Characterization and non-isothermal kinetics of Shenmu bituminous coal devolatilization by TG-MS

Zou, Chong; Ma, Cheng; Zhao, Junxue; Shi, Rui; Li, Xiaoming

doi:10.1016/j.jaap.2017.07.020

Cited by 64 publications

(23 citation statements)

References 42 publications

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“…This is mainly due to the release of CH4, which has a maximum rate of 596.1 °C, as displayed in Figure 5. Similar results have also been reported by Zou et al [47]. They concluded that the product of CH4 has a wide temperature range, from 331 °C to 907 °C, and its maximum rate occurs around 540 °C.…”

Section: Temperature Distribution and Volatile Component Yieldssupporting

confidence: 90%

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: Temperature Distribution and Volatile Component Yieldssupporting

confidence: 90%

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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“…Furthermore, the study showed that the distribution of pyrolysis products is comprised of tar, fuels gas, and char. These findings are corroborated by Zou et al (2017) whose study showed that coal pyrolysis results in a fuel gas mixture comprising; hydrogen (H2), carbon dioxide (CO2), carbon monoxide (CO), methane (CH4) and water vapour (H2O) and ethylene (C2H2) based on the TG-MS and gas evolution.…”

Section: Thermal Propertiesmentioning

confidence: 56%

“…The first stage could be ascribed to drying or loss of coal surface moisture along with low molecular weight volatile components below 200 °C (Xie et al 2013). Zou et al (2017) reported that the loss of mass during this stage of coal degradation is also ascribed to the evolution of moisture, free radical groups, and hydrogen (H2). Accordingly, the second stage observed between 200 °C and 500 °C and from 200 °C to 600 °C for the oxidative and non-oxidative processes, respectively, could be attributed to the bond cleavage or cracking of tar along with the evaporation and transport of evolved gases during the thermal degradation of coal macromolecules (Zou et al 2017).…”

Section: Thermal Propertiesmentioning

confidence: 99%

“…Zou et al (2017) reported that the loss of mass during this stage of coal degradation is also ascribed to the evolution of moisture, free radical groups, and hydrogen (H2). Accordingly, the second stage observed between 200 °C and 500 °C and from 200 °C to 600 °C for the oxidative and non-oxidative processes, respectively, could be attributed to the bond cleavage or cracking of tar along with the evaporation and transport of evolved gases during the thermal degradation of coal macromolecules (Zou et al 2017). Likewise, this stage could also be due to the thermal degradation of coal components such as macerals, as earlier surmised.…”

Section: Thermal Propertiesmentioning

confidence: 99%

“…The last stage (> 500 °C and 600 °C) resulted in low mass losses for both oxidative and non-oxidative processes as evident in the tailing (mass loss plateaux) observed in Figures 8 and 9. Various researchers have attributed the mass loss in this region to the decomposition of mineral matter and condensation of aromatic rings due to secondary degassing reactions, which occur at high temperatures (Zou et al 2017).…”

Section: Thermal Propertiesmentioning

confidence: 99%

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Physicochemical, Mineralogy, and Thermo-Kinetic Characterisation of Newly Discovered Nigerian Coals under Pyrolysis and Combustion Conditions

Nyakuma

Jauro

Akinyemi

et al. 2020

Preprint

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In this study, the physicochemical, microstructural, mineralogical, thermal, and kinetic properties of three (3) newly discovered coals from Akunza (AKZ), Ome (OME), and Shiga (SHG) in Nigeria were examined for potential energy recovery. Physicochemical analysis revealed high combustible but low levels of polluting elements. The higher heating values (HHV) ranged from 18.65 MJ/kg (AKZ) to 26.59 MJ/kg (SHG). Microstructure and mineralogical analyses revealed particles with a rough texture, surfaces, and glassy lustre, which could be ascribed to metals, quartz, and kaolinite minerals. The major elements (C, O, Si, and Al), along with minor elements (Ca, Cu, Fe, K, Mg, S, and Ti) detected are associated with clays, salts, or the porphyrin constituents of coal. Thermal analysis showed mass loss (M L ) ranges from 30.51% – 87.57% and residual mass (R M ) from 12.44% – 69.49% under combustion (oxidative) and pyrolysis (non-oxidative) TGA conditions due to thermal degradation of organic matter, vitrinite, inertinite and liptinite macerals. Kinetic analysis revealed that the coal samples are highly reactive under the non-isothermal oxidative and non-oxidative conditions based on the Coats-Redfern Model. The activation energy ( E a ) ranged from 23.81 kJ/mol – 89.56 kJ/mol whereas the pre-exponential factor ( k o ) ranged from 6.77×10 -04 min -1 – 1.72×10 03 min -1 under pyrolysis and combustion conditions. In conclusion, the coals are practical feedstocks for either industrial applications or energy recovery.

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Comparison of isothermal and nonisothermal combustion methods when evaluating semicoke for pulverized coal injection of blast furnace

Zou

Zhao

et al. 2022

Asia-Pacific J Chem Eng

Self Cite

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Using semicoke instead of anthracite for pulverized coal injection (PCI) in a blast furnace can greatly reduce the cost of iron making, but the combustion performance of semicoke first needs to be accurately predicted. In this study, the combustion performances of different fuels were compared and analyzed in a drop tube furnace (DTF) and under isothermal and nonisothermal conditions. The results showed that semicoke had a better combustion performance than coal in the DTF. Isothermal combustion provided a more consistent performance evaluation of the fuels because the effect of volatiles was eliminated. Nonisothermal combustion significantly differed from the DTF results because of the influence of volatiles; after the fuels received high‐temperature treatment for devolatilization, the combustion performance was consistent with the DTF results. The influencing factors for the fuel combustion performance differed according to the combustion conditions. For the DTF, the burnout rate was correlated with the pore structure and microcrystalline structure, especially the latter. For isothermal combustion, the combustion characteristic parameter and microcrystalline structure d002 and Lc after high‐temperature treatment were strongly correlated. For nonisothermal combustion, the combustion characteristic parameters were strongly correlated with the volatile content. The above results can serve as a reference for evaluating the combustion performance of different fuels in a blast furnace using PCI.

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Characterization and non-isothermal kinetics of Shenmu bituminous coal devolatilization by TG-MS

Cited by 64 publications

References 42 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

Physicochemical, Mineralogy, and Thermo-Kinetic Characterisation of Newly Discovered Nigerian Coals under Pyrolysis and Combustion Conditions

Comparison of isothermal and nonisothermal combustion methods when evaluating semicoke for pulverized coal injection of blast furnace

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