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Content archived on 2024-06-20

Remote Sensing Technique for Aeroengine Emission Certification and Monitoring (AEROTEST)


It has been demonstrated in the last five years that non intrusive techniques like FTIR spectroscopy annuli are relevant to aero-engine exhaust gases measurement and have been compared with intrusive method. This success has opened the path for their standardisation. At the same time, aircraft engine industry stresses the need for a measurement method compatible with cost effectiveness, short-term implementation, fast availability of results and accuracy meeting ICAO emission certification needs. First objective: address standardisation issues to promote the techniques to ICAO for engine emission certification. A complete QA/QC approach will be followed, at all level (instrument, operation, data format) tonsure accuracy and repeatability of the technique. Procedures for instrument calibration set up and operation will be developed. Validity of the data will be verified in laboratories and in test beds. All this stresses the need for fundamental and experimental studies on calibration, inversion methods and models to achieve the accuracy and repeatability goals. A particular attention is given to soot measurement. Second objective: develop validated techniques for gas turbine monitoring using emission data. The ability to perform non-intrusive measurements, which are much faster and cheaper to perform than gas sampling, opens up such possibilities for the use of emissions data (Knox and smoke levels in particular). A model of engine emissions affected by component failure will be developed and correlated to engine emission measurements. The project is directly relevant to Area 2 of Aeronautic and space priority "Improving environmental impact with regards to emissions and noise", and particularly to the technical domain"combustion". The project objective answers the need for measurement of the composition of engine exhaust gaseous emissions with emphasis on Knox, soot and UHC.

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5 Allee Charles Pathe

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Participants (11)