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Resolving the Combustion Zones of Bio-hybrid Fuels in Reactivity Controlled Compression Ignition Combustion Using Tracer-Activated Luminescence Imaging
- Raphael Dewor - RWTH Aachen University, LTT - Chair of Technical Thermodynamics, Germany ,
- Maximilian Fleischmann - RWTH Aachen University, TME - Chair of Thermodynamics of Mobile Energy Conversion Systems, Germany ,
- Thorsten Brands - RWTH Aachen University, LTT - Chair of Technical Thermodynamics, Germany ,
- Stefan Pischinger - RWTH Aachen University, TME - Chair of Thermodynamics of Mobile Energy Conversion Systems, Germany ,
- Hans-Jürgen Koß - RWTH Aachen University, LTT - Chair of Technical Thermodynamics, Germany
Journal Article
04-16-01-0004
ISSN: 1946-3952, e-ISSN: 1946-3960
Sector:
Citation:
Dewor, R., Fleischmann, M., Brands, T., Pischinger, S. et al., "Resolving the Combustion Zones of Bio-hybrid Fuels in Reactivity Controlled Compression Ignition Combustion Using Tracer-Activated Luminescence Imaging," SAE Int. J. Fuels Lubr. 16(1):37-48, 2023, https://doi.org/10.4271/04-16-01-0004.
Language:
English
Abstract:
A major reduction of greenhouse gas emissions, as well as other toxic emissions,
is required to reduce the environmental impact of transportation systems.
Renewable fuels, in combination with new internal combustion processes, such as
reactivity controlled compression ignition (RCCI), are promising measures to
enable this reduction. By combining two fuels with different reactivity, RCCI
offers high efficiency and low emissions through homogeneous low-temperature
combustion. However, a two-fuel RCCI approach leads to an increased number of
adjustable operation parameters, such as injection timing. Optimizing these
operation parameters to ensure homogenous combustion is challenging. To that
end, optical methods provide temporally and spatially resolved information on
mixture formation and combustion to analyze the homogeneity of the process.
However, established methods, such as OH* imaging, cannot differentiate between
multiple fuels. Therefore, we propose the usage of sodium as a tracer that is
added to one of the fuels. Based on this approach, we present a combination of
one-dimensional (1D) and two-dimensional (2D) luminescence imaging to
investigate two-fuel RCCI combustion in a high-pressure vessel. The method
allows for an accelerated optimization of injection parameters by visually
accessing the homogeneity of combustion processes. The optimized parameters can
then be transferred and further tested in engine applications.