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:
- Publication Date:
- Research Org.:
- NeuCo, Inc. (Boston, MA)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1088938
- Patent Number(s):
- 8,498,746
- Application Number:
- 13/606,311
- Assignee:
- NeuCo, Inc. (Boston, MA)
- 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., 2013.
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. 2013.
"Sootblowing optimization for improved boiler performance". United States. https://www.osti.gov/servlets/purl/1088938.
@article{osti_1088938,
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 = {},
url = {https://www.osti.gov/biblio/1088938},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jul 30 00:00:00 EDT 2013},
month = {Tue Jul 30 00:00:00 EDT 2013}
}
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