Experimental validation and CFD modeling study of biomass fast pyrolysis in fluidized-bed reactors

Xue, Qingguo; Dalluge, Dustin L.; Heindel, Theodore J.; Fox, Rodney O.; Brown, Robert C.

doi:10.1016/j.fuel.2012.02.065

Cited by 144 publications

(146 citation statements)

References 56 publications

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“…[10]) (iii) multicomponent reactions model (e.g. [20,23,26]). The first option is the simplest and assumes that the biomass is thermally degraded to a final product of char, condensable vapour (bio-oil) and a permanent gas (NCG) and this can be represented by a single first order reaction and one global rate constant.…”

Section: 32devolatilizationmentioning

confidence: 99%

“…The details at the single particle level were revealed by tracing a single cellulosic particle in the fluidized bed. Xue et al [18,20,21] developed an Eulerian-Eulerian CFD model with multi-component, multi-stages kinetics model to simulate biomass fast pyrolysis in a lab-scale fluidized bed. The study proposed various model improvements by taking into account detailed pyrolysis kinetics with a multi-component, particle density variation, and particle size distribution.…”

Section: Introductionmentioning

confidence: 99%

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A CFD study of biomass pyrolysis in a downer reactor equipped with a novel gas–solid separator-II thermochemical performance and products

Hassan

Ocone

et al. 2015

Fuel Processing Technology

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Highlight A CFD model is used to simulate biomass fast pyrolysis in a downer reactor. An Eulerian-Eulerian approach with a single global pyrolysis reaction is used. A novel gas-solid separator was used to control the gas residence time. Predicted pyrolysis yield is in good agreement with reported literature data. AbstractA Eulerian-Eulerian CFD model was used to investigate the fast pyrolysis of biomass in a downer reactor equipped with a novel gas-solid separation mechanism. The highly endothermic pyrolysis reaction was assumed to be entirely driven by an inert solid heat carrier (sand). A one-step global pyrolysis reaction, along with the equations describing the biomass drying and heat transfer, was implemented in the hydrodynamic model presented in part I of this study (Fuel Processing Technology, V126,(366)(367)(368)(369)(370)(371)(372)(373)(374)(375)(376)(377)(378)(379)(380)(381)(382). The predictions of the gas-solid separation efficiency, temperature distribution, residence time and the pyrolysis product yield are presented and discussed. For the operating conditions considered, the devolatilisation efficiency was found to be above 60% and the yield composition in mass fraction was 56.85% bio-oil, 37.87% bio-char and 5.28% non-condensable gas (NCG). This has been found to agree reasonably well with recent relevant published experimental data. The novel gas-solid separation mechanism allowed achieving greater than 99.9% separation efficiency and < 2 s pyrolysis gas residence time. The model has been found to be robust and fast in terms of computational time, thus has the great potential to aid in future design and optimisation of the biomass fast pyrolysis process.

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Section: 32devolatilizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A CFD study of biomass pyrolysis in a downer reactor equipped with a novel gas–solid separator-II thermochemical performance and products

Hassan

Ocone

et al. 2015

Fuel Processing Technology

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“…This provides an outline of 637 the effects of shrinkage patterns on particle residence times. 638 with similar geometry, feedstock composition (cellulose: 32-52%; hemicellulose: 23-33%; lignin: 13-643 27%) and operating conditions to those used in this work [22,71]. The simulation results for the 644 different particle shrinkage patterns and experimental results are compared in Table 10.…”

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confidence: 99%

CFD modelling of particle shrinkage in a fluidized bed for biomass fast pyrolysis with quadrature method of moment

Liu

Papadikis

et al. 2017

Fuel Processing Technology

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Abstract:9 An Eulerian-Eulerian multi-phase CFD model was set up to simulate a lab-scale fluidized bed reactor 10 for the fast pyrolysis of biomass. Biomass particles and the bed material (sand) were considered to be 11 particulate phases and modelled using the kinetic theory of granular flow. A global, multi-stage 12 chemical kinetic mechanism was integrated into the main framework of the CFD model and employed 13 to account for the process of biomass devolatilization. A 3-parameter shrinkage model was used to 14 describe the variation in particle size due to biomass decomposition. This particle shrinkage model 15 was then used in combination with a quadrature method of moment (QMOM) to solve the particle 16 population balance equation (PBE). The evolution of biomass particle size in the fluidized bed was 17 obtained for several different patterns of particle shrinkage, which were represented by different 18 values of shrinkage factors. In addition, pore formation inside the biomass particle was simulated for 19 these shrinkage patterns, and thus, the density variation of biomass particles is taken into account. 20

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“…For example, Xue et 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 al. 22 developed a Eulerian-Eulerian model for fast pyrolysis of biomass in a fluidized bed reactor using a multi kinetics model for the biomass reactions. The model was described to capture well the trend of biomass decomposition and predicted maximum bio-oil production at about 500°C, which is in good agreement with experimental results.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Performance Analysis of Biomass Fast Pyrolysis in a Solar-Thermal Reactor

Bashir

Hassan

et al. 2017

ACS Sustainable Chem. Eng.

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Solar-thermal conversion of biomass through pyrolysis process is an alternative option to store energy in the form of liquid fuel, gas and bio-char. Fast pyrolysis is a highly endothermic process and essentially requires high heating rate and temperature >400 °C . This study presents a theoretical study on biomass fast pyrolysis in a solar-thermal reactor heated by a parabolic trough concentrator. The reactor is part of a novel closed loop pyrolysis-gasification process.A Eulerian-Eulerian flow model, with constitutive closure equation derived from the kinetic theory of granular flow and incorporating heat transfer, drying and pyrolysis reaction equations, was solved using ANSYS Fluent computational fluid dynamics (CFD) software.The highly endothermic pyrolysis was assumed to be satisfied by a constant solar heat flux concentrated on the reactor external wall. At the operating conditions considered, the reactor overall energy efficiency was found equal to 67.8% with the product consisting of 51.5% biooil, 43.7% char and 4.8% non-condensable gases. Performance analysis is presented to show the competitiveness of the proposed reactor in terms of thermal conversion efficiency and environmental impact. It is hoped that this study will contribute to the global effort on securing diverse and sustainable energy generation technologies.

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Experimental validation and CFD modeling study of biomass fast pyrolysis in fluidized-bed reactors

Cited by 144 publications

References 56 publications

A CFD study of biomass pyrolysis in a downer reactor equipped with a novel gas–solid separator-II thermochemical performance and products

A CFD study of biomass pyrolysis in a downer reactor equipped with a novel gas–solid separator-II thermochemical performance and products

CFD modelling of particle shrinkage in a fluidized bed for biomass fast pyrolysis with quadrature method of moment

Modeling and Performance Analysis of Biomass Fast Pyrolysis in a Solar-Thermal Reactor

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