Modeling the evolution of volatile species during tobacco pyrolysis

Wójtowicz, Marek A.; Bassilakis, R.; Smith, Wayne; Chen, Yonggang; Carangelo, Robert M.

doi:10.1016/s0165-2370(02)00116-x

Cited by 76 publications

(115 citation statements)

References 13 publications

Supporting

Mentioning

107

Contrasting

Order By: Relevance

“…[22][23][24][25][26][27][28][29] According to this model the sample is regarded as a sum of M pseudocomponents, where M is usually between 2 and 4. Here a pseudocomponent is the totality of those decomposing species which can be described by the same reaction kinetic parameters in the given model.…”

Section: Distributed Activation Energy Model (Daem)mentioning

confidence: 99%

“…Due to the complexity of the investigated materials the model was expanded to simultaneous parallel reactions (pseudocomponents) that were described by separate DAEMs. [22][23][24][25] The increased number of unknown model parameters required the least squares evaluation of larger series of experiments with linear and non-linear temperature programs. 22,[26][27][28][29] The model parameters obtained in this way allowed accurate prediction outside the domain of the experimental conditions of the given kinetic evaluations.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Thermal Decomposition Kinetics of Woods with an Emphasis on Torrefaction

et al. 2013

View full text Add to dashboard Cite

ABSTRACT. The pyrolysis kinetics of Norwegian spruce and birch wood was studied to obtain information on the kinetics of torrefaction. Thermogravimetry (TGA) was employed with nine different heating programs, including linear, stepwise, modulated and constant reaction rate (CRR) experiments. The 18 experiments on the two feedstocks were evaluated simultaneously by the 2 method of least squares. Part of the kinetic parameters could be assumed common for both woods without a considerable worsening of the fit quality. This process results in better defined parameters and emphasizes the similarities between the woods. Three pseudocomponents were assumed. Two of them were described by distributed activation energy models (DAEM), while the decomposition of the cellulose pseudocomponent was described by a self-accelerating kinetics. In another approach all the three pseudocomponents were described by n-order reactions. Both approaches resulted in nearly the same fit quality but the physical meaning of the model based on three n-order reactions was found to be problematic. The reliability of the models was tested by checking how well the experiments with higher heating rates can be described by the kinetic parameters obtained from the evaluation of a narrower subset of 10 experiments with slower heating. A table of data was calculated that may provide guidance about the extent of devolatilization at various temperatureresidence time values during wood torrefaction.

show abstract

Section: Distributed Activation Energy Model (Daem)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Thermal Decomposition Kinetics of Woods with an Emphasis on Torrefaction

et al. 2013

View full text Add to dashboard Cite

show abstract

“…20 Later this type of research was extended to a wider range of biomasses and materials derived from plants, including several studies on tobacco devolatilization. [21][22][23][24][25][26][27][28][29][30][31][32] Despite the complicated mathematics of this type of modeling, the works based on DAEM kinetics have frequently employed more than one parallel reaction. The resolution of the overlapping curves by parallel DAEM reactions and the finding of a good fit were achieved by a trial-and-error parametersearch in several studies.…”

Section: Introductionmentioning

confidence: 99%

“…The resolution of the overlapping curves by parallel DAEM reactions and the finding of a good fit were achieved by a trial-and-error parametersearch in several studies. 24,25,28,33 Burnham et al reported a versatile computer software in 1987 that was capable for the determination of the unknown model parameters by nonlinear regression. 34 The same software was also able to determine discrete, empirical distribution functions for the activation energy during the evaluation of non-isothermal experiments.…”

Section: Introductionmentioning

confidence: 99%

Thermogravimetric Study of Biomass Pyrolysis Kinetics. A Distributed Activation Energy Model with Prediction Tests

et al. 2010

View full text Add to dashboard Cite

ABSTRACT. The pyrolysis of four biomasses (corn stalk, rice husk, sorghum straw and wheat straw) was studied at different temperature -time functions in inert gas flow by thermogravimetric analysis (TGA). Linear and stepwise heating programs were employed. A distributed activation energy model (DAEM) with three pools of reactant (three pseudocomponents) was used due to the complexity of the biomass samples of agricultural origin. Compensation effects were observed between the kinetic parameters similarly to the works of other investigators. The compensation effects result in ambiguous parameter values hence they were eliminated by decreasing the number of the unknown parameters. For this purpose part of the kinetic parameters was assumed to be the same for the four biomasses. This approach also helps to express the similarities of the samples in the model. The sixteen experiments were evaluated simultaneously by the method of least squares to obtain dependable kinetic parameters. 2The resulting models described well the experimental data and were suitable for predicting experiments at higher heating rates. The checks on the prediction capabilities were considered to be an essential part of the model verification.

show abstract

“…5 This type of research was subsequently extended to a wider range of biomasses and materials derived from plants including several works on tobacco devolatilization. [6][7][8][9] Saidi et al employed a DAEM in an actual combustion model. 10 Becidian et al 11 described the pyrolysis of wastes from brewery, industrial coffee roasting, and fiberboard furniture production by DAEM kinetics.…”

Section: Introductionmentioning

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.

View full text Add to dashboard Cite

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.

show abstract

Modeling the evolution of volatile species during tobacco pyrolysis

Cited by 76 publications

References 13 publications

Thermal Decomposition Kinetics of Woods with an Emphasis on Torrefaction

Thermal Decomposition Kinetics of Woods with an Emphasis on Torrefaction

Thermogravimetric Study of Biomass Pyrolysis Kinetics. A Distributed Activation Energy Model with Prediction Tests

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

Contact Info

Product

Resources

About