Solid fossil fuels thermal decomposition features in air and argon

Эпштейн, С. А.; Kossovich, E. L.; Kaminskii, V. A.; Durov, N. M.; Dobryakova, N. N.

doi:10.1016/j.fuel.2017.02.084

Cited by 11 publications

(3 citation statements)

References 42 publications

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“…Zhang et al centered their research on the relationship between the thermal properties and kinetic parameters of vitrinite-rich and inertinite-rich concentrates and coal rank (Zhang et al, 2016). Conversely, Epshtein et al correlated the kinetic parameters of coal pyrolysis and combustion with coal rank and degree of aromaticity (Epshtein et al, 2017).…”

Section: To Develop Anmentioning

confidence: 99%

The influence of chemical structure on the kinetics of coal pyrolysis

Casal

Vega

Díaz-Faes

et al. 2018

International Journal of Coal Geology

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The pyrolysis characteristics of a series of bituminous coals, along with an anthracite and a lignite, were studied by means of thermogravimetric analysis (TGA). The kinetic parameters were determined by the integral method assuming that coal pyrolysis is a first-order reaction. The chemical coal structure was determined by means of diffuse reflectance Fourier transform infrared spectroscopy (DRIFTS), whereas the thermoplastic properties of the coals were studied by applying Gieseler plastometry. The kinetic parameters obtained are discussed in relation to the chemical structure, thermoplastic properties, rank and volatile matter evolution of the coal. In addition, the origin of the "kinetic compensation effect" between the activation energy and the preexponential factor for these bituminous coals was investigated.

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Section: To Develop Anmentioning

confidence: 99%

The influence of chemical structure on the kinetics of coal pyrolysis

Casal

Vega

Díaz-Faes

et al. 2018

International Journal of Coal Geology

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“…According to Starink, 45 most of the solid‐state reactions occur in the 15 < x < 60 range, although, due to physical reasons, it can be considered that a more extended range (9 < x < 100) covers all the cases of practical significance. Our own calculations with data taken from the literature show the following x ranges for different processes: 5 < x < 75 for coal pyrolysis and combustion 46 and 20 < x < 80 for biomass, plastic waste, and oxalate pyrolysis 47–49 . Therefore, a high accuracy for the general temperature integral is required in the 5 < x < 100 range.…”

Section: Resultsmentioning

confidence: 88%

Combined kinetic analysis of solid‐state reactions: The integral method (ICKA)

Casal

Marbán

2020

Int J of Chemical Kinetics

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In this work, we propose the first Integral method for the Combined Kinetic Analysis (ICKA) of solid-state reactions typically performed in a thermogravimetric analyzer. The ICKA method prevents the systematic inaccuracies inherent to all the differential methods, including the standard CKA method. Two main achievements have been made for implementing the method: (1) the most accurate approximation for the general temperature integral yet developed, and (2) a general integral form of the kinetic model of the type g (α) = (abcZ) −1 [1 − (1 − α a) b ] c , where Z is a parameter evaluated together with the preexponential factor and a, b, and c are fitting parameters. This expression allows any known kinetic model to be exactly or very closely reproduced. Together, the two developments yield an equation for the conversion, α, that has been successfully fitted to simulated conversion values of single-step reaction processes following different kinetic models. The curve fitting resulted in the same values of the kinetic and model parameters as those from which the simulated conversion curves were originally built, proving the validity of the ICKA method.

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“…The thermal decomposition of some solid fuels, such as biomass and coal, usually involves multiple decomposition processes due to varying kinetic behaviors of their components. , The DAEM can successfully describe a single process, but difficult to fit multiple subprocesses . Burnham and co-workers , developed the kinetics software LLNL (currently Kinetics2015) and proposed some comprehensive models with parallel Gaussian activation energy distributions or combination of the one sigmoidal model and the other Gaussian DAEM for the decomposition of polymers and oil shale.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Analysis of Double Logistic Distributed Activation Energy Model for Thermal Decomposition Kinetics of Solid Fuels

Dong

Yang

Cai

et al. 2018

Ind. Eng. Chem. Res.

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The distributed activation energy model (DAEM) has been widely used to analyze the thermal decomposition of solid fuels such as lignocellulosic biomass and its components, coal, microalgae, oil shale, waste plastics, and polymer etc. The DAEM with a single distribution of activation energies cannot describe those reactions well since the thermal decomposition normally involves multiple sub-processes of various components. The double DAEM employs a double distribution to represent the activation energies. The Gaussian distribution is usually used to represent the activation energies. However, it is not sufficiently accurate for addressing the activation energies in the initial and final stages of the thermal decomposition

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Solid fossil fuels thermal decomposition features in air and argon

Cited by 11 publications

References 42 publications

The influence of chemical structure on the kinetics of coal pyrolysis

The influence of chemical structure on the kinetics of coal pyrolysis

Combined kinetic analysis of solid‐state reactions: The integral method (ICKA)

Theoretical Analysis of Double Logistic Distributed Activation Energy Model for Thermal Decomposition Kinetics of Solid Fuels

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