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TECHNICAL PAPERS: Power

Estimation of NOx Emissions in Thermal Power Plants Using Neural Networks

[+] Author and Article Information
G. Ferretti, L. Piroddi

Dipartimento di Elettronica e Informazione Politecnico di Milano Piazza Leonardo da Vinci 32, Milano 20133, Italy

J. Eng. Gas Turbines Power 123(2), 465-471 (Jan 01, 2001) (7 pages) doi:10.1115/1.1367339 History: Received May 01, 2000; Revised January 01, 2001
Copyright © 2001 by ASME
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References

Belli, P., Bittanti, S., Campi, M., De Marco, A., Ferretti, A., Malloggi, S., and Prandoni, W., 1996, “A Control System for Nitrogen Oxides Pollution Abatement by SCR (Selective Catalytic Reduction),” 13th IFAC Triennal World Congress, Vol. O, San Francisco, pp. 13–18.
De Marco,  A., and Poncia,  G., 1999, “A Model of Combustion Chambers, Including Nitrogen Oxide Generation, in Thermal Power Plants,” Control Engineering Practice, 7, pp. 483–492.
Lefebvre,  A. H., 1984, “Fuel Effects on Gas Turbine Combustion-Liner Temperature, Pattern Factor, and Pollutant Emissions,” J. Aircr., 21, No. 11, pp. 887–898.
Rizk,  N. K., and Mongia,  H. C., 1993, “Three-Dimensional Gas Turbine Combustor Emissions Modeling,” ASME J. Eng. Gas Turbines Power, 115, pp. 603–611.
Rizk,  N. K., and Mongia,  H. C., 1993, “Semianalytical Correlations for NOx, CO and UHC Emissions,” ASME J. Eng. Gas Turbines Power, 115, pp. 612–619.
Gülder,  Ö. L., 1986, “Flame Temperature Estimation of Conventional and Future Jet Fuels,” ASME J. Eng. Gas Turbines Power, 108, pp. 376–380.
Gülder,  Ö. L., 1986, “Combustion Gas Properties—Part II: Prediction of Partial Pressures of CO2 and H2O in Combustion Gases of Aviation and Diesel Fuels,” ASME J. Eng. Gas Turbines Power, 108, pp. 455–459.
Gülder,  Ö. L., 1988, “Combustion Gas Properties—Part III: Prediction of the Thermodynamic Properties of Combustion Gases of Aviation and Diesel Fuels,” ASME J. Eng. Gas Turbines Power, 110, pp. 94–99.
Fattori, M., Pittaluga, F., Beltrami, F., and Torelli, A., 1996, “Theoretical Predictions of Thermochemical Performances and Pollutant Emissions of Heavy-Duty Gas Turbine Combustors by Means of Extended-Parametrization Modeling,” TURBOMACCHINE’96, pp. 121–132.
Castellano, L., 1998, “Manuale a corredo della relazione tecnica finale del simulatore della caldaia TAVAZZANO UP Gruppo 6,” Technical Report Matec MTC/FL143/98, Milano, Italy (in Italian).
Makansi, J., 1988, “Reducing NOx Emissions,” Power, pp. S1–S13.
Warnatz, U., Maas, R., and Dibble, W., 1996, Combustion: Physical and Chemical Fundamentals, Modelling and Simulation, Experiments, Pollutant Formation, Springer, Berlin.

Figures

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Dimensions (mm) of the combustion chamber; (a) lateral view; (b) front view
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NOx flow rate fields (g/s)
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Incremental NOx flow rate fields (g/s)
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Neural network structure for cell learning
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Cell Learning with one-dimensional model cell temperatures
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Neural network structure for chamber learning
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Chamber learning estimation of the global NOx emissions
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Chamber learning estimation of the global NOx emissions with measured data
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Evolution of the MSQE during the training phase (continuous line=training set,dotted line=validation set)
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Estimation performance on the training set
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Estimation performance on the validation set

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