Sootblowing optimization for improved boiler performance
Abstract
A sootblowing control system that uses predictive models to bridge the gap between sootblower operation and boiler performance goals. The system uses predictive modeling and heuristics (rules) associated with different zones in a boiler to determine an optimal sequence of sootblower operations and achieve boiler performance targets. The system performs the sootblower optimization while observing any operational constraints placed on the sootblowers.
- Inventors:
- Issue Date:
- Research Org.:
- NeuCo, Inc. (Boston, MA)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1082126
- Patent Number(s):
- 8340824
- Application Number:
- 11/868,021
- Assignee:
- NeuCo, Inc. (Boston, MA)
- Patent Classifications (CPCs):
-
F - MECHANICAL ENGINEERING F22 - STEAM GENERATION F22B - METHODS OF STEAM GENERATION
F - MECHANICAL ENGINEERING F23 - COMBUSTION APPARATUS F23J - REMOVAL OR TREATMENT OF COMBUSTION PRODUCTS OR COMBUSTION RESIDUES
- DOE Contract Number:
- FC26-04NT41768
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING
Citation Formats
James, John Robert, McDermott, John, Piche, Stephen, Pickard, Fred, and Parikh, Neel J. Sootblowing optimization for improved boiler performance. United States: N. p., 2012.
Web.
James, John Robert, McDermott, John, Piche, Stephen, Pickard, Fred, & Parikh, Neel J. Sootblowing optimization for improved boiler performance. United States.
James, John Robert, McDermott, John, Piche, Stephen, Pickard, Fred, and Parikh, Neel J. Tue .
"Sootblowing optimization for improved boiler performance". United States. https://www.osti.gov/servlets/purl/1082126.
@article{osti_1082126,
title = {Sootblowing optimization for improved boiler performance},
author = {James, John Robert and McDermott, John and Piche, Stephen and Pickard, Fred and Parikh, Neel J.},
abstractNote = {A sootblowing control system that uses predictive models to bridge the gap between sootblower operation and boiler performance goals. The system uses predictive modeling and heuristics (rules) associated with different zones in a boiler to determine an optimal sequence of sootblower operations and achieve boiler performance targets. The system performs the sootblower optimization while observing any operational constraints placed on the sootblowers.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2012},
month = {12}
}
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referenced in this record:
Decentralized neural controller design for space structural platforms
conference, January 1994
- Yen, G. G.
- Proceedings of IEEE International Conference on Systems, Man and Cybernetics
Optimal tracking control in flexible pointing structures
conference, January 1995
- Yen, G. G.
- 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century