New predictive dynamic controller reduces NOX while improving efficiency

NO subscript x control of coal-fired boilers fitted with low NO subscript x concentric firing systems is complicated. To minimize NO subscript x emissions, the operator has to manipulate O subscript 2, wind-box to furnace differential pressure, six or more elevations of over-fire air dampers, and se...

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Bibliographic Details
Published inPower Engineering Vol. 104; no. 10; pp. 95 - 100
Main Authors COWDER, Tom, HILTY, James, FORTE, Kandi, BROWN, Russell F
Format Magazine Article Trade Publication Article
LanguageEnglish
Published Tulsa, OK PennWell 01.10.2000
Clarion Events, Ltd
Subjects
Air pollution caused by fuel industries
Applied sciences
Boilers
Coal
Control systems
Design of experiments
Efficiency
Energy
Energy. Thermal use of fuels
Exact sciences and technology
Innovations
Neural networks
Pollution reduction
Process controls
Variables
United States > US
Nitrogen oxide
Boiler
Air pollution control
Coal
Combustion
Neural network
Optimization
Predictive control
Operating conditions
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Summary:NO subscript x control of coal-fired boilers fitted with low NO subscript x concentric firing systems is complicated. To minimize NO subscript x emissions, the operator has to manipulate O subscript 2, wind-box to furnace differential pressure, six or more elevations of over-fire air dampers, and several other variables. To assist their operators, Reliant Energy's Keystone and Conemaugh Stations have installed Pavilion Technologies power perfecter that automatically controls NO subscript x emissions. NO subscript x control on a coal-fired boiler is a prime candidate for neural-network based model-predictive control. Neural networks allow models to be built quickly and easily from test data, historical data, or a combination of the two.
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ISSN:0032-5961