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.

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