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Reactor Network Analysis to Assess Fuel Composition Effects on NOx Emissions From a Recuperated Gas Turbine

[+] Author Affiliations
Andrés Colorado, Vincent McDonell

University of California, Irvine, CA

Paper No. GT2014-26361, pp. V04BT04A030; 10 pages
doi:10.1115/GT2014-26361
From:
  • ASME Turbo Expo 2014: Turbine Technical Conference and Exposition
  • Volume 4B: Combustion, Fuels and Emissions
  • Düsseldorf, Germany, June 16–20, 2014
  • Conference Sponsors: International Gas Turbine Institute
  • ISBN: 978-0-7918-4569-1
  • Copyright © 2014 by ASME

abstract

This paper addresses the numerical prediction of NOx emissions from a micro turbine generator (MTG) using a chemical reactor network (CRN). In particular, the effect of fuel composition on NOx formation is analyzed. The numerical predictions are compared with available experimental results. The results obtained with the reactor network analysis (RNA) for the mixtures with heavier alkanes are in good agreement with the experimental results; however the methodology indicates that the prediction is sensitive to the selection of the reaction mechanism. Also, it was possible to predict measured trends for the effect of the dilution with CO2, but the slope of the trend differs from the experiments. The analysis of the results indicates that most of the NOx measured at the turbine exit for the conditions of this study is formed through the N2O route. This is the dominant pathway for this system, regardless of the fuel composition or the reaction mechanism used.

Copyright © 2014 by ASME

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