Thermogravimetric study of the pyrolysis of biomass residues from tomato processing industry

Mangut, V.; Sabio, E.; Gañán, J.; González, J.F.; Ramiro, A.; González, Carmen Martínez; Román, S.; Al-Kassir, A.

doi:10.1016/j.fuproc.2005.08.006

Cited by 88 publications

(46 citation statements)

References 19 publications

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“…The first is the most extended option in the bibliography [9][10][11][12][13] and the second is proposed because its response is very similar to the behaviour of the biomass observed in the literature [9] and in previous studies. Both kinetic equations considered an Arrhenius' dependence with temperature.…”

Section: Kineticsmentioning

confidence: 70%

“…The most extended idea in the literature [5,6,[9][10][11][12][13]] is a reaction pathway based on the Waterloo-mechanism. This theory establishes that, under slow pyrolysis conditions, biomass decomposes to charcoal and gases via dehydration reactions [14,15].…”

Section: Reaction Mechanismmentioning

confidence: 99%

“…On the other hand, V. Mangut et al [10] proposed a kinetic model of n th -order for the degradation of residues from tomato processing industry which could reproduce the biomass behaviour. But A. Zabaniotoua et al [11], K. Slopiecka et al [12] and E. Kastanaki et al.…”

Section: Introductionmentioning

confidence: 99%

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Autocatalytic kinetic model for thermogravimetric analysis and composition estimation of biomass and polymeric fractions

Cabeza

Sobrón

Yedro

et al. 2015

Fuel

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A comprehensive kinetic model of slow pyrolysis of biomass during a Thermogravimetric analysis (TGA) has been developed, including the simulation of variable heating rates, composition estimation and structural analysis of biomass.Biomass was assumed as a matrix of three solid global components (hemicellulose, cellulose and lignin) in which water and oil can be also present.Kinetics were based on an auto-catalytic model because it can simulate the degradation in cellulosic materials, as the cleavage of the biopolymers produce oligomers that accelerate the further depolymerisation. The reaction pathway followed the Waterloo's mechanism, which stablishes that all solid compounds decompose into volatiles and charcoal. This mechanism was completed by the vaporization of water and oil, and assuming that the formed charcoal can break into volatiles by a slow reaction. The set was solved by the 8 th Runge-Kutta's method and validated by the Simplex Nelder-Mead and Broyden-Fletcher-Goldfarb-Shanno's methods. The development of this model has a high interest because it can help to understand how the conversion from biomass to biochemicals takes place.To assess what parameters can affect the thermal degradation of biomass pure polymeric samples of hemicellulose, cellulose and lignin and complex samples (seeds and woody biomass) were studied and fitted. Two types of operations were consideredtoo. An isothermal degradation from 150ºC up to 350ºC with increments of 50ºC, and a non-isothermal decomposition with heating rate of 5ºC/min, 10ºC/min and 20ºC/min up to temperatures around 800ºC, depending on the studied sample. Average absolute deviations lower than 7% were obtained. It was deduced that there are some interactions between the three main biomass compounds. These interactions were observed by the variations in the kinetic parameters between complex and pure 2 samples, also they were perceived between the isothermal and no-isothermal way. On the other hand, an effect of the biomass structure has been reported by the differences between the kinetics of the seeds and of the woody samples. It is remarkable that the developed model could reproduce the cellulose decomposition with a variable heating rate using a unique set of kinetic parameters. This was possible by a no-Arrhenius' dependence with temperature. In the same way, it was used to predict the initial composition of the studied biomass with deviations lower than 7% for lignin and cellulose.

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Section: Kineticsmentioning

confidence: 70%

Section: Reaction Mechanismmentioning

confidence: 99%

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Autocatalytic kinetic model for thermogravimetric analysis and composition estimation of biomass and polymeric fractions

Cabeza

Sobrón

Yedro

et al. 2015

Fuel

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“…Though, various mathematical modeling have been adopted to describe the process of degradation of biomass [6], [7]. There is also a model that is usually implemented in case of ultimate number parallel decomposition reaction, is also known as lumped kinetic model [8], [9]. DAEM has been recently used in the mathematical study of pyrolysis process.…”

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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“…Mangut et al [3] carried out a thermogravimetric study of the thermal decomposition of residues from the tomato processing industry: peels, seeds and peels + seeds. They considered 13 fractions, obtaining for each one of them the corresponding kinetic parameters of the thermal decomposition.…”

Section: Introductionmentioning

confidence: 99%

Kinetic study of the pyrolysis and combustion of tomato plant

Font

Moltó

Gálvez

et al. 2009

Journal of Analytical and Applied Pyrolysis

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Thermogravimetric study of the pyrolysis of biomass residues from tomato processing industry

Cited by 88 publications

References 19 publications

Autocatalytic kinetic model for thermogravimetric analysis and composition estimation of biomass and polymeric fractions

Autocatalytic kinetic model for thermogravimetric analysis and composition estimation of biomass and polymeric fractions

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

Kinetic study of the pyrolysis and combustion of tomato plant

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