A Study on Thermal Decomposition Kinetics of Some Turkish Coals

Güneş, Mustafa; Güneş, Semin

doi:10.1080/00908310490450944

Cited by 18 publications

(2 citation statements)

References 31 publications

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“…The distributed activation energy model has been proved successful in describing the decomposition kinetics of various complex materials, such as coal, biomass, and oil shale …”

Section: Application To a Distributed Activation Energy Model Processmentioning

confidence: 99%

Weibull Mixture Model for Modeling Nonisothermal Kinetics of Thermally Stimulated Solid-State Reactions: Application to Simulated and Real Kinetic Conversion Data

Cai

Liu

2007

J. Phys. Chem. B

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The possibility of applying Weibull mixture model for the fitting of the nonisothermal kinetic conversion data has been investigated. It has been found that the kinetic conversion data at different heating rates can be successfully described by one or the linear combination of few Weibull distribution functions. Several simulated and real kinetic conversion traces have been analyzed. An optimal fitting of the kinetic conversion data has been obtained by a mixture of Weibull distribution functions. The results obtained have shown that the obtained conversion curves calculated by the model proposed in this paper are in agreement with the raw kinetic conversion data.

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“…The distributed activation energy model has been proved successful in describing the decomposition kinetics of various complex materials, such as coal, biomass, and oil shale …”

Section: Application To a Distributed Activation Energy Model Processmentioning

confidence: 99%

Weibull Mixture Model for Modeling Nonisothermal Kinetics of Thermally Stimulated Solid-State Reactions: Application to Simulated and Real Kinetic Conversion Data

Cai

Liu

2007

J. Phys. Chem. B

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“…The approach has been shown to be able to estimate kinetic parameters without modeling assumptions [24, 25]. The kinetics of the thermal decomposition based on the rate equation for solid state decomposition processes [14] can be written as follows:

\begin{matrix} \frac{d x}{d t} = k f (x), \end{matrix}

where x is the decomposed fraction of solid at time t , f ( x ) is a function of x depending on the reaction mechanism, and k is the rate constant given by the Arrhenius equation for nonisothermal chemical reaction as

\begin{matrix} k = k_{0} \exp (\frac{- E}{R T}), \end{matrix}

where A is the preexponential factor, E is the apparent activation energy, R is the universal gas constant, and T is the absolute temperature. Replacing k with the Arrhenius equation gives

\begin{matrix} \frac{d x}{d t} = A \exp (\frac{- E}{R T}) f (x) . \end{matrix}

…”

Section: Methodsmentioning

confidence: 99%

Nonisothermal Thermogravimetric Analysis of Thai Lignite with High CaO Content

Pintana

Tippayawong

2013

The Scientific World Journal

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Thermal behaviors and combustion kinetics of Thai lignite with different SO3-free CaO contents were investigated. Nonisothermal thermogravimetric method was carried out under oxygen environment at heating rates of 10, 30, and 50°C min−1 from ambient up to 1300°C. Flynn-Wall-Ozawa (FWO) and Kissinger-Akahira-Sunose (KAS) methods were adopted to estimate the apparent activation energy (E) for the thermal decomposition of these coals. Different thermal degradation behaviors were observed in lignites with low (14%) and high (42%) CaO content. Activation energy of the lignite combustion was found to vary with the conversion fraction. In comparison with the KAS method, higher E values were obtained by the FWO method for all conversions considered. High CaO lignite was observed to have higher activation energy than the low CaO coal.

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Activation energy distribution in pyrolysis of Thar coal, Pakistan

Khan

Sarwar

Shah

2015

Asia-Pacific J Chem Eng

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Thermochemical decomposition of 16 samples of low-rank Thar coal has been investigated using nonisothermal thermogravimetric data under an inert environment. Rapid weight loss of volatiles was found in the regions of 164-233 and 473-503°C. Kinetics of pyrolysis reaction showed that the volatiles released in three consecutive steps follow first-order reaction. The kinetic evaluation focuses on all the steps to estimate activation energy, pre-exponential factor and the contribution of each step to the overall reaction. The results showed that evaporation of moisture and low-temperature volatile compounds require 3.17-4.81 kJ mol À1 activation energy. The combustion of char required a higher amount of energy (10.86-36.11 kJ mol À1). The formation of secondary char required 10.34-24.00 kJ mol À1 energy. The results suggested that Thar coal has a substantial potential for gasification due to high volatile content and low activation energy.

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A Study on Thermal Decomposition Kinetics of Some Turkish Coals

Cited by 18 publications

References 31 publications

Weibull Mixture Model for Modeling Nonisothermal Kinetics of Thermally Stimulated Solid-State Reactions: Application to Simulated and Real Kinetic Conversion Data

Weibull Mixture Model for Modeling Nonisothermal Kinetics of Thermally Stimulated Solid-State Reactions: Application to Simulated and Real Kinetic Conversion Data

Nonisothermal Thermogravimetric Analysis of Thai Lignite with High CaO Content

Activation energy distribution in pyrolysis of Thar coal, Pakistan

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