A New and Simple Method to Estimate f(E) and k0(E) in the Distributed Activation Energy Model from Three Sets of Experimental Data

Miura, Kouichi

doi:10.1021/ef00050a014

Cited by 346 publications

(251 citation statements)

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“…32 The corresponding evaluation was based on the tabular and graphic representations for the activation energy distribution and the dependence of the pre-exponential factor. Miura's approach has been used in many later works, including a modified evaluation method 33 and a recent work on biomass pyrolysis. 34 In this section a pre-exponential factor depending on E will be introduced into the model of the present work.…”

Section: Daem Devolatilization With Non-constant Pre-exponential Factormentioning

confidence: 99%

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Thermogravimetric Analysis of Tobacco Combustion Assuming DAEM Devolatilization and Empirical Char-Burnoff Kinetics

Várhegyi

Czégény

Liu³

et al. 2009

Ind. Eng. Chem. Res.

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ABSTRACT. Two blends of tobacco (Virginia and Burley) were studied by thermogravimetry at linear and nonlinear heating programs in gas flows containing 2, 4 and 9% oxygen. A kinetic scheme of successive devolatilization and char burn-off reactions was assumed. A distributed activation energy model was assumed for the devolatilization with a Gaussian distribution and a constant pre-exponential factor. The evaluations were also carried out using non-constant pre-exponential factors that depended on the activation energy. The char burn-off was described by first order kinetics and by an empirical model that took into account the change of the reactivity with the conversion of the sample. The dependence of the rate of combustion on the oxygen concentration was approximated by a power function. Series of 15 and 30 experiments were used for the determination of the model parameters by simultaneous least squares evaluation of the experiments. The considerations, methods and results can also be used in the field of biomass gasification and combustion.

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Section: Daem Devolatilization With Non-constant Pre-exponential Factormentioning

confidence: 99%

“…Accordingly equations built from analytical formulas were considered. An empirical formula was adapted from the work of Miura 32 and Hashimoto et al 35 that assumes a linear dependence between E and the logarithm of the activation energy:…”

Section: Daem Devolatilization With Non-constant Pre-exponential Factormentioning

confidence: 99%

Thermogravimetric Analysis of Tobacco Combustion Assuming DAEM Devolatilization and Empirical Char-Burnoff Kinetics

Várhegyi

Czégény

Liu³

et al. 2009

Ind. Eng. Chem. Res.

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“…In 1995 Miura [22] suggested the use of distributed activation energy models with preexponential factors that depend on the activation energy. He used one DAEM reaction and determined tabular and graphic representations for the activation energy distribution and the dependence of the preexponential factor.…”

Section: Calculations With Non-constant Preexponential Factorsmentioning

confidence: 99%

“…Miura [22] and Miura and Maki [23] developed methods to determine empirical distribution functions for E together with a dependence of the preexponential factor on E. Their model was employed in studying coals [22][23][24], biomass [11,17] and other materials [25].…”

Section: Introductionmentioning

confidence: 99%

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Kinetics of cellulose pyrolysis after a pressurized heat treatment

Várhegyi

Zha

2009

Thermochimica Acta

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A hot pressure treatment (HPT) converts celluloses into an advantageous feedstock for activated carbon preparation. Other ways of utilization may also emerge in the future. In the present paper the pyrolysis kinetics of three HPT cellulose samples were studied by thermogravimetric analysis (TGA) at linear and stepwise temperature programs. A distributed activation energy model was used assuming two partial reactions. Nine experiments on three samples were evaluated simultaneously by the method of least squares. 20 unknown parameters were determined in this way. Good fits were obtained at the linear and stepwise temperature programs alike. The evaluations were also carried out by non-constant preexponential factors that depended on the activation energy. The considerations and evaluation methods of the paper are hoped to help the investigations of other biomass materials, too. The results showed that part of the cellulose remained unconverted and another part only partially converted at the mildest pretreatment conditions of this study. The cellulose was wholly transformed in the pretreatment when either the pressure or the temperature was increased.

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Challenges in the Computation of Rate Constants for Lignin Model Compounds

Beste

Buchanan

2011

Rate Constant Calculation for Thermal Reactions

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A New and Simple Method to Estimate f(E) and k0(E) in the Distributed Activation Energy Model from Three Sets of Experimental Data

Cited by 346 publications

References 0 publications

Thermogravimetric Analysis of Tobacco Combustion Assuming DAEM Devolatilization and Empirical Char-Burnoff Kinetics

Thermogravimetric Analysis of Tobacco Combustion Assuming DAEM Devolatilization and Empirical Char-Burnoff Kinetics

Kinetics of cellulose pyrolysis after a pressurized heat treatment

Challenges in the Computation of Rate Constants for Lignin Model Compounds

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