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Optical sensor system for time-resolved quantification of methane concentrations: Validation measurements in a rapid compression machine.

MPG-Autoren
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Golibrzuch,  K.
Department of Dynamics at Surfaces, MPI for biophysical chemistry, Max Planck Society;

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Zitation

Bauke, S., Golibrzuch, K., Wackerbarth, H., Fendt, P., Zigan, L., Seefeldt, S., et al. (2018). Optical sensor system for time-resolved quantification of methane concentrations: Validation measurements in a rapid compression machine. Journal of Quantitative Spectroscopy and Radiative Transfer, 210, 101-110. doi:10.1016/j.jqsrt.2018.02.016.


Zitierlink: http://hdl.handle.net/21.11116/0000-0000-7764-A
Zusammenfassung
Lowering greenhouse gas emissions is one of the most challenging demands of today's society. Especially, the automotive industry struggles with the development of more efficient internal combustion (IC) engines. As an alternative to conventional fuels, methane has the potential for a significant emission reduction. In methane fuelled engines, the process of mixture formation, which determines the properties of combustion after ignition, differs significantly from gasoline and diesel engines and needs to be understood and controlled in order to develop engines with high efficiency. This work demonstrates the development of a gas sensing system that can serve as a diagnostic tool for measuring crank-angle resolved relative air-fuel ratios in methane-fuelled near-production IC engines. By application of non-dispersive infrared absorption spectroscopy at two distinct spectral regions in the ν3 absorption band of methane around 3.3 µm, the system is able to determine fuel density and temperature simultaneously. A modified spark plug probe allows for straightforward application at engine test stations. Here, the application of the detection system in a rapid compression machine is presented, which enables validation and characterization of the system on well-defined gas mixtures under engine-like dynamic conditions. In extension to a recent proof-of-principle study, a refined data analysis procedure is introduced that allows the correction of artefacts originating from mechanical distortions of the sensor probe. In addition, the measured temperatures are compared to data obtained with a commercially available system equipped based on the spectrally resolved detection of water absorption in the near infrared.