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conference cpote2024 logo
CPOTE2024 | 8th International Conference on
Contemporary Problems of Thermal Engineering
23-26 September 2024 | Gliwice, Poland | Hybrid event

Abstract CPOTE2024-1046-A

Simulations of the SCR catalyst in ammonia-biodiesel fuelled CI engine using virtual test bench with detailed chemistry

Reddy Babu SIDDAREDDY, Silesian University of Technology, Gliwice, Poland, Poland
Michał PASTERNAK, LOGE Polska Sp z o.o., Częstochowa, Poland, Poland
Larisa LEÓN DE SYNIAWA, LOGE GmbH, Cottbus, Germany, Germany
Vivien GUENTHER, LOGE GmbH, Cottbus, Germany, Germany
Lars SEIDEL, LOGE GmbH, Cottbus, Germany, Germany
Fabian MAUSS, Brandenburg University of Technology, Cottbus, Germany, Germany
Grzegorz PRZYBYŁA, Silesian University of Technology, Gliwice, Poland, Poland
Wojciech ADAMCZYK, Silesian University of Technology, Gliwice, Poland, Poland

The use of ammonia as an alternative fuel in automotive industry is not yet fully established; further research and development are required that need to account for both engine and aftertreatment systems as well as their integration and control to ensure most efficient use of ammonia. In this work we present a fully physical and chemical-based toolchain for co-simulating ammonia and biodiesel fuelled compression ignition engine with selective reduction catalysts (SCR) for exhaust aftertreatment. 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 SCR aftertreatment 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 operating conditions.

Keywords: Ammonia combustion, Stochastic reactor model, Detailed chemistry, Exhaust emissions, Aftertreatment