Thermogravimetric studies of the behavior of lignite–biomass blends during devolatilization

Kastanaki, Eleni; Vamvuka, Despina; Grammelis, Panagiotis; Kakaras, Emmanuel

doi:10.1016/s0378-3820(02)00049-8

Cited by 177 publications

(88 citation statements)

References 12 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%

“…But A. Zabaniotoua et al [11], K. Slopiecka et al [12] and E. Kastanaki et al. [13] studied the TGA kinetics of several lignocellulosic biomass samples, poplar wood and lignite-biomass blends respectively with a first order model and they each biomass compound. Therefore, the behaviour of each of them could be simulated and the physical sense of the parameters checked.…”

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%

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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“…Several authors have observed interactions between the components of coal and biomass blends [10,37], while others have reported additive behaviour [38][39][40][41][42][43]. Table 3 shows the kinetic parameters (E, k 0 and ψ) determined from the data obtained at the three heating rates (5, 10 and 15 K min -1 ) for all the char samples together with the coefficients of determination, R 2 , for each model and char sample.…”

Section: Interactions Between the Components Of The Blendsmentioning

confidence: 99%

Kinetic models comparison for non-isothermal steam gasification of coal–biomass blend chars

Fermoso

Gil

Pevida

et al. 2010

Chemical Engineering Journal

121

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The non-isothermal thermogravimetric method (TGA) was applied to a bituminous coal (PT), two types of biomass, chestnut residues (CH) and olive stones (OS), and coalbiomass blends in order to investigate their thermal reactivity under steam. Fuel chars were obtained by pyrolysis in a fixed-bed reactor at a final temperature of 1373 K for 30 min. The gasification tests were carried out by thermogravimetric analysis from room temperature to 1373 K at heating rates of 5, 10 and 15 K min -1 . After blending, no significant interactions were detected between PT and CH during co-gasification, whereas deviations from the additive behaviour were observed in the PT-OS blend.However, for the two coal-biomass blends, the gasification behaviour resembled that of the individual coal, as this component constituted the larger proportion of the blend. The temperature-programmed reaction (TPR) technique was employed at three different heating rates to analyze noncatalytic gas-solid reactions. Three nth-order representative gas-solid models, the volumetric model (VM), the grain model (GM) and the random pore model (RPM) were applied in order to describe the reactive behaviour of the chars during steam gasification. From these models, the kinetic parameters were determined.The best model for describing the reactivity of the PT, PT-CH and PT-OS samples was the RPM model. VM was the model that best fitted the CH sample, whereas none of the models was suitable for the OS sample.

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“…A partir de estas curvas (TGA/DTA) los autores calcularon los parámetros de energía de activación y el factor pre-exponencial, los cuales no fueron muy diferentes a los encontrados en la literatura, y por lo tanto se considera aceptable el modelo cinético propuesto de primer orden (Kastanaki et al 2002). De acuerdo al tamaño de partícula y a la velocidad de descomposición, los autores indicaron que, al aumentar su tamaño (2-19mm), la constante cinética (k) evoluciona hacia velocidades de descomposición más bajas.…”

Section: Pinus Pinasterunclassified

Estudio de cinética en procesos termogravimétricos de materiales lignocelulósicos

Flores

Rutiaga-Quiñones

2018

Maderas, Cienc. tecnol.

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RESUMENLa madera de pino representa el 20% de las especies forestales plantadas en todo el mundo, y actualmente es de vital importancia en aplicaciones industriales como en aserrío, fabricación de papel y medicina. Actualmente, se ha destacado su uso en aplicaciones energéticas. En este estudio se presenta una breve revisión sobre el análisis térmico realizado a diversas especies de madera de pino. Se enfoca principalmente al análisis de los resultados respecto a cómo varía el contenido de masa o pérdida de peso con el cambio de temperatura a partir del análisis de las curvas de termogravimetría y su derivada. Se considerarón diversas especies de madera de pino: Pinus caribaea, Pinus patula, Cupressus sempervirens, Pinus pinaster, Pinus radiata, Pinus sylvestris, Pinus pinea y Pinus taeda.Con el objetivo de mostrar las diferencias y similitudes respecto a la estabilidad térmica de las especies mencionadas, se han discutido los principales parámetros a partir de las curvas de termogravimetría como energía de activación, factor pre-exponencial y orden de reacción. Además, se examinan las etapas de descomposición de acuerdo a los principales componentes de la madera tales como agua, celulosa, hemicelulosa, lignina y extractivos.Palabras clave: Conversión térmica, Cupressus sempervirens, energía renovable, parámetros cinéticos, Pinus sp. ABSTRACTPine wood accounts for 20% of the world's planted forest species, and is currently of vital importance in industrial applications such as sawmills, papermaking and medicine. Actually, its use in energy applications has been emphasized. This study presents a brief review on the thermal analysis of various species of pine wood. We focus mainly on the analysis of the results regarding how the mass content or weight loss varies with the temperature change from the analysis of the thermogravimetric curves and its derivative. Several species of pine wood have been considered: Pinus caribaea, Pinus patula, Cupressus sempervirens, Pinus pinaster, Pinus radiata, Pinus sylvestris, Pinus pinea and Pinus taeda. In order to show the differences and similarities with respect to the thermal stability of the mentioned species, we have discussed the main parameters from the thermogravimetry curves such as activation energy, pre-exponential factor and reaction order. In addition, the decomposition stages are examined according to the main components of the wood such as water, cellulose, hemicellulose, lignin and extractives.

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Thermogravimetric studies of the behavior of lignite–biomass blends during devolatilization

Cited by 177 publications

References 12 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 models comparison for non-isothermal steam gasification of coal–biomass blend chars

Estudio de cinética en procesos termogravimétricos de materiales lignocelulósicos

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