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Fluid Dynamics and Detailed Kinetic Modeling of Pollutant Emissions From Lean Combustion Systems

[+] Author Affiliations
Alessio Frassoldati, Alberto Cuoci, Tiziano Faravelli, Eliseo Ranzi

Politecnico di Milano, Milano, Italy

Salvatore Colantuoni, Pasquale Di Martino, Giuseppe Cinque

AVIO S.p.A., Pomigliano d’Arco, NA, Italy

Matthias Kern, Svetoslav Marinov, Nikolaos Zarzalis

University of Karlsruhe, Karlsruhe, Germany

Isabel Da Costa, Christian Guin

ONERA, Palaiseau, France

Paper No. GT2010-22551, pp. 451-459; 9 pages
  • ASME Turbo Expo 2010: Power for Land, Sea, and Air
  • Volume 2: Combustion, Fuels and Emissions, Parts A and B
  • Glasgow, UK, June 14–18, 2010
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-4397-0 | eISBN: 978-0-7918-3872-3
  • Copyright © 2010 by ASME


A methodology for computing steady turbulent reacting flows and the formation of pollutants in combustors for aeroengine applications is presented. The aim of this paper is to describe and to further validate the proposed computational approach. A 3-D computational fluid dynamics (CFD) proprietary code and a Kinetic Post-Processor (KPP) have been coupled and applied to calculate the gas temperature and pollutant emissions. The thermo-fluid dynamics results of the CFD code are post-processed by the KPP with the use of detailed kinetics for predicting pollutant emissions, with special emphasis on nitrogen oxides. A new application of the above calculation methodology has been carried out on an injection system based on Partial Evaporation and Rapid Mixing (PERM) concept, designed and developed in the frame of the EU program for NEW Aero engine Core concepts (NEWAC). This injection system was studied experimentally at Karlsruhe University and ONERA using a tubular combustor, in order to perform the first assessment in terms pollutant emissions at the outlet at different operating conditions. The model predictions are compared with experimental results and globally the agreement is satisfactory, especially for NOx emissions. The analysis of the data presented in this paper provides useful information for further improvements in both modeling and experimental activities.

Copyright © 2010 by ASME



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