Gas turbine nvPM formation and oxidation semi-empirical model for commercial aviation

Joseph Abrahamson, Randy Vander Wal

Research output: Contribution to conferencePaper

Abstract

Several semi-empirical relations have been developed to estimate nonvolatile particulate matter (nvPM) mass emissions from rich-quench-lean (RQL) style combustors employed predominantly in the current aviation fleet. The accuracy of such methodology has been hindered by inaccurate combustor conditions. Additionally, current relations are not optimized for direct cruise nvPM emission predictions and do not account for fuels, in particular alternative jet fuels with reduced aromatic contents. An improved semi-empirical kinetic based predictive relation has been developed for these purposes. Accurate engine conditions are based on proprietary engine cycle data for a common RQL style combustor. Nonvolatile particulate matter formation rates dependent on equivalence ratio, thrust, and fuel components are developed to accurately predict emissions across thrust settings and fuels. The new model captures both ground and cruise altitude emissions. Predicted values are validated against field campaign data collected over a decade from NASA Langley's Aerosol Research Group with inclusion of cruise data.

Original languageEnglish (US)
StatePublished - Jan 1 2016
Event2016 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2016 - Princeton, United States
Duration: Mar 13 2016Mar 16 2016

Other

Other2016 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2016
CountryUnited States
CityPrinceton
Period3/13/163/16/16

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Physical and Theoretical Chemistry
  • Chemical Engineering(all)

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  • Cite this

    Abrahamson, J., & Vander Wal, R. (2016). Gas turbine nvPM formation and oxidation semi-empirical model for commercial aviation. Paper presented at 2016 Spring Technical Meeting of the Eastern States Section of the Combustion Institute, ESSCI 2016, Princeton, United States.