V.-T. A1 - Bui, Thanh Q. A1 - Nhung, Nguyen Thi Ai A1 - Quy, Phan Tu A1 - Shrestha, Krishna Prasad A1 - Mauß, Fabian A1 - Giri, Binod Raj A1 - Huynh, Lam Kim T1 - An Ab Initio RRKM-Based Master Equation Study for Kinetics of OH-Initiated Oxidation of 2-Methyltetrahydrofuran and Its Implications in Kinetic Modeling T2 - Energies N2 - Cyclic ethers (CEs) can be promising future biofuel candidates. Most CEs possess physico-chemical and combustion indicators comparable to conventional fuels, making them suitable for internal combustion engines. This work computationally investigates the kinetic behaviors of hydrogen abstraction from 2-methyl tetrahydrofuran (2MTHF), one of the promising CEs, by hydroxyl radicals under combustion and atmospheric relevant conditions. The various reaction pathways were explored using the CCSD(T)/cc-pVTZ//M06-2X/aug-cc-pVTZ level of theory. The Rice–Ramsperger–Kassel–Marcus-based master equation (RRKM-ME) rate model, including treatments for hindered internal rotation and tunneling, was employed to describe time-dependent species profiles and pressure and temperature-dependent rate coefficients. Our kinetic model revealed that the H-abstraction proceeds via an addition-elimination mechanism forming reaction complexes at both the entrance and exit channels. Eight different reaction channels yielding five radical products were located. The reaction exhibited complex kinetics yielding a U-shaped Arrhenius behavior. An unusual occurrence of negative temperature dependence was observed at low temperatures, owing to the negative barrier height for the hydrogen abstraction reaction from the C-H bond at the vicinity of the O-atom. A shift in the reaction mechanism was observed with the dominance of the abstraction at Cα-H of 2MTHF ring (causing negative-T dependence) and at CH3 (positive-T dependence) at low and high temperatures, respectively. Interestingly, the pressure effect was observed at low temperatures, revealing the kinetic significance of the pre-reaction complex. Under atmospheric pressure, our theoretical rate coefficients showed excellent agreement with the available literature data. Our model nicely captured the negative temperature-dependent behaviors at low temperatures. Our predicted global rate coefficients can be expressed as k (T, 760 Torr) = 3.55 × 101 × T−4.72 × exp [−340.0 K/T] + 8.21 × 10−23 × T3.49 × exp [918.8 K/T] (cm3/molecule/s). Our work provides a detailed kinetic picture of the OH-initiated oxidation kinetics of 2MTHF. Hence, this information is useful for building a kinetic me chanism for methylated cyclic ethers. KW - ab initio KW - RRKM-ME calculations KW - 2-methyl tetrahydrofuran KW - OH radicals KW - kinetic modeling Y1 - 2023 U6 - https://doi.org/10.3390/en16093730 SN - 1996-1073 VL - 16 IS - 9 ER - TY - GEN A1 - Siddareddy, Reddy Babu A1 - Franken, Tim A1 - Pasternak, Michal A1 - Leon de Syniawa, Larisa A1 - Oder, Johannes A1 - Rottengruber, Hermann A1 - Mauß, Fabian T1 - Real-Time Simulation of CNG Engine and After-Treatment System Cold Start. Part 1: Transient Engine-Out Emission Prediction Using a Stochastic Reactor Model T2 - SAE Technical Paper N2 - During cold start of natural gas engines, increased methane and formaldehyde emissions can be released due to flame quenching on cold cylinder walls, misfiring and the catalyst not being fully active at low temperatures. Euro 6 legislation does not regulate methane and formaldehyde emissions. New limits for these two pollutants have been proposed by CLOVE consortium for Euro 7 scenarios. These proposals indicate tougher requirements for aftertreatment systems of natural gas engines. In the present study, a zero-dimensional model for real-time engine-out emission prediction for transient engine cold start is presented. The model incorporates the stochastic reactor model for spark ignition engines and tabulated chemistry. The tabulated chemistry approach allows to account for the physical and chemical properties of natural gas fuels in detail by using a-priori generated laminar flame speed and combustion chemistry look-up tables. The turbulence-chemistry interaction within the combustion chamber is predicted using a K-k turbulence model. The optimum turbulence model parameters are trained by matching the experimental cylinder pressure and engine-out emissions of nine steady-state operating points. Subsequently, the trained engine model is applied for predicting engine-out emissions of a WLTP passenger car engine cold start. The predicted engine-out emissions comprise nitrogen oxide, carbon monoxide, carbon dioxide, unburnt methane, formaldehyde, and hydrogen. The simulation results are validated by comparing to transient engine measurements at different ambient temperatures (-7°C, 0°C, 8°C and 20°C). Additionally, the sensitivity of engine-out emissions towards air-fuel-ratio (λ=1.0 and λ=1.3) and natural gas quality (H-Gas and L-Gas) is investigated. KW - Spark Ignition Engines KW - Gas Engines KW - Alternative Fuel Engines KW - Natural Gas KW - Nitrogen Oxides KW - Cold Start KW - Carbon Monoxide KW - Methane KW - Formaldehyde KW - Simulation KW - Stochastic Reactor Model KW - Tabulated Chemistry Y1 - 2023 U6 - https://doi.org/10.4271/2023-01-0183 SN - 2688-3627 SN - 0148-7191 ER - TY - GEN A1 - Leon de Syniawa, Larisa A1 - Siddareddy, Reddy Babu A1 - Oder, Johannes A1 - Franken, Tim A1 - Günther, Vivien A1 - Rottengruber, Hermann A1 - Mauß, Fabian T1 - Real-Time Simulation of CNG Engine and After-Treatment System Cold Start. Part 2: Tail-Pipe Emissions Prediction Using a Detailed Chemistry Based MOC Model T2 - SAE Technical Report N2 - In contrast to the currently primarily used liquid fuels (diesel and gasoline), methane (CH4) as a fuel offers a high potential for a significant reduction of greenhouse gas emissions (GHG). This advantage can only be used if tailpipe CH4 emissions are reduced to a minimum, since the GHG impact of CH4 in the atmosphere is higher than that of carbon dioxide (CO2). Three-way catalysts (TWC - stoichiometric combustion) and methane oxidation catalysts (MOC - lean combustion) can be used for post-engine CH4 oxidation. Both technologies allow for a nearly complete CH4 conversion to CO2 and water at sufficiently high exhaust temperatures (above the light-off temperature of the catalysts). However, CH4 combustion is facing a huge challenge with the planned introduction of Euro VII emissions standard, where stricter CH4 emission limits and a decrease of the cold start starting temperatures are discussed. The aim of the present study is to develop a reliable kinetic catalyst model for MOC conversion prediction in order to optimize the catalyst design in function of engine operation conditions, by combining the outputs from the predicted transient engine simulations as inputs to the catalyst model. Model development and training has been performed using experimental engine test bench data at stoichiometric conditions as well as engine simulation data and is able to reliably predict the major emissions under a broad range of operating conditions. Cold start (-7°C and +20°C) experiments were performed for a simplified worldwide light vehicle test procedure (WLTP) driving cycle using a prototype gas engine together with a MOC. For the catalyst simulations, a 1-D catalytic converter model was used. The model includes detailed gas and surface chemistry that are computed together with catalyst heat up. In a further step, a virtual transient engine cold start cycle is combined with the MOC model to predict tail-pipe emissions at transient operating conditions. This method allows to perform detailed emission investigations in an early stage of engine prototype development. KW - Exhaust Emissions KW - Tail Pipe Emissions KW - Three Way Catalyst KW - Gas Engines KW - Cold Start KW - Simulation KW - Detailed Chemistry KW - Methane Oxidation Catalyst KW - Methane KW - Co-Simulation KW - Catalysts Y1 - 2023 U6 - https://doi.org/10.4271/2023-01-0364 SN - 2688-3627 SN - 0148-7191 ER - TY - GEN A1 - Rakhi, Rakhi A1 - Günther, Vivien A1 - Mauß, Fabian T1 - A detailed surface reaction mechanism to investigate oxidation of methane over nickel catalyst T2 - Proceedings in Applied Mathematics & Mechanics : PAMM N2 - We have developed a kinetically consistent detailed surface reaction mechanism for modeling the oxidation of methane over a nickel-based catalyst. A one-dimensional model, LOGEcat based on the single-channel 1D catalyst model, is used to perform the simulations. The original multi-step reaction mechanism is thermodynamically consistent and consists of 52 reactions. By thermodynamic consistency, we mean that the equilibrium is achieved with the support of the Arrhenius parameters and does not depend on the thermochemistry of the species involved in the considered reactions. The detailed mechanism developed in this investigation contains 26 reversible reactions. These reactions are obtained with the use of the thermochemistry of the species. The study focuses on ensuring kinetic consistency and this is done with the help of thermodynamic analysis by bringing the thermochemistry of the species in play in order to develop a surface reaction mechanism. The new mechanism can be used to understand the other processes, for example, steam- and dry-reforming of methane over nickel, however, the main focus of the paper is to check the performance of the detailed mechanism for catalytic partial oxidation of methane. The applicability of the mechanism is checked for various reactor conditions in terms of parameters such as temperature and pressure by comparing the results with the available reference data. The detailed mechanism developed in this study is able to accurately express oxidation of methane over the nickel catalyst for the considered reactor conditions. Y1 - 2023 U6 - https://doi.org/10.1002/pamm.202200055 SN - 1617-7061 N1 - Special Issue: 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) VL - 22 IS - 1 ER - TY - GEN A1 - Rakhi, Rakhi A1 - Günther, Vivien A1 - Mauß, Fabian T1 - Insights into dry reforming of methane over nickel catalyst using a thermodynamic model T2 - Reaction Kinetics, Mechanisms and Catalysis N2 - A thermodynamic model is developed using a one-dimensional model, LOGEcat to understand the dry reforming of methane over nickel-based catalysts. To do so, we have extended our previously developed mechanism (Rakhi and Shrestha in React Kinet, Mech Catal 135:3059–3083, 2022) which contains 21 reversible reactions by adding 5 more reversible reactions and updating the thermochemistry of one intermediate species. The adjusted mechanism contains 26 reversible reactions obtained with the help of thermodynamic analysis. This study focuses on using the thermodynamic model for dry reforming of methane and insights into the reaction pathways and sensitivity analysis for the kinetically consistent surface reaction mechanism. The applicability of the mechanism is examined for reactor conditions in terms of parameters such as temperature by comparing the results with the available reference data. The mechanism is able to accurately express the reforming conditions of methane over the nickel catalyst for complete range of temperature and also provide useful insights into the reaction pathways established with the thermodynamic model. Y1 - 2023 U6 - https://doi.org/10.1007/s11144-023-02426-8 SN - 1878-5204 SN - 1878-5190 ER - TY - GEN A1 - Siddareddy, Reddy Babu A1 - Franken, Tim A1 - Leon de Syniawa, Larisa A1 - Pasternak, Michal A1 - Prehn, Sascha A1 - Buchholz, Bert A1 - Mauß, Fabian T1 - Simulation of CNG Engine in Agriculture Vehicles. Part 1: Prediction of Cold Start Engine-Out Emissions Using Tabulated Chemistry and Stochastic Reactor Model T2 - SAE Technical Paper N2 - Worldwide, there is the demand to reduce harmful emissions from non-road vehicles to fulfill European Stage V+ and VI (2022, 2024) emission legislation. The rules require significant reductions in nitrogen oxides (NOx), methane (CH4) and formaldehyde (CH2O) emissions from non-road vehicles. Compressed natural gas (CNG) engines with appropriate exhaust aftertreatment systems such as threeway catalytic converter (TWC) can meet these regulations. An issue remains for reducing emissions during the engine cold start where the CNG engine and TWC yet do not reach their optimum operating conditions. The resulting complexity of engine and catalyst calibration can be efficiently supported by numerical models. Hence, it is required to develop accurate simulation models which can predict cold start emissions. This work presents a real-time engine model for transient engine-out emission prediction using tabulated chemistry for CNG. The engine model is based on a stochastic reactor model (SRM) which describes the in-cylinder processes of spark ignition (SI) engines including large-scale and lowscale turbulence, convective heat transfer, turbulent flame propagation and chemistry. Chemistry is described using a tabulated chemistry model which calculates the major exhaust gas emissions of CNG engines such as CO2, NOx, CO, CH4 and CH2O. By best practice, the engine model parameters are optimized by matching the experimental cylinder pressure and engine-out emissions from steady-state operating points. The engine model is trained for a non-road transient cycle (NRTC) cold start at 25°C ambient temperature and validated for a NRTC cold start at 10°C ambient temperature. The trained model is evaluated regarding their feasibility and accuracy predicting transient engineout emissions. KW - CNG engine KW - Cold start KW - Stochastic reactor model KW - Tabulated chemistry KW - Natural gas KW - Driving cycle Y1 - 2023 U6 - https://doi.org/10.4271/2023-24-0006 SN - 0148-7191 SN - 2688-3627 ER - TY - GEN A1 - Leon de Syniawa, Larisa A1 - Siddareddy, Reddy Babu A1 - Prehn, Sascha A1 - Günther, Vivien A1 - Franken, Tim A1 - Buchholz, Bert A1 - Mauß, Fabian T1 - Simulation of CNG Engine in Agriculture Vehicles. Part 2: Coupled Engine and Exhaust Gas Aftertreatment Simulations Using a Detailed TWC Model T2 - SAE Technical Paper N2 - In more or less all aspects of life and in all sectors, there is a generalized global demand to reduce greenhouse gas (GHG) emissions, leading to the tightening and expansion of existing emissions regulations. Currently, non-road engines manufacturers are facing updates such as, among others, US Tier 5 (2028), European Stage V (2019/2020), and China Non-Road Stage IV (in phases between 2023 and 2026). For on-road applications, updates of Euro VII (2025), China VI (2021), and California Low NOx Program (2024) are planned. These new laws demand significant reductions in nitrogen oxides (NOx) and particulate matter (PM) emissions from heavy-duty vehicles. When equipped with an appropriate exhaust aftertreatment system, natural gas engines are a promising technology to meet the new emission standards. Gas engines require an appropriate aftertreatment technology to mitigate additional GHG releases as natural gas engines have challenges with methane (CH4) emissions that have 28 times more global warming potential compared to CO2. Under stoichiometric conditions a three-way catalytic converter (TWC - stoichiometric combustion) can be used to effectively reduce emissions of harmful pollutants such as nitrogen oxides and carbon monoxide (CO) as well as GHG like methane. The aim of the present study is to understand the performance of the catalytic converter in function of the engine operation and coolant temperature in order to optimize the catalyst operating conditions. Different cooling temperatures are chosen as the initial device temperature highly affects the level of warm up emissions such that low coolant temperatures entail high emissions. In order to investigate the catalyst performance, experimental and virtual transient engine emissions are coupled with a TWC model to predict tail-pipe emissions at transient operating conditions. Engine experiments are conducted at two initial engine coolant temperatures (10°C and 25°C) to study the effects on the Non-Road Transient Cycle (NRTC) emissions. Engine simulations of combustion and emissions with acceptable accuracy and with low computational effort are developed using the Stochastic Reactor Model (SRM). Catalyst simulations are performed using a 1D catalytic converter model including detailed gas and surface chemistry. The initial section covers essential aspects including the engine setup, definition of the engine test cycle, and the TWC properties and setup. Subsequently, the study introduces the transient SI-SRM, 1D catalyst model, and kinetic model for the TWC. The TWC model is used for the validation of a NRTC at different coolant temperatures (10°C and 25°C) during engine start. Moving forward, the next section includes the coupling of the TWC model with measured engine emissions. Finally, a virtual engine parameter variation has been performed and coupled with TWC simulations to investigate the performance of the engine beyond the experimental campaign. Various engine operating conditions (lambda variation for this paper) are virtually investigated, and the performance of the engine can be extrapolated. The presented virtual development approach allows comprehensive emission evaluations during the initial stages of engine prototype development KW - CNG KW - Cold start KW - Afterteatment KW - Three-Way Catalyst KW - Surface chemistry KW - Simulation Y1 - 2023 U6 - https://doi.org/10.4271/2023-24-0112 SN - 0148-7191 SN - 2688-3627 ER - TY - GEN A1 - David, William I. F. A1 - Agnew, Gerry D. A1 - Bañares-Alcántara, René A1 - Barth, James A1 - Hansen, John Bogild A1 - Bréquigny, Pierre A1 - De Joannon, Mara A1 - Fürstenberg Stott, Sofia A1 - Fürstenberg Stott, Conor A1 - Guati-Rojo, Andrea A1 - Hatzell, Marta A1 - MacFarlane, Douglas R. A1 - Makepeace, Joshua W. A1 - Mastorakos, Epaminondas A1 - Mauß, Fabian A1 - Medford, Andrew A1 - Mounaim-Rousselle, Christine A1 - Nowicki, Duncan A. A1 - Picciani, Mark A. A1 - Postma, Rolf S. A1 - Rouwenhorst, Kevin H. R. A1 - Sabia, Pino A1 - Salmon, Nicholas A1 - Simonov, Alexandr N. A1 - Smith, Collin A1 - Torrente-Murciano, Laura A1 - Valera-Medina, Augustin T1 - 2023 Roadmap on ammonia as a carbon-free fuel T2 - Journal of Physics: Energy N2 - The 15 short chapters that form this 2023 ammonia-for-energy roadmap provide a comprehensive assessment of the current worldwide ammonia landscape and the future opportunities and associated challenges facing the use of ammonia, not only in the part that it can play in terms of the future displacement of fossil-fuel reserves towards massive, long-term, carbon-free energy storage and heat and power provision, but also in its broader holistic impacts that touch all three components of the future global food-water-energy nexus. Y1 - 2024 U6 - https://doi.org/10.1088/2515-7655/ad0a3a SN - 2515-7655 VL - 6 IS - 2 ER - TY - GEN A1 - Giri, Binod Raj A1 - Palacios, Manuel Monge A1 - Thangaraj, Ravikumar A1 - Shrestha, Krishna Prasad A1 - Viskolcz, Béla A1 - Mauss, Fabian A1 - Szőri, Milán T1 - An Ab initio based OH initiated oxidation kinetics of glycerol carbonate: A promising biofuel component T2 - Proceedings of the Combustion Institute N2 - The global energy demand is steadily increasing because of the population explosion and economic growth. Fossil fuels supply around 85 % of global primary energy demand. On one hand, fulfilling the increasing energy demands is a big challenge for the next few decades. On the other hand, the continued burning of fossil fuels leads to higher CO2 emissions, severely impacting global warming. Therefore, the policymakers vow to shift from conventional fuels to renewable resources for economic, environmental, and future energy security reasons. In this context, biofuels from lignocellulosic biomass and/or carbon-neutral fuels produced in the sustainable carbon cycle can close the carbon cycle and reach net zero-carbon emission. Recently, glycerol carbonate has been proposed as a promising fuel or fuel additive for future sustainability. Therefore, we investigated the hydrogen abstraction reactions of glycerol carbonate (GC) by OH radicals using high-level ab initio and variational transition state theory calculations. We mapped out the potential energy surface using the CCSD(T)/cc-pV(D, T)Z//MP2/cc-pVTZ level of theory. We used the ab initio parameters to obtain the site-specific rate coefficients by employing the variational transition state theory. We observed that every hydrogen atom in GC displays a unique reactivity with OH radicals. We derived branching ratio of each channel that are difficult to access experimentally. The overall rate coefficients exhibit a strong non-Arrhenius behaviour, which can be represented as: This is the first reported rate data for the glycerol carbonate and OH radicals reaction. Y1 - 2024 UR - https://www.sciencedirect.com/science/article/abs/pii/S1540748924004760 U6 - https://doi.org/10.1016/j.proci.2024.105668 VL - 40 SP - 1 EP - 8 PB - Elsevier ER - TY - GEN A1 - Eckart, Sven A1 - Shrestha, Krishna P A1 - Giri, Binod R A1 - Fang, Qilong A1 - Li, Wei A1 - Mauss, Fabian A1 - Krause, Hartmut A1 - Li, Yuyang T1 - Insight into premixed diethoxymethane flames: Laminar burning velocities, temperatures, and emissions behaviour T2 - Proceedings of the Combustion Institute N2 - Diethoxymethane ((CH3CH2O)2CH2, DEM) is a promising carbon-neutral fuel. DEM is a diether or acetal with a molecular structure similar to oxymethylene ethers (CH3O–(CH2O)n–CH3, OMEn). Thus, DEM can be expected to have a similar combustion behavior to OMEs, reducing harmful emissions such as NOx and particulate matter (PM) in internal combustion engines. From both experimental and kinetic modeling, fundamental studies on DEM are scarce in the literature. More studies are required to gain a detailed insight into the oxidation kinetics of DEM. Laminar burning velocity (LBV) is a critical property that allows a detailed assessment of the potential application of DEM in combustion devices. Unfortunately, the literature on the LBV of DEM is limited. Therefore, in this study we have investigated the LBV of DEM using two reactors for the first time, namely a heat flux burner and a combustion chamber. The experimental data is reported for equivalence ratio between 0.7 and 1.7, initial temperatures of 368–423 K, and initial pressure of 1–5 bar. In addition, we developed a detailed kinetic model extending our recent work of Shrestha et al. (Combust. Flame. 246 (2022) 112,426) to characterize the combustion behavior of DEM utilizing the new experimental data from this work and the literature data. Our model performs remarkably well in capturing the newly measured LBV experimental data over various experimental conditions. We found that DEM and dimethoxy methane (DMM) have similar values of LBVs (within ±1.5 cm/s) for a given condition, which indicates that intermediate chemistry governs the flame chemistry. Despite DEM being a larger molecule that is expected to have slightly lower LBVs than DMM, its effect on the measured values of LBVs is negligible. Finally, we experimentally measured NOx formation in DEM flame for the first time. The stochiometric flame has the highest NOx formation. The proposed model predicted the equivalence ratio dependence of NOx nicely. However, it overestimates the NOx formation for stoichiometric DEM/air mixtures by ∼30 %. The model suggests that the thermal NO formation route is favored at lean and stochiometric conditions. In contrast, the prompt NO formation route is enhanced for rich mixtures. Y1 - 2024 UR - https://www.sciencedirect.com/science/article/pii/S1540748924003870 U6 - https://doi.org/10.1016/j.proci.2024.105579 VL - 40 SP - 1 EP - 7 PB - Elsevier ER - TY - GEN A1 - Eckart, Sven A1 - Shrestha, Krishna P A1 - Giri, Binod R A1 - Fang, Qilong A1 - Chen, Chen A1 - Li, Wei A1 - Krause, Hartmut A1 - Mauss, Fabian A1 - Liu, Dong A1 - Li, Yuyang T1 - Chemical insights into ethyl acetate flames from experiment and kinetic modeling: Laminar burning velocity, speciation and NOx emission T2 - Proceedings of the Combustion Institute N2 - Oxygenated fuels, such as alcohols, ethers, and esters, are promising alternatives to conventional fuels. These fuels can help reduce detrimental emissions like carbon monoxide and unburned hydrocarbons and enhance octane ratings. Among these oxygenates, ethyl acetate (EA), a small alkyl ester sourced from biomass, emerges as a clean, promising energy carrier. It serves as a surrogate fuel to facilitate investigations into the combustion behaviours of biodiesel. Despite its importance, the literature knowledge of EA combustion characteristics is limited. Therefore, this study aims to broaden the knowledge of the combustion behaviour of this type of oxygenated fuel compound. In this study, we measured the laminar burning velocities of EA by employing a heat flux burner and a closed combustion vessel over the equivalence ratios of 0.7 – 1.7, pressures of 1 – 10 bar and temperatures ranging from 353 – 423 K. Further, we also measured the NOx emissions in exhaust gas of the premixed flames fueled by EA/air for the first time over the equivalence ratio of 0.8 – 1.2. Additionally, we employed a non-premixed counterflow flame setup for extensive characterisation of species and their concentration under diverse conditions encompassing various strain rates and oxygen concentrations. Finally, we utilized these newly measured data to construct and validate a detailed kinetic model developed as part of this work. The newly developed model will help characterize the combustion properties of EA. Y1 - 2024 UR - https://www.sciencedirect.com/science/article/pii/S1540748924002955 U6 - https://doi.org/10.1016/j.proci.2024.105487 VL - 40 (2024) SP - 1 EP - 7 PB - Elsevier ER - TY - GEN A1 - Thomas, Daniel E A1 - Shrestha, Krishna P A1 - Mauss, Fabian A1 - Northrop, William F T1 - Extinction and NO formation of ammonia-hydrogen and air non-premixed counterflow flames T2 - Proceedings of the Combustion Institute N2 - Green ammonia, produced using renewable energy, is a promising carbon-free energy vector and fuel. This work studies combustion of ammonia-hydrogen fuel mixtures with air in counterflow diffusion flame experiments and provides an improved kinetic mechanism for modeling ammonia combustion. The extinction strain rate is measured for a range of 0 to 15% hydrogen in the fuel blend. The flame structure is also investigated with quantitative laser-induced fluorescence (LIF) measurements of nitric oxide (NO) for the same hydrogen concentrations and strain rate range from 26 to 134 s. For these conditions, NO concentration increases with both strain rate and fuel hydrogen content. The previously published kinetic model developed by the authors is used to perform one-dimensional flame simulations of the experimental setup and conditions, and results are compared to three other recently published ammonia mechanisms. None of the selected models satisfactorily predict both the measured extinction strain rate and flame NO concentration. The models mainly fail to predict extinction strain rate at higher Hfraction and NO formation at the highest experimental strain rates and H fraction. The reaction rate parameters for some of the key reactions in the published model developed by authors were updated to improve agreement with experimental results. The updated model results are closely aligned with extinction strain rate measurements, and have improved prediction of flame NO concentration. The model reveals that the reactions from the NH and NH sub-mechanism are sensitive in predicting the extinction strain rate as well as NO. In particular, the reaction NH+NO=NO+H had significant impact on NO predictions. Y1 - 2024 UR - https://www.sciencedirect.com/science/article/abs/pii/S1540748922003388 U6 - https://doi.org/10.1016/j.proci.2022.08.067 VL - 39 IS - 2 SP - 1803 EP - 1812 PB - Elsevier ER - TY - GEN A1 - Pasternak, Michał A1 - Siddareddy, Reddy Babu A1 - de Syniawa, Larisa León A1 - Guenther, Vivien A1 - Picerno, Mario A1 - Andert, Jakob A1 - Franken, Tim A1 - Mauss, Fabian A1 - Adamczyk, Wojciech T1 - Plant modelling of engine and aftertreatment systems for X-in-the-loop simulations with detailed chemistry T2 - CONAT 2024 International Congress of Automotive and Transport Engineering. N2 - Use of numerical simulations at early stage of engine and aftertreatment systems development helps in evaluating their different concepts and reducing the need for costly building of prototypes. In this work, we explore the feasibility of fully physical and chemical-based tool-chain for co-simulating engine in-cylinder and aftertreatment processes. Detailed gas-phase reaction kinetics and surface chemistry mechanisms are applied for the modeling of combustion, pollutants formation and aftertreatment, respectively. Engine in-cylinder performance parameters are simulated using a stochastic reactor model and multi-component fuel surrogate. The engine model is coupled with an aftertreatment model capable of simulating diesel oxidation catalyst (DOC), selective catalytic reduction catalyst, lean NOx trap, ammonia slip catalyst, and three-way catalyst. Both the engine and aftertreatment models are embedded within the Simulink framework. They work in co-simulation and are coupled using Functional Mock-up Interface (FMI) technology. The coupled framework acts as a virtual test bench that is developed given its application for X-in-the-Loop (XiL) simulations. The framework can be applied to engine steady state or transient operating conditions. Here, exemplary calculations are performed using a Model-in-the-Loop (MiL) approach. Simulations are conducted under transient conditions of Worldwide Harmonized Light Vehicle Test Cycle for a compression ignition engine coupled with a DOC. The presented framework is considered a first step towards complex engine plant modeling using detailed chemistry for the virtualization of the development of engine, fuels and aftertreatment systems. Y1 - 2024 SN - 978-3-031-77626-7 U6 - https://doi.org/10.1007/978-3-031-77627-4_14 SP - 151 EP - 163 PB - Springer Nature Switzerland CY - Cham ER - TY - GEN A1 - Mauss, Fabian A1 - Rakhi, Rakhi T1 - Numerical study of catalytic methanation reactions using a kinetic model T2 - SAE Technical Paper N2 - Even if huge efforts are made to push alternative mobility concepts, such as, electric cars (BEV) and fuel cell powered cars, the importance and use of liquid fuels is anticipated to stay high during the 2030s. The biomethane and synthetic natural gas (SNG) might play a major role in this context as they are raw material for chemical industry, easy to be stored via existing infrastructure, easy to distribute via existing infrastructure, and versatile energy carrier for power generation and mobile applications. Hence, biomethane and synthetic natural gas might play a major role as they are suitable for power generation as well as for mobile applications and can replace natural gas without any infrastructure changes. In this paper, we aim to understand the direct production of synthetic natural gas from CO2 and H2 in a Sabatier process based on a thermodynamic analysis as well as a multi-step kinetic approach. For this purpose, we thoroughly discuss CO2 methanation to control emission in order to maximize the methane formation and minimize the CO formation and to understand the complex methanation process. We have considered an equilibrium and kinetic modelling study on the NiO-SiO2 catalyst for methanation focusing on CO2 derived SNG. In this work, a comprehensive thermodynamic analysis of CO2 hydrogenation is preformed to define the optimum process parameters followed by the kinetic simulations. Further, the simulations can be performed at various conditions, for example, catalyst mass, mass flow, pressure, temperature etc. to optimize the methanation process. Y1 - 2024 U6 - https://doi.org/10.4271/2024-24-0022 SN - 0148-7191 IS - 2024-24-0022 ER - TY - GEN A1 - Mauss, Fabian A1 - Rakhi, Rakhi T1 - Numerical investigation of equilibrium and kinetic aspects for hydrogenation of CO2 T2 - Catalysts N2 - Even if huge efforts are made to push alternative mobility concepts, such as electric cars and fuel-cell-powered cars, the significance and use of liquid fuels is anticipated to stay high during the 2030s. Biomethane and synthetic natural gas (SNG) might play a major role in this context, as they are raw material for chemical industry that is easy to be stored and distribute via existing infrastructure, and are a versatile energy carrier for power generation and mobile applications. Since biomethane and synthetic natural gas are suitable for power generation and for mobile applications, they can therefore replace natural gas without any infrastructure changes, thus playing a major role.In this paper, we aim to comprehend the direct production of synthetic natural gas from CO2 and H2 in a Sabatier process based on a thermodynamic analysis as well as a multi-step kinetic approach. For this purpose, we thoroughly discuss CO2 methanation to control emissions in order to maximize the methane formation along with minimizing the CO formation and to understand the complex methanation process. We consider an equilibrium and kinetic modeling study on the NiO-SiO2 catalyst for methanation focusing on CO2-derived SNG. The thermodynamic analysis of CO2 hydrogenation is preformed to define the optimal process parameters followed by the kinetic simulations for catalyst development. The investigation presented in this paper can also be used for developing machine learning algorithms for methanation processes. Y1 - 2024 UR - https://www.mdpi.com/2073-4344/14/9/562 U6 - https://doi.org/10.3390/catal14090562 VL - 14 SP - 1 EP - 20 PB - MDPI ER - TY - GEN A1 - Sabia, Pino A1 - Manna, M.V. A1 - Mauss, Fabian A1 - Ragucci, R. T1 - MILD Combustion stabilization issues through the analysis of hysteresis behaviors : the case of new energy carriers T2 - Applications in Energy and Combustion Science N2 - MILD combustion processes are renewed to reveal a strong resilience to extinction phenomena and/or instabilities, whereas the oxidation process is stabilized trough ignition phenomena. Under MILD conditions, igni-diffusive and/or perfectly mixed kernels, forming during the mixing process between hot products and fresh reactants, are so much diluted and pre-heated to escape classical feed-back flammable flames stabilization mechanisms, while ignition and extinction events merge in a unique condition through “anhysteretic” behaviors. So far, considering methane as reference fuel, it has been largely demonstrated the mentioned “anhysteretic” condition is very conservative and defines a sub-domain of MILD combustion processes, following Cavaliere and de Joannon's definition. Furthermore, the coincidence of ignition and extinction phenomena can occur also preserving hysteresis phenomena. In turns, this condition strongly enlarges the stabilization domain of MILD combustion processes, starting from the upper branch of the hysteresis behaviors to the real extinction, with characteristic unstable loci to consider as further/last opportunity to promote stable operative conditions through the formation of local thermo-kinetic conditions in the combustion chamber during hot products/fresh reactants mixing process (injection configuration/burner design), or by forced ignition events. The hysteresis behaviors of renewable/alternative fuels, relevant within the decarbonization policies of several energy sectors, are thoroughly discussed under MILD conditions through numerical studies in model reactors in order to shed light on common and/or different features, and outline practical rules towards the definition of stable MILD combustion domains. Results show that, as MILD combustion is a chemical kinetics-driven processes, stability issues have to be discussed in relation to fuel nature, albeit with common behavior can be derived. The coincidence between extinction/ignition phenomena is reached for extremely diluted conditions, already ascribable to MILD combustion conditions, thus defining a small sub-domain of the process. This condition can be reached through “hysteretic” or “anhysteretic” behaviors. Y1 - 2024 U6 - https://doi.org/10.1016/j.jaecs.2024.100276 VL - 19 IS - September 2024 ER - TY - GEN A1 - Vadivala, Monang A1 - Franken, Tim A1 - Thapa, Ashish A1 - Mauss, Fabian T1 - Evaluation of metamodels for prediction of species concentration and reactor outlet temperature of Sabatier reactor N2 - The production of green gases using Power-to-gas in industry and the energy sector is essential for reducing the carbon footprint. In this process, green hydrogen and carbon dioxide are converted into synthetic methane using nickel (Ni) catalysts. A one-dimensional (1D) model of a Sabatier reactor enables the simulation of transport processes in the porous medium and reaction kinetics on the Ni/Al2O3 catalyst. KW - Metamodel KW - Methane Synthesis KW - Gaussian Processes KW - Neural Network KW - Random Forest KW - Autoencoder KW - Gradient Boosting Y1 - 2025 UR - https://www.researchgate.net/publication/389675809_Evaluation_of_Metamodels_for_Prediction_of_Species_Concentration_and_Reactor_Outlet_Temperature_of_Sabatier_Reactor ER - TY - GEN A1 - Richter, Jana A1 - Rachow, Fabian A1 - Israel, Johannes A1 - Roth, Norbert A1 - Charlafti, Evgenia A1 - Günther, Vivien A1 - Flege, Jan Ingo A1 - Mauß, Fabian T1 - Reaction Mechanism Development for Methane Steam Reforming on a Ni/Al2O3 Catalyst T2 - Catalysts N2 - In this work, a reliable kinetic reaction mechanism was revised to accurately reproduce the detailed reaction paths of steam reforming of methane over a Ni/Al2O3 catalyst. A steady-state fixed-bed reactor experiment and a 1D reactor catalyst model were utilized for this task. The distinctive feature of this experiment is the possibility to measure the axially resolved temperature profile of the catalyst bed, which makes the reaction kinetics inside the reactor visible. This allows for understanding the actual influence of the reaction kinetics on the system; while pure gas concentration measurements at the catalytic reactor outlet show near-equilibrium conditions, the inhere presented temperature profile shows that it is insufficient to base a reaction mechanism development on close equilibrium data. The new experimental data allow for achieving much higher quality in the modeling efforts. Additionally, by carefully controlling the available active surface via dilution in the experiment, it was possible to slow down the catalyst conversion rate, which helped during the adjustment of the reaction kinetics. To assess the accuracy of the revised mechanism, a monolith experiment from the literature was simulated. The results show that the fitted reaction mechanism was able to accurately predict the experimental outcomes for various inlet mass flows, temperatures, and steam-to-carbon ratios. KW - kinetic reaction mechanism development KW - 1D modeling KW - reaction rates KW - methane steam reforming KW - fixed-bed reactor experiments KW - nickel catalyst Y1 - 2023 U6 - https://doi.org/10.3390/catal13050884 SN - 2073-4344 VL - 13 IS - 5 ER - TY - GEN A1 - Rakhi, Rakhi A1 - Shrestha, Krishna Prasad A1 - Günther, Vivien A1 - Mauß, Fabian T1 - Kinetically consistent detailed surface reaction mechanism for steam reforming of methane over nickel catalyst T2 - Reaction Kinetics, Mechanisms and Catalysis KW - Nickel-based catalyst KW - Kinetic consistency KW - Thermodynamic analysis KW - Steam reforming KW - Detailed surface reaction mechanism Y1 - 2022 UR - https://link.springer.com/article/10.1007/s11144-022-02314-7 U6 - https://doi.org/10.1007/s11144-022-02314-7 SN - 1878-5204 SN - 1878-5190 VL - 135 IS - 6 SP - 3059 EP - 3083 ER - TY - GEN A1 - Rakhi, Rakhi A1 - Mauss, Fabian T1 - Thermodynamic model : steam and oxidative reforming of methane over nickel catalyst T2 - Reaction Kinetics, Mechanisms and Catalysis N2 - In this paper, we have used a thermodynamic model for the first time to investigate the steam and oxidative reforming of methane over a nickel catalyst in a wide temperature range, i.e., 400–1200 K. The available literature focus on the kinetic models and hence, thermodynamic models require attention to understand the behaviour of the thermochemistry of the species involved in the mechanism. This study presents the comparison between the species concentration produced using the thermodynamic model against the available kinetic model to validate the results. The investigation is further extended, firstly, to perform the sensitivity analysis of the reactions involved in a thermodynamic model to figure out the most influential reactions at various temperatures and pressures. This allows us to compare the most influencing reactions in reforming process for kinetic and thermodynamic model to optimize the processes. Secondly, the reaction flow analysis is carried out for the thermodynamic model to comprehend the effect of the thermochemistry of the species and the major difference in the reaction pathways for both the models are noted. Y1 - 2024 UR - https://link.springer.com/article/10.1007/s11144-024-02571-8 U6 - https://doi.org/10.1007/s11144-024-02571-8 VL - 137 IS - 2 SP - 791 EP - 812 PB - Springer ER - TY - GEN A1 - Xie, T. A1 - Rachow, F. A1 - Rakhi, undefined A1 - Berg, H. P. A1 - Höschler, K. T1 - Heat transfer analysis of a tube-in-tube steam reformer for the application of MGT-SOFC hybrid process T2 - Numerical Heat Transfer, Part A: Applications N2 - This work deals with the evaluation of a tube-in-tube reformer concept for the realization of the Micro Gas Turbine Solid Oxide Fuel Cell (MGT-SOFC) hybrid process using a semi-validated numerical model. Rigorous heat transfer analysis considering chemical reactions were performed for this concept. To validate the reforming kinetics and heat transfer mechanisms in a catalyst bed, experiments were conducted using a single reactor tube located in a temperature-controlled furnace. Different experimental conditions, such as furnace temperature and space velocity, were considered. A numerical model was replicated according to the single-tube reactor investigated and validated with the experimental results. The catalyst bed is considered as porous material with chemical reactions as internal source terms of species transport equations and energy transport equation. Since the heat transfer into the reformer tubes in the real operating environment is subject to different mechanisms (predominantly convection) than that in a furnace (predominantly thermal radiation), only the parameters on the side of the catalyst bed tuned by the single-tube experiment could be retained for the numerical model of the tube-in-tube concept, which leads to a semi-validated model. Based on this semi-validated model, the performance (such as temperature distribution, conversion rate of the products, etc.) and the applicability of a tube-in-tube reformer concept, considering the variation of boundary conditions, were investigated and evaluated. Y1 - 2024 U6 - https://doi.org/10.1080/10407782.2024.2323169 SN - 1040-7782 SP - 1 EP - 19 PB - Taylor&Francis ER - TY - GEN A1 - Rakhi, A1 - Mauss, Fabian T1 - Optimising production of synthetic natural gas (SNG) from methane synthesis T2 - Proceedings in applied mathematics and mechanics : PAMM Y1 - 2025 U6 - https://doi.org/10.1002/pamm.202400044 SN - 1617-7061 VL - 25 IS - 1 SP - 1 EP - 5 PB - Wiley-VCH GmbH CY - Weinheim ER - TY - GEN A1 - Shrestha, Krishna Prasad A1 - Mai, Tam V.‐T. A1 - Giri, Sushant A1 - Reddy, V. Mahendra A1 - Szőri, Milán A1 - Verma, Rakhi A1 - Mauss, Fabian A1 - Giri, Binod Raj A1 - Huynh, Lam Kim T1 - Reaction kinetics of NH₂ with H₂CO and CH₃CHO : modeling implications for NH₃‐dual fuel blends T2 - International journal of chemical kinetics N2 - Carbon‐free fuels like ammonia (NH₃) and hydrogen (H₂) offer significant potential in combating global warming by reducing greenhouse gas emissions and moving toward zero carbon emissions. Over the past few years, our research has focused on understanding the combustion behavior of carbon‐neutral and carbon‐free fuels. In particular, we have explored the combustion characteristics of NH₃ when blended with various hydrocarbons and oxygenates. Our investigation revealed that carbon‐nitrogen cross‐chemistry plays a crucial role in shaping the combustion properties of NH3‐hydrocarbon/oxygenate blends. Specifically, the chemistry of amino (NH₂) radicals is vital in influencing the low‐temperature reactivity of these blends. Understanding the interactions between carbon and nitrogen is essential for optimizing combustion processes and improving the emissions profile of NH₃‐based fuels. Recognizing the significance of this cross‐chemistry, we investigated the reaction kinetics of NH₂ radicals with formaldehyde (H₂CO) and acetaldehyde (CH₃CHO) using high‐level ab initio and transition state theory calculations. We computed the potential energy profiles of these reactions at the CCSD(T)/CBS//M06‐2X/aug‐cc‐pVTZ level of theory to analyze the reactivity of NH2 radicals at various C─H bond sites. The newly derived rate constants have proven to be highly sensitive for modeling the low‐temperature oxidation of NH₃‐dual fuel blends, significantly enhancing the predictive accuracy of our previously published kinetic models. This work offers valuable insights into the role of NH₂ radicals, thereby advancing the development of NH₃‐dual fuel systems. Y1 - 2025 U6 - https://doi.org/10.1002/kin.21781 SN - 0538-8066 SN - 1097-4601 VL - 57 IS - 7 SP - 403 EP - 416 PB - Wiley CY - New York ER - TY - GEN A1 - Giri, Binod Raj A1 - Mai, Tam V.‐T. A1 - Shrestha, Krishna Prasad A1 - Giri, Sushant A1 - Naik, R. Thirumaleswara A1 - Verma, Rakhi A1 - Mauss, Fabian A1 - Huynh, Lam K. T1 - Theoretical kinetic study of NH₂ reactions with dimethyl ether and diethyl ether : implications for kinetic modeling T2 - International journal of chemical kinetics N2 - Ammonia (NH₃) and hydrogen (H₂) have emerged as promising carbon‐free fuels to help mitigate global warming by reducing greenhouse gas emissions. Our ongoing research currently focuses on understanding the combustion characteristics of NH₃ blends with oxygenates and hydrocarbons, uncovering the critical role of carbon–nitrogen cross‐reactions in accurately modeling their combustion behavior. Amino (NH₂) radicals, which are abundant in ammonia and nitrogen‐rich environments, strongly influence the low‐temperature reactivity of NH₃‐hydrocarbon/oxygenate mixtures, affecting overall reactivity and emission characteristics. Recognizing the importance of NH₂ radicals, we investigated the reaction kinetics of NH₂ with dimethyl ether (DME, CH₃OCH₃) and diethyl ether (DEE, CH₃CH₂OCH₂CH₃) using appropriate high‐level ab initio and statistical rate theory methods. We computed the potential energy profiles at the CCSD(T)/cc‐pV(T, Q)Z//M06‐2X/aug‐cc‐pVTZ level of theory, analyzing the reactivity of NH₂ radicals at various C─H sites of these diethers. Incorporating these newly derived rate parameters, our updated kinetic model successfully captures previous experimental data, addressing the modeling challenges encountered in our earlier studies. Our findings, including insights into the impact of NH₂ radicals, contribute to an understanding of ammonia combustion and its potential in achieving carbon‐neutral energy systems. KW - Diethyl ether KW - Dimethyl ether KW - Kinetic modeling KW - NH Y1 - 2025 U6 - https://doi.org/10.1002/kin.21779 SN - 0538-8066 SN - 1097-4601 VL - 57 IS - 6 SP - 353 EP - 363 PB - Wiley CY - Hoboken, NJ ER - TY - GEN A1 - Werner, Adina A1 - Kim, Jongmin A1 - Mauss, Fabian T1 - Pressure and temperature dependent UNIQUAC model for methanol - water mixtures T2 - Fluid phase equilibria : an international journal N2 - A pressure dependency is included in a quadratic temperature dependent binary interaction parameter of the UNIQUAC model. The obtained activity coefficients for methanol-water mixtures are compared with only temperature dependent UNIQUAC and UNIFAC, and with calculated activity coefficients based on experimental data between 298.15 - 373.15 K and 0.1519 - 1.01325 bar produced with vapor-liquid equilibrium calculations and Wilson method. This model exhibits an overall good agreement. The predicted activity coefficients are more adaptable than those from models without pressure dependence, indicating potential for further improvement. Y1 - 2026 U6 - https://doi.org/10.1016/j.fluid.2025.114533 SN - 0378-3812 VL - 599 SP - 1 EP - 13 PB - Elsevier BV CY - Amsterdam ER - TY - GEN A1 - Franken, Tim A1 - Mauss, Fabian A1 - Sharma, Saurabh A1 - Brueger, Arnim A1 - Lepka, Marco T1 - Optimization of oxyfuel biogas combustion in combined heat and power plants : a multi-criteria study T2 - 32. Deutscher Flammentag – Paderborn, Germany: 15th – 17th September 2025 N2 - This paper investigates the influence of oxygen addition on the combustion of biogas and biomethane in a combined heat and power plant using numerical methods. A multi-objective optimization platform was established, employing a stochastic engine model with detailed chemistry to predict oxyfuel combustion and emission formation. Additionally, a hybrid optimization algorithm, combining NSGA-II and metamodels, was utilized to conduct the optimization. The optimization results indicate that the lowest indicated specific fuel consumption was achieved with biomethane, while the lowest NOx emissions were attained with biogas. An increase in oxygen addition proved beneficial for reducing specific fuel consumption. However, higher oxygen addition rates resulted in increased NOx emissions. KW - Biogas KW - Optimization KW - Oxyfuel Y1 - 2025 ER - TY - GEN A1 - Asgarzade, Rufat A1 - Franken, Tim A1 - Mauss, Fabian T1 - Experimental investigation of CH4/O2/CO2 mixtures in a single-cylinder spark ignition engine N2 - The Power-to-X-to-Power (P2X2P) technology involves producing synthetic methane from renewable hydrogen and captured CO2, which is then used for cogeneration of electricity and heat through oxyfuel combustion. With the P2X2P energy system demonstrator, NOx-free and carbon neutral heat and electricity generation as well as storage of excess renewable energy are realized. This work presents the experimental investigation of combustion characteristics for CH4/O2/CO2 mixtures in a single cylinder spark ignition engine that is a part of the P2X2P system. Y1 - 2025 ER - TY - GEN A1 - Asgarzade, Rufat A1 - Franken, Tim A1 - Mauss, Fabian T1 - Development of an oxyfuel engine test bench for power-to-X-to-power application T2 - 12th European Combustion Meeting N2 - This work presents the development of an oxyfuel engine test bench which is integrated into a Power-to-X-to-Power energy storage system demonstrator. These storage systems are considered carbon-free because they recirculate carbon without emitting it into the atmosphere. Y1 - 2025 ER - TY - GEN A1 - Franken, Tim A1 - Rachow, Fabian A1 - Charlafti, Evgenia A1 - Flege, Jan Ingo A1 - Jenssen, Martin A1 - Verma, Rakhi A1 - Günther, Vivien A1 - Mauss, Fabian T1 - Numerical investigation of oxy-methane combustion for stationary engines T2 - 40th International Symposium on Combustion N2 - This work presents a numerical investigation of turbulent oxyfuel combustion of methane in a gas engine with passive pre-chamber. The experimental data of a motored operating point at 1600 rpm and natural gas fired operating point at 2450 rpm, 6 bar IMEP and λ=1.5 are provided by TU Freiberg to validate the simulation model. The performance of the detailed chemistry model of Shrestha et al. predicting laminar burning velocity of premixed methane-oxygen flames is evaluated using the experiments of Mouze-Mornettas et al. The detailed chemistry model predicts the laminar flame speed within an accuracy range of ±10% for elevated pressure, temperature, and different equivalence ratios. For predicting the turbulent combustion in the gas engine, a three-dimensional (3D) Large Eddy Simulation (LES) with G Equation model and laminar flame speed look-up tables is used. The chemistry in the unburnt and burnt gas is solved using a constant volume detailed chemistry solver. The 3D LES model shows a good match of the motored and natural gas fired in-cylinder pressure profile. Subsequently the fuel is switched to methane and oxygen is used as oxidizer. The 3D LES results show an increase of maximum cylinder pressure up to 100 bar for λ=1.5, and the turbulent flame regime is shifted towards high Damköhler numbers compared to combustion with air. Diluting the cylinder gas with 50 mole-% CO2 or 65 mole-% H2O shows a significant reduction of peak cylinder pressure, and lower Damköhler and higher Karlovitz numbers compared to methane-oxygen combustion. KW - Oxyfuel KW - Simulation KW - Engines Y1 - 2024 ER - TY - GEN A1 - Asgarzade, Rufat A1 - Franken, Tim A1 - Mauss, Fabian T1 - Oxyfuel combustion process development for an SI engine in a power-to-X-to-power energy system N2 - This work presents the development of an oxyfuel engine test bench which is to be integrated to a Power-to-X-to-Power energy storage system demonstrator. Such storage systems are considered carbon-neutral because they recirculate carbon without emitting it into the atmosphere. Y1 - 2025 ER - TY - GEN A1 - Werner, Adina A1 - Kim, Jongmin A1 - Mauss, Fabian T1 - Excess volumes calculated from UNIQUAC model using the example of methanol - water mixtures T2 - Fluid phase equilibria N2 - Excess volumes can be calculated generally via equations of state. In this work, the excess volumes are obtained using the UNIQUAC model with two approaches of a temperature- and pressure-dependent binary interaction parameter. The pressure dependency is required as the excess volume is derived from the pressure dependency of the excess free enthalpy. Both UNIQUAC approaches are successfully able to predict the vapor-liquid equilibrium as well as the excess volume of methanol-water mixtures over a temperature range between 288.15–473 K and a pressure range between 0.1519–134 bar using a single optimized parameter set. KW - UNIQUAC KW - Excess volume KW - Activity coefficient KW - Pressure dependency Y1 - 2026 U6 - https://doi.org/10.1016/j.fluid.2025.114650 SN - 0378-3812 VL - 603 SP - 1 EP - 13 PB - Elsevier BV CY - Amsterdam ER - TY - GEN A1 - Franken, Tim A1 - Verma, Rakhi A1 - Sharma, Saurabh A1 - Gloesslein, Tobias A1 - Brueger, Arnim A1 - Mauss, Fabian T1 - Modeling of synthetic methane production using Gaussian processes regression T2 - CYPHER Workshop on "Digital Twins for the Decarbonization of hard-to-abate industries" N2 - The production of green gases using Power-to-gas in industry and the energy sector is essential for reducing the carbon footprint. In this process, green hydrogen and carbon dioxide are converted into synthetic methane using nickel catalysts. The carbon dioxide can be obtained from the environment or from point sources such as waste-to-energy plants, combined heat and power plants or industrial furnaces. A one-dimensional model of methane synthesis in the Sabatier reactor enables the simulation of transport processes in the porous medium and the reaction kinetics on the active surface of the nickel catalyst. Despite the low dimensionality, the reactor model is still computationally intensive, as it must solve the reaction mechanism of heterogeneous surface reactions and the mass and heat transport. The introduction of Gaussian processes regression can help to significantly reduce the computational effort for the prediction of species and temperature in the Sabatier reactor under different thermodynamic conditions. This allows for faster turnaround times, enables the application of advanced methods like optimization and more. The accuracy of a Gaussian processes regression is investigated in this work. KW - Gaussian Processes KW - Machine Learning KW - Reactor Y1 - 2024 UR - https://www.researchgate.net/publication/384441411_Modeling_of_synthetic_methane_production_using_Gaussian_processes_regression ER - TY - GEN A1 - Shrestha, Krishna Prasad A1 - Giri, Binod Raj A1 - Pelé, Ronan A1 - Aljohani, Khalid A1 - Brequigny, Pierre A1 - Mauss, Fabian A1 - Halter, Fabien A1 - Huynh, Lam K. A1 - Mounaïm-Rousselle, Christine T1 - A comprehensive chemical kinetic modeling and experimental study of NH₃−methanol/ethanol combustion towards net-zero CO₂ emissions T2 - Combustion and flame N2 - Ammonia is gaining attention as a green fuel with the potential to reduce carbon emissions. Its versatility allows it to be used directly in combustion engines, fuel cells, and as a hydrogen carrier, making it a key candidate for sustainable energy applications. This study provides a comprehensive analysis of the oxidation kinetics of ammonia (NH3) blends with methanol (CH3OH) and ethanol (C2H5OH) under diverse conditions. We measured laminar flame speeds of different NH3-alcohol blends — varying CH3OH/C2H5OH ratios (0–100 %) — using a constant volume combustion chamber across temperatures from 503 to 645 K and pressures of 2–11.3 bar. We also obtained the ignition delay times for NH3/C2H5OH blends with 10 % and 30 % (by mole) C2H5OH using a shock tube at pressures of 1, 10, and 20 bar and temperatures of 1100–1500 K. Our results show that incorporating CH3OH and C2H5OH into NH3 increases the laminar flame speed, with C2H5OH being a more effective promoter than CH3OH due to its higher contribution to the formation of reactive radicals (OH, H, and O). Our model suggests that at high temperatures, both CH3OH and C2H5OH contribute to increased NO formation, with C2H5OH being more effective in reducing N2O emissions than CH3OH. In shock tube experiments, adding C2H5OH significantly shortens ignition delay times of NH3. At low temperatures (in the rapid compression machine case), the sensitivity to ignition delay times decreases when the CH3OH/C2H5OH content exceeds 5 % in NH3-alcohol blends. C2H5OH is a more effective combustion promoter, enhancing NH3 reactivity and reducing NOx emission more efficiently than CH3OH. We developed a detailed kinetic model, building on our previous work, and validated it against new experimental and literature data. Our model accurately predicts the combustion behavior of neat NH3 and NH3 fuel blends and serves as a base for future research on NH3 blended with higher hydrocarbons and/or oxygenated blends. KW - Ammonia KW - Methanol KW - Ethanol KW - Kinetic modeling KW - Laminar flame speed KW - Ignition delay time Y1 - 2025 U6 - https://doi.org/10.1016/j.combustflame.2024.113954 SN - 0010-2180 VL - 274 SP - 1 EP - 21 PB - Elsevier BV CY - Amsterdam ER - TY - GEN A1 - Pasternak, Michał A1 - Przybyła, Grzegorz A1 - Siddareddy, Reddy A1 - Lewandowski, Michał A1 - Bjørgen, Karl A1 - Mauss, Fabian A1 - Nadimi, Ebrahim A1 - Peczkis, Grzegorz A1 - Zhou, Min-min A1 - Adamczyk, Wojciech T1 - Development of ammonia-biodiesel fueled agricultural tractor : aspects of retrofitting a compression ignition engine to direct ammonia injection T2 - Energy N2 - The automotive industry has shown growing interest in ammonia as a carbon-free fuel, which holds potential for mitigating the greenhouse effect. Nonetheless, adapting current combustion engines to use ammonia necessitates prior modifications. This paper introduces a retrofitting technique for converting an existing compression ignition engine into one powered by a direct injection of ammonia and biodiesel. The development results from collaboration between Polish and Norwegian research teams as part of the ACTIVATE project (Ammonia as carbon-free fuel for internal combustion engine-driven agricultural vehicles). The new technology is grounded on experimental and numerical research involving a single-cylinder engine installed in a small agricultural tractor. Biodiesel was directly injected to initiate ammonia combustion. Experimental activities were performed on engine test benches and a chassis dynamometer, complemented by 0D and 3D simulations using the stochastic reactor model and CFD code Converge, respectively. A comprehensive exploration of engine operating conditions and fuel injection strategies was undertaken experimentally and numerically to assess the potential benefits and drawbacks of various designs. A segment of the research focused on analyzing nitrous oxide formation, given its significant impact on global warming. The investigations resulted in a method for combusting ammonia with biodiesel as an ignition enhancer. It was determined that maintaining a stable engine operation in a tractor under real driving scenarios requires 47% of the energy sourced from ammonia. Optimal engine performance occurs when ammonia and biodiesel are injected near the end of the compression stroke, closely followed by the ignition promoter. A prolonged interval between these injections impairs combustion efficiency and raises ammonia emissions. The integrated numerical and experimental research resulted in a demonstration tractor fueled by directly injected biodiesel and ammonia. Y1 - 2025 U6 - https://doi.org/10.1016/j.energy.2025.136255 SN - 0360-5442 VL - 327 SP - 1 EP - 14 PB - Elsevier BV CY - Amsterdam ER - TY - GEN A1 - Hemaizia, Abdelkader A1 - Verma, Rakhi A1 - Guan, Wei A1 - Mauss, Fabian A1 - Thévenin, Dominique ED - Mauss, Fabian T1 - The influence of hydrocarbon additives on laminar burning velocity and NOx emissions in hydrogen‐air combustion T2 - Proceedings in applied mathematics and mechanics : PAMM N2 - Hydrogen is a promising carbon‐free fuel but faces challenges due to combustion instability and nitrogen oxide () emissions during combustion. This study investigates the potential of blending hydrocarbons (methane, propane) or ammonia with hydrogen‐air flames in order to minimize these challenges. Simulations were performed using a one‐dimensional, freely‐propagating, adiabatic premixed flame (FPPF) model in Cantera, incorporating detailed kinetic and thermodynamic modeling. Updated, detailed, and reduced reaction mechanisms were utilized to accurately represent the chemical kinetics of the selected fuel blends. We analyzed laminar flame velocity (LFV), flame structure, and emissions of and CO across a range of inlet pressures, temperatures, equivalence ratios, and blend ratios of /, /, and /. The results were validated against experimental data. Propane addition (10% –60% vol.) was found to be the most effective solution to reduce emissions by promoting reburning pathways that convert NO to , while moderately reducing LFV. Methane exhibits a comparable effect in suppressing thermal while slightly reducing LFV. Ammonia drastically lowers via fuel‐bound nitrogen pathways but sharply increases CO emissions and destabilizes flames at high concentrations. By identifying key reaction pathways governing formation (thermal, prompt, , NNH, and reburning), propane is finally selected as the optimal additive for achieving low‐ hydrogen combustion, despite its trade‐off with LFV, providing critical insights for designing cleaner and more stable combustion systems. Y1 - 2025 U6 - https://doi.org/10.1002/pamm.70028 SN - 1617-7061 VL - 25 IS - 4 SP - 1 EP - 13 PB - Wiley CY - Weinheim ER - TY - GEN A1 - Verma, Rakhi A1 - Günther, Vivien A1 - Giri, Binod Raj A1 - Hemaizia, Abdelkader A1 - Thévenin, Dominique A1 - Mauss, Fabian T1 - Kinetic modeling of CO₂ methanation for methane production : a comprehensive study T2 - IFAC-PapersOnLine N2 - To understand the complex methanation reaction, experiments have been conducted at various operating conditions, for instance, temperature, inlet gas dilution, and inlet composition. In addition, a detailed surface reaction mechanism is developed to conduct the study numerically by validating the simulation results with the experimental data. The kinetic model developed in this study is able to capture the experimental trends successfully for all conditions considered for the analysis. Y1 - 2025 U6 - https://doi.org/10.1016/j.ifacol.2025.12.175 SN - 2405-8963 VL - 59 IS - 29 SP - 18 EP - 23 PB - Elsevier BV CY - Amsterdam ER - TY - GEN A1 - Verma, Rakhi A1 - Günther, Vivien A1 - Giri, Binod Raj A1 - Mauss, Fabian T1 - Effect of pressure and nitrogen dilution on surface species and reaction kinetics in CO₂ methanation over Ni catalyst T2 - IFAC-PapersOnLine N2 - The CO2 methanation process is studied under varying pressures to support the development of efficient and sustainable technologies aligned with emission reduction and hydrogen economy goals. Experiments at two pressures, followed by pressure-dependent simulations, show strong agreement. Additionally, surface species coverage is analyzed, offering insights into catalytic behavior. These findings aid in optimizing methanation by deepening understanding of reaction mechanisms and guiding the design of improved catalysts. KW - Kinetic modeling KW - CO₂ methanation KW - Sabatier reaction KW - Power to gas (P2G) KW - Synthetic natural gas (SNG) Y1 - 2025 U6 - https://doi.org/10.1016/j.ifacol.2025.12.172 SN - 2405-8963 VL - 59 IS - 29 SP - 1 EP - 5 PB - Elsevier BV CY - Amsterdam ER - TY - GEN A1 - Verma, Rakhi A1 - Mauss, Fabian T1 - Equilibrium analysis for methanation focusing on CO₂ derived substitute natural gas T2 - Proceedings of the Second SIMS EUROSIM Conference on Modelling and Simulation, SIMS EUROSIM 2024 N2 - In this study the methanation of synthesis gas (syngas) is investigated with a focus on achieving maximum methane and minimum CO by full methanation of CO2. For this study, we have considered a comprehensive thermodynamics analysis of CO2 hydrogenation. This will help us to understand the thermodynamic behaviour of the reactions involved in the methanation process. We have discussed the behavior of the species, CO2, H2, CH4, and H2O at the equilibrium with temperature, pressure, and fuel ratio variation in order to get the desired output. The preliminary study will focus on selecting the optimum conditions (temperature, pressure, and H2/CO2 ratio) for performing the experiments and for catalyst development. Y1 - 2025 SN - 978-91-8075-984-7 U6 - https://doi.org/10.3384/ecp212.022 SN - 1650-3686 VL - 211 SP - 162 EP - 167 PB - Linköping University Electronic Press CY - Linköping ER - TY - GEN A1 - Hemaizia, Abdelkader A1 - Verma, Rakhi A1 - Mauss, Fabian A1 - Thévenin, Dominique T1 - On the impact of swirl number on premixed C3H8/air combustion in a bluff-body burner T2 - IFAC-PapersOnLine N2 - Utilizing ANSYS-Fluent 21.0, large eddy simulations (LES) of the reactive flow in the Volvo bluff-body burner under various swirl intensities were performed. The Eddy Dissipation Concept (EDC) model coupled with a reduced chemical mechanism was employed to simulate premixed combustion. Results show thatLES is able to capture the interaction between swirl strength and fame stabilization behind the bluff-body. High swirl numbers generate strong central recirculation zones (CRZ), which enhance fame anchoring and combustion efficiency through increased hot gas recirculation and improved turbulent mixing. KW - Propane KW - Bluff-body burner KW - Large eddy simulation (LES) KW - Premixed combustion KW - Swirl number KW - Central recirculation zone (CRZ) KW - Flame stabilization KW - Turbulent reacting flow KW - Eddy dissipation concept (EDC) Y1 - 2025 U6 - https://doi.org/10.1016/j.ifacol.2025.12.201 SN - 2405-8963 VL - 59 IS - 29 SP - 174 EP - 179 PB - Elsevier BV CY - Amsterdam ER - TY - GEN A1 - Siddareddy, Reddy Babu A1 - Pasternak, Michał A1 - de Syniawa, Larisa León A1 - Guenther, Vivien A1 - Seidel, Lars A1 - Mauss, Fabian A1 - Przybyła, Grzegorz A1 - Adamczyk, Wojciech T1 - Simulations of the SCR catalyst in ammonia-biodiesel fuelled CI engine using virtual test bench with detailed chemistry T2 - Renewable energy N2 - The use of ammonia as an alternative fuel in the automotive industry is not yet fully established. Further research and development are required to account for both engine and aftertreatment systems, as well as their integration and control to ensure the most efficient use of ammonia. In this work, we present a fully physics and chemistry-based toolchain for co-simulating an ammonia-biodiesel fuelled compression ignition engine with a selective catalytic reduction catalyst. The investigations refer to experimental data from a single-cylinder research engine. This is a direct injection engine that was retrofitted to run on ammonia and biodiesel, the latter acting as a combustion promoter. Engine in-cylinder processes were simulated using a stochastic reactor model. Detailed gas phase chemistry is used to simulate the combustion process and pollutants formation. The catalyst model employs detailed surface chemistry that is trained using available data from literature. Eventually, the co-simulation toolchain was applied to investigate numerically the impact of the properties of the catalyst on ammonia reduction under engine-relevant operating conditions KW - Ammonia combustion KW - Selective reduction catalyst KW - Stochastic reactor model KW - Detailed chemistry KW - Exhaust emissions Y1 - 2025 U6 - https://doi.org/10.1016/j.renene.2025.123169 SN - 0960-1481 VL - 251 SP - 1 EP - 12 PB - Elsevier BV CY - Amsterdam ER - TY - GEN A1 - Welp, Alexandra A1 - Rudolph, Charlotte A1 - Giri, Binod Raj A1 - Shrestha, Krishna Prasad A1 - Verma, Rakhi A1 - Mauss, Fabian A1 - Atakan, Burak T1 - Oxidation kinetics of ammonia methanol blends : an experimental and kinetic modeling study T2 - Combustion and flame N2 - Ammonia is emerging as a key hydrogen energy carrier for decarbonization. However, its low reactivity necessitates blending with hydrocarbons and/or oxygenates, such as alcohols, to improve combustion properties. Understanding the oxidation kinetics of such blends is essential for evaluating ammonia’s potential as a sustainable fuel. The experimental data on ammonia blended with simple alcohols like methanol remains scarce. This study investigates the oxidation kinetics of ammonia/methanol blends for the first time using a plug-flow reactor coupled with a time-of-flight mass spectrometer setup. This advanced setup enabled simultaneous quantification of temperature-dependent reactant conversion and product distribution over a temperature range of 373–973 K, a pressure of 3 bar, and equivalence ratios of 1 and 2. Adding 10 % methanol significantly enhances radical formation, reducing oxidation onset temperature compared to neat ammonia. Interestingly, the conversion onset temperature was only slightly influenced by the mixture composition or the equivalence ratio. The temperature dependence of the product distribution as a function of the equivalence ratio was further analyzed. Experimental results were compared to simulation using selected kinetic models from the literature, revealing significant disparities in predicting capabilities. Among the kinetic models, Shrestha 2025, He 2023 and Wang 2024 performed well, capturing our experimental data for NH3/CH3OH blends. Reaction flux and sensitivity analyses highlighted some key reactions involving the reactive combustion species (OH, HO2 and NH2), such as CH3OH+HO2 ⇌ CH2OH+H2O2 and CH3OH+NH2, governing the oxidation kinetics of NH3/CH3OH blends. This combined experimental and kinetic modeling approach provides valuable insights into fundamental reaction mechanisms of NH3/CH3OH blends, aiding the development of cleaner and more efficient combustion systems. KW - Ammonia KW - Methanol KW - Kinetic investigation KW - Plug-flow reactor KW - Mass spectrometry Y1 - 2025 U6 - https://doi.org/10.1016/j.combustflame.2025.114210 SN - 0010-2180 VL - 278 SP - 1 EP - 11 PB - Elsevier BV CY - Amsterdam ER - TY - GEN A1 - Rothe, Paul A1 - Bikas, Georgios A1 - Mauss, Fabian T1 - Investigation of the combustion process of a thermally conditioned active prechamber in monovalent operation with ammonia T2 - SAE technical papers N2 - The debate over synthetic fuels is intense especially in sectors with a high energy demand like maritime [1, 2]. Hydrogen production from renewable sources is growing, but immediate measures for decarbonization are needed [3, 4]. In this context, the project MethMag was funded, and a gas engine for methane combustion with an innovative cooling concept and a purged prechamber (PC) spark plug was virtually developed [5, 6]. Validation with data from the test bench demonstrates that the simulations accurately represent the operating conditions [7, 8]. This combustion process is adapted for ammonia, which is being considered as a climate-friendly fuel of the future, particularly in maritime transportation [4, 9]. This fuel faces significant combustion challenges and is therefore mostly considered in complex, bivalent systems [10]. In particular, the prechamber is examined regarding the ignitability of ammonia. The overarching objective is to eliminate the necessity for a secondary fuel system, thereby reducing system complexity and associated costs. The transition to ammonia highlights the need for further adjustments. The geometry of the PC cap significantly affects turbulence and mixture formation in the prechamber [11]. While swirl caps generate high turbulence, the mixture formation is inadequate. Tumble caps, on the other hand, provide advantages in mixture formation by achieving an earlier increase in turbulence, even though the maximum turbulence is lower. For ammonia combustion, PC wall conditioning is not essential, given the inherently low combustion temperatures. However, conditioning can improve cold-start behavior by accelerating PC combustion and offering greater flexibility in ignition timing [12]. Direct injection into the prechamber enhances fuel mixing and reduces sensitivity to ignition timing adjustments. This leads to higher efficiency and better combustion characteristics, particularly at lean air-fuel ratios [13, 14]. Operating with a lean ammonia-air mixture is challenging but offers benefits for non-selective catalytic reduction (non-SCR) of nitrogen oxides. Simulations show that operation with λ = 1.2 and λ = 1.4 is feasible, although efficiency decreases at leaner mixtures [15]. KW - Air / fuel ratio KW - Ignition timing KW - Ignition systems KW - Gas engines KW - Combustion and combustion processes KW - Nitrogen oxides KW - Synthetic fuels KW - Fuel injection KW - Test equipment and instrumentation KW - Fuel systems Y1 - 2025 U6 - https://doi.org/10.4271/2025-24-0028 SN - 0148-7191 PB - SAE International CY - Warrendale, PA ER -