Mathematical modeling and experimental validation of ash deposition in a pulverized-coal boiler

Zheng, Sining; Zeng, Xiongwei; Qi, Chaobo; Zhou, Huaichun

doi:10.1016/j.applthermaleng.2016.08.221

Cited by 30 publications

(11 citation statements)

References 31 publications

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“… 49 Additionally, the extremely low flue gas speed in the horizontal flue can easily cause severe ash accumulation in the horizontal flue and the heated area at the tail, which is also a significant threat to the safe operation of the unit. 50 Consequently, the flue gas speed at the exit cross section of the combustion chamber in the stoker furnace based on staged combustion was assessed in the cold modeling test. The flue gas speed in the upper and lower layers (25 measuring points in each layer) was measured at an interval of 120 mm to examine the uniformity of the airflow at the exit.…”

Section: Results and Discussionmentioning

confidence: 99%

Aerodynamic Characteristics of a Stoker Furnace with Staged Combustion: Comparison of Cold Modeling Experiments and Numerical Simulations

et al. 2020

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A three-dimensional trial bed is established for a staged combustion boiler, and a modeling method based on similarity theory is proposed. The aerodynamic field of the 35 t/h layer combustion—composite combustion chamber—in the stoker boiler with staged combustion was evaluated. Further, a three-dimensional calculation model based on computational fluid dynamics (CFD) was used to simulate the aerodynamic field of the reformed boiler under normal operation, which facilitated convenience in the boiler design. Hot-wire anemometer and other instruments were used for the characteristic test of damper, a velocity field test in the furnace, wall wind test, temperature balance test at the outlet of the furnace, etc., and the law of motion for the flow field in the furnace was obtained. By analyzing the structure of staged combustion, the emission of nitrogen oxides and the combustion stability of a novel layer-fired boiler were studied. The calculated results are in excellent agreement with the experimental data. The results revealed that the combustion efficiency of the boiler and the reduction of nitrogen oxides were significantly improved by the staged combustion technology. There was no erosion on the water wall, and the flow velocity at the outlet of the furnace was uniform. This modeling method exhibits good adaptability to the combustion of stratified combustion boilers and is potentially useful for optimizing furnaces in a variety of applications.

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Section: Results and Discussionmentioning

confidence: 99%

Aerodynamic Characteristics of a Stoker Furnace with Staged Combustion: Comparison of Cold Modeling Experiments and Numerical Simulations

et al. 2020

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“…The use of low-emission combustion techniques in pulverized coal-fired boilers has contributed, to a large extent, to intensifying the high-temperature corrosion processes, consequently causing the relatively quick wastage of wall tubes [1,2]. Fire-side corrosion in coal-fired boilers has been well investigated [3][4][5][6][7][8]. In general, fire-side corrosion can be subdivided into two distinct types, namely:…”

Section: Introductionmentioning

confidence: 99%

Non-Destructive Diagnostic Methods for Fire-Side Corrosion Risk Assessment of Industrial Scale Boilers, Burning Low Quality Solid Biofuels—A Mini Review

Hardy

Arora²,

Pawlak-Kruczek

et al. 2021

Energies

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The use of low-emission combustion technologies in power boilers has contributed to a significant increase in the rate of high-temperature corrosion in boilers and increased risk of failure. The use of low quality biomass and waste, caused by the current policies pressing on the decarbonization of the energy generation sector, might exacerbate this problem. Additionally, all of the effects of the valorization techniques on the inorganic fraction of the solid fuel have become an additional uncertainty. As a result, fast and reliable corrosion diagnostic techniques are slowly becoming a necessity to maintain the security of the energy supply for the power grid. Non-destructive testing methods (NDT) are helpful in detecting these threats. The most important NDT methods, which can be used to assess the degree of corrosion of boiler tubes, detection of the tubes’ surface roughness and the internal structural defects, have been presented in the paper. The idea of the use of optical techniques in the initial diagnosis of boiler evaporators’ surface conditions has also been presented.

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“…These methods can be divided into three categories including model-based, data-driven, and hybrid methods [17][18][19]. The model-based method is widely studied, which is mainly to analyze the mechanism of ash fouling and establish a mathematical model to characterize the increase in the thickness of the ash [20]. However, due to the complexity of the change of ash fouling of heating surfaces being affected by many factors, it is difficult to establish an accurate mechanism model.…”

Section: Introductionmentioning

confidence: 99%

Heat Transfer Efficiency Prediction of Coal-Fired Power Plant Boiler Based on CEEMDAN-NAR Considering Ash Fouling

Shi

Wen

et al. 2021

Energies

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Ash fouling has been an important factor in reducing the heat transfer efficiency and safety of the coal-fired power plant boilers. Scientific and accurate prediction of ash fouling of heat transfer surfaces is the basis of formulating a reasonable soot blowing strategy to improve energy efficiency. This study presented a comprehensive approach of dynamic prediction of the ash fouling of heat transfer surfaces in coal-fired power plant boilers. At first, the cleanliness factor is used to reflect the fouling level of the heat transfer surfaces. Then, a dynamic model is proposed to predict ash deposits in the coal-fired boilers by combining complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and nonlinear autoregressive neural networks (NARNN). To construct a reasonable network model, the minimum information criterion and trial-and-error method are used to determine the delay orders and hidden layers. Finally, the experimental object is established on the 300 MV economizer clearness factor dataset of the power station, and the root mean square error and mean absolute percentage error of the proposed method are the smallest. In addition, the experimental results show that this multiscale prediction model is more competitive than the Elman model.

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Mathematical modeling and experimental validation of ash deposition in a pulverized-coal boiler

Cited by 30 publications

References 31 publications

Aerodynamic Characteristics of a Stoker Furnace with Staged Combustion: Comparison of Cold Modeling Experiments and Numerical Simulations

Aerodynamic Characteristics of a Stoker Furnace with Staged Combustion: Comparison of Cold Modeling Experiments and Numerical Simulations

Non-Destructive Diagnostic Methods for Fire-Side Corrosion Risk Assessment of Industrial Scale Boilers, Burning Low Quality Solid Biofuels—A Mini Review

Heat Transfer Efficiency Prediction of Coal-Fired Power Plant Boiler Based on CEEMDAN-NAR Considering Ash Fouling

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