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U.S. Department of Energy
Office of Scientific and Technical Information

Innovative Clean Coal Technology (ICCT): 500 MW demonstration of advanced wall-fired combustion techniques for the reduction of nitrogen oxide (NO{sub x}) emissions from coal-fired boilers. First quarterly technical progress report, [January--March 1995]

Technical Report ·
DOI:https://doi.org/10.2172/368283· OSTI ID:368283
The primary goal of this project is the characterization of the low NO{sub x} combustion equipment through the collection and analysis of long-term emissions data. The project provides a stepwise evaluation of the following NO{sub x} reduction technologies: Advanced overfire air (AOFA), Low NO{sub x} burners (LNB), LNB with AOFA, and Advanced Digital Controls and Optimization Strategies. The project has completed the baseline, AOFA, LNB, and LNB+AOFA test segments, fulfilling all testing originally proposed to DOE. Analysis of the LNB long-term data collected show the full load NO{sub x} emission levels to be near 0.65 lb/MBtu. This NO{sub x} level represents a 48 percent reduction when compared to the baseline, full load value of 1. 24 lb/MBtu. These reductions were sustainable over the long-term test period and were consistent over the entire load range. Full load, fly ash LOI values in the LNB configuration were near 8 percent compared to 5 percent for baseline. Results from the LNB+AOFA phase indicate that full load NO{sub x} emissions are approximately 0.40 lb/MBtu with a corresponding fly ash LOI value of near 8 percent. Although this NO{sub x} level represents a 67 percent reduction from baseline levels, a substantial portion of the incremental change in NO{sub x} emissions between the LNB and LNB+AOFA configurations was the result of operational changes and not the result of the AOFA system. Phase 4 of the project is in progress. During first quarter 1995, design of the advanced control and optimization software and strategies continued. Process data collected from the DCS is being archived to a server on the plant information network and subsequently transferred to SCS offices in Birmingham for analysis and use in training the neural network combustion models.
Research Organization:
Southern Co. Services, Inc., Birmingham, AL (United States)
Sponsoring Organization:
USDOE, Washington, DC (United States)
DOE Contract Number:
FC22-90PC89651
OSTI ID:
368283
Report Number(s):
DOE/PC/89651--T24; ON: DE96050307
Country of Publication:
United States
Language:
English