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Title: 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}
}

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Works referenced in this record:

Decentralized neural controller design for space structural platforms
conference, January 1994


Optimal tracking control in flexible pointing structures
conference, January 1995