Predictions of the Siemens 1D reactor network model, GENE-AC, are validated against emissions measurements from high pressure tests of an industrial gas turbine combustor. The same modelling approach is then applied to the Siemens SGT-400 production engine, where trends predicted by a reactor network model of the SGT-400 combustor are used as the basis for a Predictive Emissions Monitoring System. Input parameters include: load, pilot/main fuel split, equivalence ratio, and inlet air temperature and pressure. Comparison with a sample of 90 engine tests demonstrates reasonably accurate prediction of NOx and CO without tuning the model to match individual engines.
Predictive Emissions Monitoring System for Small Siemens Dry Low Emissions Combustors: Validation and Application
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Hackney, R, Sadasivuni, SK, Rogerson, JW, & Bulat, G. "Predictive Emissions Monitoring System for Small Siemens Dry Low Emissions Combustors: Validation and Application." Proceedings of the ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. Volume 4B: Combustion, Fuels and Emissions. Seoul, South Korea. June 13–17, 2016. V04BT04A032. ASME. https://doi.org/10.1115/GT2016-57656
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