A granular-biomass high temperature pyrolysis model based on the Darcy flow

Guan, Jian; Qi, Guoli; Dong, Peng

doi:10.1007/s11707-014-0371-9

Cited by 3 publications

(4 citation statements)

References 47 publications

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“…Current approaches for modelling pyrolysis processes focus strongly on computational fluid dynamic (CFD) [19][20][21] or single particle models [22,23], while others consider isolated biomass components (like e.g. lignin) [24] or determine only the lumped yields of the principal pyrolysis products (gas, char, oil) [25][26][27][28][29][30], while they do not model their detailed composition. Nevertheless, the latter is of high importance for system analysis, since emissions and other environmental impacts of the process are determined to a major share by the composition of the products i.e., their content of nitrogen, chlorine, sulphur etc.…”

Section: Introductionmentioning

confidence: 99%

A kinetic reaction model for biomass pyrolysis processes in Aspen Plus

et al. 2017

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This paper presents a novel kinetic reaction model for biomass pyrolysis processes. The model is based on the three main building blocks of lignocellulosic biomass, cellulose, hemicellulose and lignin and can be readily implemented in Aspen Plus and easily adapted to other process simulation software packages. It uses a set of 149 individual reactions that represent the volatilization, decomposition and recomposition processes of biomass pyrolysis. A linear regression algorithm accounts for the secondary pyrolysis reactions, thus allowing the calculation of slow and intermediate pyrolysis reactions. The bio-oil is modelled with a high level of detail, using up to 33 model compounds, which allows for a comprehensive estimation of the properties of the bio-oil and the prediction of further upgrading reactions. After showing good agreement with existing literature data, our own pyrolysis experiments are reported for validating the reaction model. A beech wood feedstock is subjected to pyrolysis under welldefined conditions at different temperatures and the product yields and compositions are determined. Reproducing the experimental pyrolysis runs with the simulation model, a high coincidence is found for the obtained fraction yields (bio-oil, char and gas), for the water content and for the elemental composition of the pyrolysis products. The kinetic reaction model is found to be suited for predicting pyrolysis yields and product composition for any lignocellulosic biomass feedstock under typical pyrolysis conditions without the need for experimental data.

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Section: Introductionmentioning

confidence: 99%

A kinetic reaction model for biomass pyrolysis processes in Aspen Plus

et al. 2017

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“…J. Guan et al conducted an experiment related to the pyrolysis of granular biomass. Their results showed that the larger the particle size, the slower the heat transmission into the particle core in a large endothermic pyrolysis reaction [11]. By contrast, the smaller the particle size, the faster the transmission of heat into the particle core.…”

Section: Effects Of Feedstock Particle Size and Reaction Zone Tempera...mentioning

confidence: 99%

“…J. Guan et al researched granular biomass, and their results showed that the particle size affects the pyrolysis duration: the smaller the particle size, the shorter the time required to burn the raw materials to the core, and vice versa [11]. The particle size influences the process of pyrolysis employed to produce liquid smoke [12].…”

Section: Introductionmentioning

confidence: 99%

“…Several researchers have sought to improve the existing condensation system used for pyrolysis to understand the characteristics of the bio-oil produced in the process. Several other researchers have studied the geometry of biomass at various process stages, starting from before pyrolysis until the end of pyrolysis [11]. However, the influence of the heat pipe fin condensers on the liquid yield of pyrolysis has not been studied thus far.…”

Section: Introductionmentioning

confidence: 99%

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Influence of Feedstock Particle Size from Merbau Wood (Intsia bijuga) on Bio-Oil Production Using a Heat Pipe Fin L-Shaped Condenser in a Pyrolysis Process

Abdullah¹,

Tila²,

Hakim³

et al. 2020

EngJ

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Bio-oil (liquid smoke) can be produced by condensing pyrolysis vapor. As a raw material, the sawdust from Merbau wood (Intsia bijuga) is heated to generate vapor. These vapors are then condensed in a liquid collecting system (LCS). The particle size of the sawdust influences the heating rate and eventually affects bio-oil production. To increase the yield of bio-oil while decreasing the power consumption of the process, the LCS design must be improved. In the present study, the authors aim to understand the relationship between the particle size and the liquid smoke yield using an LCS equipped with L-shaped heat pipe fin condensers. To this end, we experimentally investigated the influence of the particle size (2 mm, 0.707 mm, and 0.595 mm) of the raw material on the liquid smoke yield of an LCS in a pyrolysis process. The results show that increasing the feedstock particle size of Merbau wood sawdust increases the yield of liquid smoke. With a particle size of 2 mm, we achieved a 6% higher yield of liquid smoke than that with a particle size of 0.595 mm. In addition, the installation of the L-shaped heat pipe fin condensers improved the LCS performance.

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Numerical simulation on biomass-pyrolysis and thermal cracking of condensable volatile component

Wang

Zhang

et al. 2020

International Journal of Hydrogen Energy

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A granular-biomass high temperature pyrolysis model based on the Darcy flow

Cited by 3 publications

References 47 publications

A kinetic reaction model for biomass pyrolysis processes in Aspen Plus

A kinetic reaction model for biomass pyrolysis processes in Aspen Plus

Influence of Feedstock Particle Size from Merbau Wood (Intsia bijuga) on Bio-Oil Production Using a Heat Pipe Fin L-Shaped Condenser in a Pyrolysis Process

Numerical simulation on biomass-pyrolysis and thermal cracking of condensable volatile component

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