التفاصيل البيبلوغرافية
| العنوان: |
Measurements and Prediction of Ash Deposition in a Cyclone-Fired Boiler Operating under Variable Load Conditions. |
| المؤلفون: |
Krishnamoorthy, Gautham, Bloom, Evan, Viswanathan, Krishnamoorthy, Patwardhan, Shuchita Sanjay, Stadem, David John, Benson, Steve |
| المصدر: |
Fluids; Dec2023, Vol. 8 Issue 12, p305, 23p |
| مصطلحات موضوعية: |
PARTICLE size distribution, FLY ash, BOUNDARY layer (Aerodynamics), CROSS-sectional imaging, LIGNITE, BOILERS, KINETIC energy |
| مستخلص: |
Measurements of ash deposition rates were made between the secondary superheater and reheater sections of a 450 MW cyclone-fired lignite boiler as the operational load varied from 33 to 100%. Significant reductions in deposition rates with a decrease in operational load were observed. To uncover the causative mechanisms behind these observations, operational data from the power plant were used to carry out computational fluid dynamic (CFD) simulations of the boiler. After ascertaining that the gas temperatures and velocities at various sections within the boiler were being represented adequately, decoupled simulations of the ash deposition process on the deposit probe were carried out using a finely resolved boundary layer mesh. Fly ash particle size distribution (PSD) and its concentration for the decoupled calculations were determined from stand-alone cyclone barrel simulations. The ash partitioning (mass %) between the fly ash and slag was found to be ~50:50, which was in line with previous field observations, and it did not vary significantly across different cyclone loads. The predicted PSD of the deposit ash was concentrated in the size range 10–30 microns, which was in agreement with cross-sectional images of the deposit obtained from the measurements. At lower loads, sharp variations in the deposition rates were predicted in the gas temperature range 950–1150 K. The particle kinetic energy—particle viscosity-based capture methodology utilized in this study in conjunction with appropriate ash compositions, ash viscosity models and gas temperature estimates can help estimate slagging propensities at different loads reasonably well in these systems. [ABSTRACT FROM AUTHOR] |
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