Simulation of pyrolysis in low rank coal particle by using DAEM kinetics model: Reaction behavior and heat transfer

Wang, Junli; Lian, Wenhao; Li, Peng; Zhang, Zhonglin; Yang, Jingxuan; Hao, Xiaogang; Huang, Wei; Guan, Guoqing

doi:10.1016/j.fuel.2017.06.078

Cited by 81 publications

(35 citation statements)

References 50 publications

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“…Thus, the temperature gradient becomes more apparent with the increase in particle size, and a thermal inertia or thermal lag occurs in the core temperature-rise history. These results are consistent with the published work [35,40]. In addition, it can be seen from Figures 4 and 5 that the peak rate of tar release (daf mass fraction basis) is about 10 times as much as that of other components, except H2O.…”

Section: Effect Of Particle Size On the Heat Transfer And Volatile Yieldsupporting

confidence: 92%

“…Previous studies [20,21,35] have accurately predicted the temperature distribution and volatile matter release during coal pyrolysis, with the particles size ranging from 3 mm to 16 mm. In respect to large particle sizes, e.g, more than 20 mm, which can be accepted by pyrolysis or gasification in the fixed/moving bed [36] and Lurgi-Spuelgas (L-S) gasifier, they are still under investigation.…”

Section: Introductionmentioning

confidence: 99%

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An Improved Comprehensive Model of Pyrolysis of Large Coal Particles to Predict Temperature Variation and Volatile Component Yields

Zhou

Huo

et al. 2019

Energies

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In this work, an improved comprehensive model was developed for large coal particles to predict temperature variation and volatile component yields. The kinetics model of volatile component yields, where the volatile matters were assumed to comprise nine species, was combined with heat transfer model. The interaction between volatile yield and heat transfer during pyrolysis of large Maltby coal particles was investigated. An apparent temperature difference has been observed between the surface and core of particles at the initial heating stage. The non-uniform temperature distribution inside coal particles causes non-simultaneous volatile yields release from the surface and core area. The volatile release occurs after the coal temperature rises higher than 350 °C, and its yield steeply increases within the temperature range of 450–520 °C. The peak of volatile release rate corresponds to about 485 °C due to the rapid release of tar and H2O. The tar is almost completely released at around 550 °C. With the increasing particle size, the difference in temperature and volatile yield between the surface and core increases at the end of heating. The results are expected to provide insights into the interaction between heat transfer and volatile yields during pyrolysis of large coal particles.

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Section: Effect Of Particle Size On the Heat Transfer And Volatile Yieldsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

An Improved Comprehensive Model of Pyrolysis of Large Coal Particles to Predict Temperature Variation and Volatile Component Yields

Zhou

Huo

et al. 2019

Energies

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“…Two non-isothermal methods, DAEM and FWO were selected for comparative kinetic analysis. As a model for simulating complex pyrolysis processes, DAEM is not only effective and accurate, but also has many first-order parallel irreversible reactions [24]. It is assumed that errors caused by function mechanism functions can be effectively avoided by using FWO, thus, it is often used to directly find the activation energy [25][26][27].…”

Section: Kinetic Analysesmentioning

confidence: 99%

Comparison of Combustion and Pyrolysis Behavior of the Peanut Shells in Air and N2: Kinetics, Thermodynamics and Gas Emissions

Xiao

Fang

et al. 2020

Sustainability

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The influences of four heating rates on the combustion and pyrolysis behavior in the N2 and air atmosphere were investigated by the Fourier transform infrared spectrometry (FTIR) and thermogravimetric (TG) analysis. the distributed activation energy model (DEAM) and Flynn-Wall-Ozawa (FWO) were used to estimate Ea and A, ΔH, ΔG and ΔS. Experimental results showed that the similar thermal behavior emerged, but the temperatures in the air and N2 atmospheres representing the end of the reaction were about 500 °C and 550 °C, respectively. The results of FTIR showed the peak positions were basically the same, but the concentrations of aromatics, aldehydes and ketones produced by pyrolysis in the N2 atmosphere were higher. When the heating rate was 20 K/min, the comprehensive combustion parameters were 56.442 and 6.871 × 10−7%2/(min2• K3) in the air and N2 atmospheres, respectively, indicating that the peanut shells had great potential to become bioenergy.

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“…The linear correlation coefficient R 2 > 0.95 indicates that E 0 and ln(k 0 ) basically satisfy the kinetic compensation effect. A method reported by Wang et al 28 was adopted to obtain more reasonable kinetic parameters (E 0 , k 0 and s). The average value of activation energy for the conversion rate varying from 0.10 to 0.90 was used as the activation energy E 0 of the DAEM.…”

Section: Daem Kinetics Of Different Stagesmentioning

confidence: 99%

“…In addition to the above methods, the distributed activation energy model (DAEM) is also a widely used pyrolysis kinetic model. [21][22][23][24][25] Compared with the traditional C-R method, DAEM has made great progress in data processing methods such as the Miura differential method 26 and the Miura integral method 27 to eliminate the effect of heating rate on the solutions to the kinetic parameters, and this method has been widely applied in the study of the pyrolysis kinetics of organic polymers such as coal, 28 solid waste 24 and biomass. 29 However, few reports on the thermal debinding kinetics of gelcast ceramic bodies using DAEM are currently available.…”

Section: Introductionmentioning

confidence: 99%

Thermal debinding behavior of a low-toxic DMAA polymer for gelcast ceramic parts based on TG-FTIR and kinetic modeling

Zhang

Yin

et al. 2019

RSC Adv.

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Simulation of pyrolysis in low rank coal particle by using DAEM kinetics model: Reaction behavior and heat transfer

Cited by 81 publications

References 50 publications

An Improved Comprehensive Model of Pyrolysis of Large Coal Particles to Predict Temperature Variation and Volatile Component Yields

An Improved Comprehensive Model of Pyrolysis of Large Coal Particles to Predict Temperature Variation and Volatile Component Yields

Comparison of Combustion and Pyrolysis Behavior of the Peanut Shells in Air and N2: Kinetics, Thermodynamics and Gas Emissions

Thermal debinding behavior of a low-toxic DMAA polymer for gelcast ceramic parts based on TG-FTIR and kinetic modeling

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