Significant factors affecting devolatilization of fragmenting, non-swelling coals in fluidized bed combustion

Sasongko, Dwiwahju; Stubington, John F.

doi:10.1016/0009-2509(96)00242-4

Cited by 25 publications

(19 citation statements)

References 31 publications

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“…Relationship between mineral coalescence and coal fragmentation and their effects on residual ash particle size. [41][42][43]. A brief description of them is provided in Table 1.…”

Section: Fragmentation Of Coal Particlesmentioning

confidence: 99%

Coal combustion-generated aerosols: Formation and properties

Yao

et al. 2011

Proceedings of the Combustion Institute

301

199

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“…Relationship between mineral coalescence and coal fragmentation and their effects on residual ash particle size. [41][42][43]. A brief description of them is provided in Table 1.…”

Section: Fragmentation Of Coal Particlesmentioning

confidence: 99%

Coal combustion-generated aerosols: Formation and properties

Yao

et al. 2011

Proceedings of the Combustion Institute

301

199

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“…The temperature profile as a function of time and radial position will follow Eqn (6): [24][25][26][27] ∂T ∂t…”

Section: Temperature Gradient Model For Coal Pyrolysismentioning

confidence: 99%

“…In addition to the previous established coal pyrolysis FD model, in this study, we present the inclusion term of temperature gradient models used by Sasongko and Stubington, [24] Maloney et al, [25] Heidenreich et al, [26] and Sterov et al [27] to determine the temperature profile in the particle coal and to be elaborated in the calculation of the reaction rate. The temperature profile as a function of time and radial position will follow Eqn (6): [24][25][26][27]…”

Section: Temperature Gradient Model For Coal Pyrolysismentioning

confidence: 99%

Numerical simulation of coal pyrolysis with Tar and Gas products prediction

Sasongko

Arifpin

Rasrendra

et al. 2015

Asia-Pacific J Chem Eng

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Coal pyrolysis products can vary both in species and composition that are influenced by internal coal properties and process parameters, including temperature and heating rate during the pyrolysis process. In order to accurately predict the composition of the pyrolysis products, a mathematical model with correct formulation of heat transfer inside the coal particle is necessary to be developed. In this report, the inclusion of heat transfer term to the recent development of fragmentation and diffusion (FD) model is discussed and used to determine the coal pyrolysis products in various operating conditions. Derived from the model result, it concludes that the increment of reaction temperature led to higher rate of secondary reactions and suppress the production of tar. Taking the lignite-type coal pyrolysis of Zap North Dakota (average particle radius of 30 µm) as the sample, at temperature of 600°C, 96.4% of primary tar was produced by the primary reaction and diffused outward, while at temperature of 950°C, 49.9% of primary tar undergo secondary reactions.

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“…30,42,[52][53][54][55][56] The time/temperature history of the fuel particle can be further analyzed since its injection in the fluidized bed to assess the progress of drying, devolatilization and char burn-out. [26][27]46,[58][59][60] Ross et al 59 proposed to take the time interval between fuel particle injection and the time at which the center of the particle reaches the bed temperature as a measure of the devolatilization time. The possibility to correlate the progress of devolatilization with the pressure increase measured in a fluidized-bed reactor was also investigated with reference to a biomass fuel.…”

Section: Introductionmentioning

confidence: 99%

Characterization of the devolatilization rate of solid fuels in fluidized beds by time‐resolved pressure measurements

2011

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in Wiley Online Library (wileyonlinelibrary.com).The characterization of volatile matter (VM) release from solid fuel particles during fluidized-bed combustion/gasification is relevant to the assessment of the reactor performance, as devolatilization rate affects in-bed axial fuel segregation and VM distribution across the reactor. An experimental technique for the characterization of the devolatilization rate of solid fuels in fluidized beds is proposed. It is based on the analysis of the time series of pressure measured in a bench-scale fluidized-bed reactor as VM is released from a batch of fuel particles. A remarkable feature of the technique is the possibility to follow fast devolatilization with excellent time-resolution. A mathematical model of the experiment has been developed to determine the time-resolved devolatilization rate, the devolatilization time and the volume-based mean molecular weight of the emitted volatile compounds. Devolatilization kinetics has been characterized for different solid fuels over a broad range of particle sizes. V V C 2011 American Institute of Chemical Engineers AIChE J, 58: 632-645, 2012

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Significant factors affecting devolatilization of fragmenting, non-swelling coals in fluidized bed combustion

Cited by 25 publications

References 31 publications

Coal combustion-generated aerosols: Formation and properties

Coal combustion-generated aerosols: Formation and properties

Numerical simulation of coal pyrolysis with Tar and Gas products prediction

Characterization of the devolatilization rate of solid fuels in fluidized beds by time‐resolved pressure measurements

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