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Show beneficial to derive the model form theoretically ( M R S M ) if possible. M R S M generally results in a more parsimonious model with less bias. CONCLUSIONS The author has presented a validated semi-empirical approach for controlling N O x from combustion processes. The method is superior to conventional feedback control. However, one may apply it to conventional D C S or P L C networks. 1 Colannino, J., NOx and CO: Semi-Empirical Models for Boilers, Session 49. T28.d, presented at the American Power Conference. 59th Annual Meeting, Chicago Marriot Downtown, April 1-3, 1997. 2Box, G.E.P., and Draper, NR, Empirical Model Building and Response Surfaces. ISBN 0-471-81033-9, John Wiley & Sons, N e w York, 1987. 3 Glassman, I., Combustion. 3rd Edition, p 362, ISBN 0-12-285852-2, Academic Press, San Diego, 1996. 4 Box, G.E.P., Hunter, W.G., Hunter J.S., Statistics for Experimenters. ISBN 0-471- 09315-7, John Wiley & Sons, N e w York, 1978. 5 Wadsworth, H.M., Ed., Handbook of Statistical Methods for Engineers and Scientists. ISBN 0-07-067674-7, McGraw-Hill, N e w York, 1989. 6 Colannino, J., Results of a Statistical Test Program to Assess Flue-Gas Recirculation at the Southeast Resource Recovery Facility (SERRF), Paper 92-22.01, presented before the Air & Waste Management Association. 85th Annual Meeting & Exhibition. Kansas City M O , June 21-26, 1992. 7 Montgomery, D.C., Design and Analysis of Experiments. 4th ed. ISBN 0-471-15746-5, John Wiley & Sons, N e w York, 1996. 8 Colannino, J., Curcio, F., Johnson, R., NOx Reduction in Power Boilers Using a Predictive NOr-Control Algorithm. PowerGen 97. Orlando, Florida, 1997. 9 Colannino, J., Using Modified Response Surface Methodology (MRSM) to Control NOx, presented at the Institute of Clean Air Companies Seminar: Cutting N O x Emissions. Durham N C , March 18-20, 1998. 6 |