Modelling and experimental studies on pyrolysis of biomass particles

Sadhukhan, Anup Kumar; Gupta, Parthapratim; Saha, Ranajit

doi:10.1016/j.jaap.2007.11.007

Cited by 74 publications

(44 citation statements)

References 25 publications

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“…Isolated experimental investigation into pyrolysis reactions and kinetics is extremely difficult due to several factors, such as, fast reactions, short residence times, high temperatures and transport limitations. Additionally, due to lack of knowledge of the reaction chemistry, studies investigating transport effects assumed few pseudo and lumped reactions (with fitted kinetic parameters) for pyrolysis (Blasi, 1996;Di Blasi, 1996;Hagge and Bryden, 2002;Chaurasia, 2004a, 2004b;Chaurasia and Kulkarni, 2007;Zabaniotou and Damartzis, 2007;Sadhukhan et al, 2008;Sreekanth and Leckner, 2008;Sadhukhan et al, 2009;Dufour et al, 2011;Haseli et al, 2011aHaseli et al, , 2011bHaseli et al, , 2012aHaseli et al, , 2012bPeters, 2011;Anca-Couce and Zobel, 2012;Blondeau and Jeanmart, 2012;Lin et al, 2012;Okekunle et al, 2012;Sharma et al, 2014). The prediction capability of such models remains very limited.…”

Section: Technological Challenges In Developing Biomass Conversion Tementioning

confidence: 99%

Multiscale molecular modeling can be an effective tool to aid the development of biomass conversion technology: A perspective

Mushrif

Vasudevan

Krishnamurthy

et al. 2015

Chemical Engineering Science

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Section: Technological Challenges In Developing Biomass Conversion Tementioning

confidence: 99%

Multiscale molecular modeling can be an effective tool to aid the development of biomass conversion technology: A perspective

Mushrif

Vasudevan

Krishnamurthy

et al. 2015

Chemical Engineering Science

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“…The latter assumption has been previously adapted in several pyrolysis modeling studies; e.g. [5,[13][14][15][16][17][18][19][20], and it has been revealed that the main characteristics of the phenomenon could be captured by employing proper values for the kinetic data and the heat of reactions. Given that in some other studies shrinkage of particle during devolatilization has been modeled, Bellais et al [21], and Hagge and Bryden [22] have reported negligible impact of this effect on the process parameters.…”

Section: Figmentioning

confidence: 99%

“…Hence, in order to verify the accuracy of the pyrolysis model both heat and mass transport parameters need to be validated against measured data; see also Ref. [12,13,[18][19][20]29,30].…”

Section: Experimental Validationmentioning

confidence: 99%

Numerical study of the conversion time of single pyrolyzing biomass particles at high heating conditions

Haseli

Oijen

Goey

2011

Chemical Engineering Journal

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“…Therefore, it is important to discuss the effect of intra-partcle heat transfer on pyrolysis. Although researchers have investigated the effect of heat transfer during biomass pyrolysis (5)(6)(7) , numerical and experimental information available about the effect of heating rate on intra-particle transport phenomena is insufficient.…”

Section: Introductionmentioning

confidence: 99%

Numerical and Experimental Investigation of Intra-Particle Heat Transfer and Tar Decomposition during Pyrolysis of Wood Biomass

Okekunle

Pattanotai

Watanabe

et al. 2011

JTST

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Pyrolysis of cylindrical woody biomass has been investigated both numerically and experimentally with emphasis on intra-particle heat transfer and tar decompostion. In experiment, wood cylinder of 8 mm diameter and 9 mm length was pyrolyzed in an infrared reactor exposed to both convective and radiative heat fluxes in argon environment. The final reactor temperature was 973 K, and heating rate was 5, 10 and 30 K/s. Three K-type thermocouples were located in the sample to measure intra-particle temperature history. The weight fraction history and intra-particle temperature profiles were measured at different runs. Tar was obtained at a cold trap. In calculation, a two-dimensional, unsteady state single particle model was developed and used to simulate the pyrolysis process. Wood cylinder was modeled as an isotropic porous solid. Solid mass conservation equations were solved by using first-order Euler Implicit Method. Gas phase mass conservation equations and energy conservation equation were discretised by finite volume method. In order to investigate the effect of intra-particle heat transfer, simulations were carried out, first, by considering temperature gradient and second, by assuming uniform temperature within the sample. When temperature gradient was considered, simulation results were in good agreement with experimental data. When uniform intra-particle temperature was used in the simulation, simulation results were quite different from experimental measurements, the degree of difference increasing with increase in heating rate. Both calculation and experiment showed tar yield decreased with increasing heating rate. This was because tar formation reaction and intra-particle tar decomposition reactions were enhanced by increase in heating rate but the latter was dominant. It was shown that intra-particle heat transfer and tar decomposition played an important role in pyrolysis characteristics of wood cylinder.

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Modelling and experimental studies on pyrolysis of biomass particles

Cited by 74 publications

References 25 publications

Multiscale molecular modeling can be an effective tool to aid the development of biomass conversion technology: A perspective

Multiscale molecular modeling can be an effective tool to aid the development of biomass conversion technology: A perspective

Numerical study of the conversion time of single pyrolyzing biomass particles at high heating conditions

Numerical and Experimental Investigation of Intra-Particle Heat Transfer and Tar Decomposition during Pyrolysis of Wood Biomass

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