Neural Network Predictions of Slagging and Fouling in Pulverized Coal-Fired Utility Boilers

Author(s):  
David Wildman ◽  
Scott Smouse ◽  
Richard Chi
Fuel ◽  
1984 ◽  
Vol 63 (12) ◽  
pp. 1664-1670 ◽  
Author(s):  
Richard E. Conn ◽  
Leonard G. Austin

1985 ◽  
Vol 65 ◽  
Author(s):  
Christopher J. Macey

ABSTRACTSlagging difficulties encountered in large, pulverized coal-fired utility boilers can be alleviated by using recently developed chemical conditioners designed to inhibit the agglomeration of molten fly ash particles. Slagging results from the impaction and accretion on the boiler interior surfaces of molten ash particles in the flue gas resulting from the combustion of coal. Electron Spectroscopy for chemical Analysis (ESCA) and ion sputtering depth profiling were utilized to examine the mechanism whereby a fuel conditioner containing copper oxychloride effectively reduced slag deposition rates during a pilot-scale, pulverized coal combustion experiment.


1986 ◽  
Vol 108 (3) ◽  
pp. 450-454 ◽  
Author(s):  
S. B. Greene ◽  
S. L. Chen ◽  
D. W. Pershing ◽  
M. P. Heap ◽  
W. R. Seeker

Reburning involves the injection of a secondary fuel above the main firing zone of pulverized coal-fired utility boilers to produce a reducing zone which acts to reduce NOx to molecular nitrogen. Overfire air is added above the reburn reducing zone to complete the combustion. Bench scale evaluations of the process carried out in a plug flow furnace at 23 KW have indicated that NOx reductions of up to 70 percent can be achieved depending on a number of process variables. The dominant variables include the initial NOx level that is to be reduced, the reburning fuel type (pulverized coal type or natural gas), and the residence time and temperature in the reducing zone. The reburning process has been combined with the injection of calcium-based sorbents (limestone) to investigate the potential for combined NOx and SOx reduction.


2018 ◽  
Vol 232 ◽  
pp. 04073
Author(s):  
Jiaying Zhang ◽  
Xuhan Zhang ◽  
Zhe Wang

This paper studies on researching the method of reducing NOx production and coal consumption of coal-fired power station boiler. It takes a power plant 600MW subcritical boiler as the research object, from the power plant Supervisory Information System (SIS) it gets the historical operation data as experimental data. Based on GA-GRNN (generalized regression neural network based on genetic optimization), a predictive model of boiler combustion system with 39 variables such as inlet and output of coal consumption and NOx production was established. Finally, coal consumption and NOx production were optimized based on the neural network model of boiler combustion system. In this paper, 29 adjustable thermal parameters of boiler combustion system model input are selected as optimization variables and the improved NSGA-II (non-dominated sorting genetic algorithm) is used to optimize multiple objective variables. The optimization study was carried out under the actual operating condition of 349.21 MW. After optimization, the coal consumption of power supply was reduced by 5.67% and the NOx production was reduced by 50%. Therefore, the optimization results provide guidance for adjusting the combustion of utility boilers.


Fuel ◽  
2005 ◽  
Vol 84 (18) ◽  
pp. 2364-2371 ◽  
Author(s):  
Javier Pallarés ◽  
Inmaculada Arauzo ◽  
Luis Ignacio Díez

2013 ◽  
Vol 341-342 ◽  
pp. 1342-1345
Author(s):  
Xing Sen Yang ◽  
Jing Yin

Uniform velocity of primary air is very important in the operation of utility boilers. Regulation of the resistance of each pipe was done without pulverized coal to achieve equal flow velocity. The mass flow rate of pulverized coal and the length difference of pipes would lead to velocity variation of primary air. By the research of primary air flow and the regulation process, model of the velocity variation was built to calculate the velocity of each pipe and their difference. The arrangement of pipes and the operation parameters were taken into consideration. With the experimental data, calculation of velocity under different states was made. The velocity difference of different pipes was estimated. The length difference between pipes and the variation of the mass flow rate of pulverized coal play the most important role that affects the velocity of primary air.


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