Kinetic analyses of biomass pyrolysis using the distributed activation energy model

Sonobe, Taro; Worasuwannarak, Nakorn

doi:10.1016/j.fuel.2007.05.004

Cited by 263 publications

(134 citation statements)

References 22 publications

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“…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. The reason behind this extension is that the assumption of a constant A in a wide domain of E looks unrealistic; one should expect some dependence of A on E. We could not follow Miura's method for the tabular determination of A(E) values because our work is based on models that can produce the simulated counterparts of the experimental data via a numerical solution.…”

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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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%

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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“…He used one DAEM reaction and determined tabular and graphic representations for the activation energy distribution and the dependence of the preexponential factor. His approach has been used in several later works including four references of the Introduction [11,17], 22,25].…”

Section: Calculations With Non-constant Preexponential Factorsmentioning

confidence: 99%

“…Usually the activation energies are assumed to have a distribution [6]. The distributed activation energy models (DAEM) have been used for biomass kinetics since 1985 [7][8][9][10][11][12][13][14][15][16][17][18][19].…”

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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“…DAEM has been recently used in the mathematical study of pyrolysis process. This model is based on the multi reaction models as it presumes that many decomposition reactions of nth-order with distributed activation energies happen simultaneously [10], [11]. The principle of the lumped kinetic model and DAEM are very similar, yet dichotomy between lumped kinetic model and distributed activation energy mode is the number of expected decomposition reactions.…”

Section: Introductionmentioning

confidence: 99%

Kinetic Parameters for the Thermal Decomposition of Forest Waste Using Distributed Activation Energy Model (DAEM)

Dhaundiyal

Tewari

2017

Environmental and Climate Technologies

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Abstract-The purview of paper pivoted around the pyrolysis decomposition of forest waste (pine needle litter) by thermogravimetric analysis (TGA). Experiments were carried out in the presence of Nitrogen atmosphere. The experimental data was compared with those obtained by numerical solution of distributed activation energy model (DAEM). Asymptotic expansion is adopted to evaluate the pre-exponential factor, mean activation energy and variance. The correction factor Bi has been invoked to describe accurately the differential thermogravitmeric curves of thermal decomposition of pine needles.

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Kinetic analyses of biomass pyrolysis using the distributed activation energy model

Cited by 263 publications

References 22 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

Kinetic Parameters for the Thermal Decomposition of Forest Waste Using Distributed Activation Energy Model (DAEM)

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