Three phase transient model of wet coal pyrolysis

Polesek-Karczewska, Sylwia; Kardaś, Dariusz; Ciżmiński, Przemysław; Mertas, B.

doi:10.1016/j.jaap.2015.01.022

Cited by 10 publications

(5 citation statements)

References 10 publications

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“…The overall results are presented in Table 1. Although the convergence is obtained for almost all cases considered (see further discussion for k 1 /k 2 = 10 4 ), the overall accuracy is not so good as in other studies [for example, see (Polesek-Karczewska et al 2015)]. The observed discrepancy between numerical and analytical results increases with the ratio of thermal conductivities, especially for series arrangement: for example if k 1 /k 2 = 10 4 then the error reaches about 22%.…”

Section: Benchmark Casementioning

confidence: 66%

“…One of the aims is to assure sufficient accuracy of averaged description applied in macro-scale simulations, thus a detailed investigation in smaller scale is highly desirable, for example to obtain closure relations. One of the measurable effects of such investigations are averaged relationships utilized in 1D/2D models provided by the use of conservation laws closed by empirical correlations (Polesek-Karczewska et al 2015); very often those models were experimentally validated or accordingly fitted to meet the macro-scale needs. An example, taken into consideration in the mentioned scale, is the thermal processing of fossil fuel (like coal).…”

Section: Introductionmentioning

confidence: 99%

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Effective thermal conductivity in granular media with devolatilization: the Lattice Boltzmann modelling

Grucelski

2021

Int J Coal Sci Technol

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Flow thermomechanics in reactive porous media is of importance in industry including the thermal processing of fossil fuel (coking understood as a slow pyrolysis) involving devolatilisation. On the way to provide a detailed description of the process, a multi-scale approach was chosen to estimate effective transport coefficients. For this case the Lattice Boltzmann method (LBM) was used due to its advantages to accurately model multi-physics and chemistry in a random geometry of granular media. After account for earlier studies, the paper presents description of the model with improved boundary conditions and a benchmark case. Results from meso-scale LBM calculations are presented and discussed regarding the spatial resolution and the choice of relaxation parameter along its influence on the accuracy compared with empirical formulae. Regarding the estimation of effective thermal conductivity coefficient it is shown that occurrence of devolatilization has a crucial effect by reducing heat transfer. Some quantitative results characterise the propagation of thermal front; also presented is the evolution of effective thermal conductivity. The work is a step forward towards a physically sound simulation of thermal processing of fossil fuel.

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Section: Benchmark Casementioning

confidence: 66%

Section: Introductionmentioning

confidence: 99%

Effective thermal conductivity in granular media with devolatilization: the Lattice Boltzmann modelling

Grucelski

2021

Int J Coal Sci Technol

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“…All the related functions describing the temperature properties, heat transfer [16], kinetics of the volatile release, moisture evaporation, and vapor condensation [12] have been investigated by using ANSYS Fluent software [17].…”

Section: Computational Fluid Dynamics Heat Transfer Modelmentioning

confidence: 99%

“…Finally, a 3D coupled heat transfer process model was established and a chamber temperature profile evolution figure was obtained. Polesek et al [11,12] studied and simulated 1D model for heat and mass transfer in fixed coal bed to describe the thermal and flow characteristics in a coke oven chamber. Although predicted temperature was obtained, some discrepancy regarding the simulated and real temperature profiles at the stage of evaporation was observed below 100°C due to the condensate water.…”

Section: Introductionmentioning

confidence: 99%

Lignite temperature distribution during low temperature carbonization process in an industrial width carbonization furnace

Wang

Zhang

et al. 2016

Fuel Processing Technology

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“…Contrary to the previous authors' work (Polesek-Karczewska et al, 2015), the temperature field was calculated for the system including an oven ceramic wall. The model utilises the correlations for temperature-dependent specific heat and thermal conductivity of coal taken from literature.…”

Section: Introductionmentioning

confidence: 99%

Prediction of coking dynamics for wet coal charge

Kardaś¹,

Polesek-Karczewska²,

Ciżmiński³

et al. 2015

Chemical and Process Engineering

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A one-dimensional transient mathematical model describing thermal and flow phenomena during coal coking in an oven chamber was studied in the paper. It also accounts for heat conduction in the ceramic oven wall when assuming a constant temperature at the heating channel side. The model was solved numerically using partly implicit methods for gas flow and heat transfer problems. The histories of temperature, gas evolution and internal pressure were presented and analysed. The theoretical predictions of temperature change in the centre plane of the coke oven were compared with industrialscale measurements. Both, the experimental data and obtained numerical results show that moisture content determines the coking process dynamics, lagging the temperature increase above the water steam evaporation temperature and in consequence the total coking time. The phenomenon of internal pressure generation in the context of overlapping effects of simultaneously occurring coal transitions -devolatilisation and coal permeability decrease under plastic stage -was also discussed.

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Three phase transient model of wet coal pyrolysis

Cited by 10 publications

References 10 publications

Effective thermal conductivity in granular media with devolatilization: the Lattice Boltzmann modelling

Effective thermal conductivity in granular media with devolatilization: the Lattice Boltzmann modelling

Lignite temperature distribution during low temperature carbonization process in an industrial width carbonization furnace

Prediction of coking dynamics for wet coal charge

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