Leitung: Dr. Patrick Le Clercq
The focus of the Department of Multi-phase Flow and Alternative Fuels (MAT) is on the prediction of reacting multi-phase flows and the evaluation of new fuels. The research work ranges from the development of own computer codes (with state-of-the-art numerical methods and models) and the identification of promising fuel candidates to the coordination of flight tests evaluating the emissions and climate impact of alternative aviation fuels.
The development of numerical models is based on the findings and validation data from fundamental research experiments, as they are elaborated, for example, in close cooperation with the department of combustion diagnostics. The platform for these activities is the in-house CFD code SPRAYSIM, which has continuously been further developed at the institute for over twenty years. Coupled to the flow solver THETA of the Department of Computer Simulation, it enables the simulation and prediction of turbulent reacting multi-phase flows. Thereby, the department supports the development of new technologies in a wide range of multi-phase flow applications.
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The main focus of the activities is on the fuel placement in combustion chambers of aircraft engines and liquid-fueled combustion in stationary gas turbines. In addition, various multi-phase flow systems are investigated, which are related to the production of alternative fuels. In this context, the dispersion, outgassing and heterogeneous reaction of suspensions (mixtures of liquids and solid particles, e.g. from biomass) in entrained flow gasifiers were examined and modeled. Furthermore, biogenic kerosene additives from algae were investigated. In solar reactors for thermochemical fuel production, the heat and mass transport in porous media in the cavity receiver was analyzed (link).
Another important tool for the research activities of the department is the SimFuel platform, which aims at the simulation and evaluation of new fuels. The SimFuel platform contains models for fuel properties and fuel-related behavior in technically relevant processes. Therefore, both physics-based models and machine learning based models are applied.
Links to the department’s research topics and current fields of work:
• Fuel placement in gas turbine combustion chambers
• Development of methods for the simulation of reactive multi-phase flows
• Alternative fuels
• Development of the SPRAYSIM code
• Development of the SimFuel platform