Nonlinear modeling of NOx emission in a coal-fired power generation plant

Proceedings of the IEEE Conference on Decision and Control

Volumn 4, Issue , 2004, Pages 3850-3855

  Spinelli, William ^a   Piroddi, Luigi ^a   Li, Kang ^b  

^a POLITECNICO DI MILANO   (Italy)

^b QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BANDWIDTH; COAL; COAL COMBUSTION; COMPUTATIONAL FLUID DYNAMICS; COMPUTER SIMULATION; ELECTRIC POWER GENERATION; FOSSIL FUEL POWER PLANTS; GAS EMISSIONS; NITROGEN OXIDES; REAL TIME SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS);

COAL-FIRED POWER GENERATION PLANT; COMBUSTION CHEMISTRY; SIMULATION ERROR MINIMIZATION;

NONLINEAR CONTROL SYSTEMS;

EID: 14244262843     PISSN: 07431546     EISSN: 25762370     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. K. Li, S. Thompson, P. Wieringa, J. Peng, and G. Duan, "Neural networks and genetic algorithms can support human supervisory control to reduce fossil fuel power plant emissions," in Cognition, Technology & Work. Springer-Verlag, 2003, vol. 5, no. 2.
2. C. Maffezzoni, F. Casella, L. Piroddi, and F. Pretolani, "Minimising production costs in generation and cogeneration plants," Control Engineering Practice, vol. 9, no. 3, pp. 283-295, 2001.
3. F. Lockwood and C. Romo-Millares, "Mathematical modelling of fuel-NO emissions from PF burners," Journal of the Institute of Energy, vol. 65, pp. 144-152, 1992.
4. 3 in practical liquid-fuel flames," Journal of the Institute of Energy, vol. 68, pp. 170-177, 1995.
5. x emission in a coal-fired power generation plant," Control Engineering Practice, 2004, (in press).
6. x emissions in thermal power plants using neural networks," ASME Journal of Engineering for Gas Turbines and Power, vol. 123, no. 2, pp. 465-471, 2001.
7. L. Piroddi and W. Spinelli, "An identification algorithm for polynomial NARX models based on simulation error minimization," International Journal of Control, vol. 76, no. 17, pp. 283-295, 2001.
8. I. Leontaritis and S. Billings, "Input output parametric models for non linear systems," International Journal of Control, vol. 41, pp. 303-344, 1985.
9. L. Aguirre and S. Billings, "Improved structure selection for non-linear models based on term clustering," International Journal of Control, vol. 62, pp. 569-587, 1995.
10. S. Billings, S. Chen, and M. Korenberg, "Identification of MIMO nonlinear systems using a forward-regression orthogonal estimator," International Journal of Control, vol. 49, pp. 2157-2189, 1989.
11. th IFAC Symposium on System Identification, Rotterdam (The Netherlands), pp. 1108-1113.
12. L. Ljung, System Identification: Theory for the User. Englewood Cliffs, NJ: Prentice-Hall.