Method and system for sootblowing optimization

Liquid heaters and vaporizers – Cleaning

Reexamination Certificate

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Details

C122S390000, C122S392000, C015S316100

Reexamination Certificate

active

07458342

ABSTRACT:
A controller determines and adjusts system parameters, including cleanliness levels or sootblower operating settings, that are useful for maintaining the cleanliness of a fossil fuel boiler at an efficient level. Some embodiments use a direct controller to determine cleanliness levels and/or sootblower operating settings. Some embodiments use an indirect controller, with a system model, to determine cleanliness levels and/or sootblower settings. The controller may use a model that is, for example, a neural network, or a mass energy balance, or a genetically programmed model. The controller uses input about the actual performance or state of the boiler for adaptation. The controller may operate in conjunction with a sootblower optimization system that controls the actual settings of the sootblowers. The controller may coordinate cleanliness settings for multiple sootblowers and/or across a plurality of heat zones in the boiler.

REFERENCES:
patent: 4965742 (1990-10-01), Skeirik
patent: 4985824 (1991-01-01), Husseiny
patent: 5167009 (1992-11-01), Skeirik
patent: 5212765 (1993-05-01), Skeirik
patent: 5224203 (1993-06-01), Skeirik
patent: 5282261 (1994-01-01), Skeirik
patent: 5386373 (1995-01-01), Keeler
patent: 5471381 (1995-11-01), Khan
patent: 5493631 (1996-02-01), Huang et al.
patent: 5704011 (1997-12-01), Hansen
patent: 5781432 (1998-07-01), Keeler
patent: 5819246 (1998-10-01), Ashida et al.
patent: 5822740 (1998-10-01), Haissig
patent: 6002839 (1999-12-01), Keeler
patent: 6038540 (2000-03-01), Krist et al.
patent: 6063292 (2000-05-01), Leung
patent: 6241435 (2001-06-01), Huang et al.
patent: 6325025 (2001-12-01), Perrone
patent: 6423696 (2002-07-01), Collins
patent: 6425352 (2002-07-01), Perrone
patent: 6532454 (2003-03-01), Werbos
patent: 6539343 (2003-03-01), Zhao et al.
patent: 6583964 (2003-06-01), Huang et al.
patent: 6668201 (2003-12-01), Bonissone et al.
patent: 6721606 (2004-04-01), Kaji et al.
patent: 6725208 (2004-04-01), Hartman
patent: 6736089 (2004-05-01), Lefebvre et al.
patent: 6757579 (2004-06-01), Pasadyn
patent: 6823675 (2004-11-01), Brunell et al.
patent: 2003/0109951 (2003-06-01), Hsiung et al.
patent: 2003/0195641 (2003-10-01), Wojsznis et al.
patent: 2003/0217021 (2003-11-01), Jacobson
patent: 2004/0133531 (2004-07-01), Chen et al.
patent: 2004/0170441 (2004-09-01), Forbes et al.
Nakoneczney, et al., “Implementing B&W's Intelligent Sootblowing system at MidAmerican Energy Company's Louisa Energy Center Unit 1,” Western Fuels conference, Aug. 12-13, 2002.
Sarunac, et al., “Sootblowing Optimization Helps Reduce Emissions from Coal-Fired Utility Boilers,” Proceedings of the 2003 MEGA Symposium, Washington D.C., May 19-22, 2003.
G.G. Yen, “Decentralized Neural Controller Design for Space Structural Platforms”, IEEE Conference on Systems, Man and Cybernetics, Human Information and Technology, 3:2126-2131 (1994).
G.G. Yen, “Optimal Tracking Control in Flexible Pointing STructures” IEEE COnference on Systems, Man and Cybernetics, Intelligent Systems for the 21st Century, 5:4440-4445 (1995).
Sarunac, et al., “Sootblowing Optimization and Intelligent Sootblowing,” 4th Intelligent Sootblowing Workshop, Houston, TX, Mar. 2002.
Sarunac, et al., “Sootblowing Optimization in Coal-Fired Utility Boilers,” 13th EPRI Heat Rate Improvement Conference, Birmingham, AL, Jan. 2003.
Romero, et al., “Combined Optimization for NOxEmissions, Unit Heat Rate and Slagging Control with Coal-Fired Boilers,” Abstract, Lehigh University.
Davidson, I., “Intelligent Sootblowing—The potential efficiency gains can be large,” BMS (International) Ltd.
U.S. Appl. No. 10/288,997, filed Sep. 2, 2004, Wojsznis et al.
Sarunac, N., et al., “Sootblowing Optimization Helps Reduce Emissions from Coal-Fired Utility Boilders,” Energy Research Center, Lehigh University, Bethlehem, PA.
Nakoneczny, G., et al., “Implementing B&W's Intelligent Sootblowing System at MidAmerican Energy Company's Louisa Energy Center Unit 1,” Western Fuels Conference, Aug. 12-13, 2002, Albuquerque, NM.
Stallings, J., Fifth Intelligent Sootblowing Workshop, Electric Power Research Institute, Jun. 2004, Palo Alto, CA.
Rhode, M., et al., “Tampa Electric's Neutral Network Based Intelligent Sootblowing,” 4thIntelligent Sootblowing Workshop, Mar. 19-21, 2002.
Anonymous, “Intelligent Sootblowing Demonstration at Texas Glenco's W.A. Parish Plant,” Electric Power Research Institute, Dec. 2003.
Anonymous, “Intelligent Sootblowing at TVA's Bull Run Plant,” Electric Power Research Institute, Dec. 2003.
Shinskey, F.G., “Controlling Multivariable Processes”, Instrument Society of America, 1981.
Shinskey, F.G., “Process Control Systems”, McGraw-Hill, 1979.
Piche, et al., “Nonlinear Model Predictive Control Using Neural Network,” IEEE Control Systems, pp. 53-62, Jun. 2000.
Hesnon, M. and Seborg, D., “Nonlineary Model Predictive Control,” Prentice Hall, 1997.
Chen et al., “Nonlineary Neural Network Internal Model Control with Fuzzy Adjustable Parameter”, IEEE International conference on Industrial Technology, 1996.
Lin et al., “Hybrid Adaptive Fuzzy Control Wing Rock motion System and H Robust Performance”, IEEE International conference on Industrial Technology, 2003.

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