Estimation of NO{sub x} emissions from pulverized coal-fired utility boilers. Final report

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Description

The formation of nitrogen oxides (NO{sub x}) during pulverized-coal combustion in utility boilers is governed by many factors, including the boiler`s design characteristics and operating conditions, and coal properties. Presently, no simple, reliable method is publicly available to estimate NO{sub x} emissions from any coal-fired boiler. A neural network back-propagation algorithm was previously developed using a small data set of boiler design characteristics and operating conditions, and coal properties for tangentially fired boilers. This initial effort yielded sufficient confidence in the use of neural network data analysis techniques to expand the data base to other boiler firing modes. A new ... continued below

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23 p.

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Wildman, D.J. & Smouse, S.M. May 1, 1995.

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Description

The formation of nitrogen oxides (NO{sub x}) during pulverized-coal combustion in utility boilers is governed by many factors, including the boiler`s design characteristics and operating conditions, and coal properties. Presently, no simple, reliable method is publicly available to estimate NO{sub x} emissions from any coal-fired boiler. A neural network back-propagation algorithm was previously developed using a small data set of boiler design characteristics and operating conditions, and coal properties for tangentially fired boilers. This initial effort yielded sufficient confidence in the use of neural network data analysis techniques to expand the data base to other boiler firing modes. A new neural network-based algorithm has been developed for all major pulverized coal-firing modes (wall, opposed-wall, cell, and tangential) that accurately predicts NO{sub x} emissions using 11 readily available data inputs. A sensitivity study, which was completed for all major input parameters, yielded results that agree with conventional wisdom and practical experience. This new algorithm is being used by others, including the Electric Power Research Institute (EPRI). EPRI has included the algorithm in its new software for making emissions compliance decisions, the Clean Air Technology Workstation.

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23 p.

Notes

OSTI as DE98051979

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  • Other Information: PBD: May 1995

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  • Other: DE98051979
  • Report No.: DOE/FETC--98/1060
  • DOI: 10.2172/588588 | External Link
  • Office of Scientific & Technical Information Report Number: 588588
  • Archival Resource Key: ark:/67531/metadc692865

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Office of Scientific & Technical Information Technical Reports

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  • May 1, 1995

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

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  • Feb. 17, 2017, 5:54 p.m.

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Wildman, D.J. & Smouse, S.M. Estimation of NO{sub x} emissions from pulverized coal-fired utility boilers. Final report, report, May 1, 1995; Pittsburgh, Pennsylvania. (digital.library.unt.edu/ark:/67531/metadc692865/: accessed December 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.