Sodium transformation simulation with a 2-D CFD model during circulating fluidized bed combustion

Ji, Jieqiang; Cheng, Leming; Nie, Linru; Li, Liyao; Wei, Yangjun

doi:10.1016/j.fuel.2020.117175

Cited by 7 publications

(2 citation statements)

References 22 publications

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“…Even though the threedimensional simulation results will provide good predictions, it requires too much computation time. If a two-dimensional model used can provide key results representing the actual process as well as the three-dimensional model, the simulation efficiency would improve and variable parameter analysis could be performed quickly [30]. The CFD results were compared to experimental results obtained from an actual pilot-scale gasifier.…”

Section: Introductionmentioning

confidence: 99%

Coal Type, Temperature and Gasifiying Agent Effects on Low-Rank Coal Gasification Using CFD Method

Isa

Osman

Abdullah

et al. 2020

CFDL

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Low-Rank Coal (LRC) gasification utilising Fluidised Bed Gasifier (FBG) is more efficient for LRC that has higher reactivity, moisture, tar, volatile, and ash content but lower calorific value compared to other types of coals. This work investigated the application of Computational Fluid Dynamics (CFD) in simulating LRC gasification under different temperatures which is lower (873K), normal (973K) and higher (1073K) temperature atmosphere. Besides that, the effect of LRC type and gasifying agents on the producer gas CO+H2 composition, Lower Heating Value (LHV) and Cold Gas Efficiency (CGE) were also studied using High-rank Coal (HRC) as comparison. The results obtained showed that LRC gasification using oxygen increased LHV and CGE. Lower temperature gasification using oxygen at 873 increased CO+H2, LHV and CGE for LRC compared to higher temperatures at 973K and 1073K. This prediction suggests that LRC gasification using oxygen at lower temperature increases the LRC gasification efficiency.

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Section: Introductionmentioning

confidence: 99%

Coal Type, Temperature and Gasifiying Agent Effects on Low-Rank Coal Gasification Using CFD Method

Isa

Osman

Abdullah

et al. 2020

CFDL

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“…The third term represents the promoting effect of the alkali film formed by the condensation of alkali vapor (Na 2 SO 4 ) on the formation of ash deposits. The deposition rate coefficient, S, is provided by Tomeczek et al [21] and is taken as S = 62 (kg/m 2 s) −1 , and the alkali vapor concentration is determined using the calculation of Ji et al [38], which is 1.1 ppm at the furnace outlet.…”

Section: Deposition Modelmentioning

confidence: 99%

A Numerical Simulation Study into the Effect of Longitudinal and Transverse Pitch on Deposition of Zhundong Coal Ash on Tube Bundles

Guo,

Li,

Liang

et al. 2024

Processes

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In this paper, the dynamic deposition behavior of Na-enriching Zhundong coal ash on tube bundles with varying longitudinal and transverse pitches was numerically studied. By using a modified critical viscosity model, an improved CFD deposition model has been established and key parameters, including deposit mass and morphology, particle trajectories and impaction and sticking probabilities, as well as the heat flux distribution, have been analyzed. The results show that the ash deposited on tubes in the first row is, respectively, 1.74 and 3.80 times higher than that on the second and third rows, proving that ash deposition in the downstream is lessened. As the longitudinal pitch increased from 1.50 D to 2.50 D, deposit mass in the downstream increased two times, suggesting that an increase in longitudinal pitch would aggravate ash deposition. The effect of transverse pitch, however, with the least deposit propensity at St/D = 1.75, is non-linear due to the joint effect of adjacent tubes and walls in affecting particle trajectory. In addition, due to the non-uniform distribution of the deposit, heat flux across the tube is the smallest at the stagnation point but becomes six times higher at two sides and the leeward, which makes the thermal damage of these sides to be warranted as a practical concern.

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CFD modeling of sodium transformation during high-alkali coal combustion in a large-scale circulating fluidized bed boiler

Cheng

2020

Fuel

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Sodium transformation simulation with a 2-D CFD model during circulating fluidized bed combustion

Cited by 7 publications

References 22 publications

Coal Type, Temperature and Gasifiying Agent Effects on Low-Rank Coal Gasification Using CFD Method

Coal Type, Temperature and Gasifiying Agent Effects on Low-Rank Coal Gasification Using CFD Method

A Numerical Simulation Study into the Effect of Longitudinal and Transverse Pitch on Deposition of Zhundong Coal Ash on Tube Bundles

CFD modeling of sodium transformation during high-alkali coal combustion in a large-scale circulating fluidized bed boiler

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