Application of CFD to model fast pyrolysis of biomass

K. Papadikis; S. Gu; Anthony V. Bridgwater; H. Gerhauser

doi:10.1016/j.fuproc.2009.01.010

Application of CFD to model fast pyrolysis of biomass

K. Papadikis, S. Gu, Anthony V. Bridgwater, H. Gerhauser

Research output: Contribution to journal › Article › peer-review

Abstract

The article deals with the CFD modelling of fast pyrolysis of biomass in an Entrained Flow Reactor (EFR). The Lagrangian approach is adopted for the particle tracking, while the flow of the inert gas is treated with the standard Eulerian method for gases. The model includes the thermal degradation of biomass to char with simultaneous evolution of gases and tars from a discrete biomass particle. The chemical reactions are represented using a two-stage, semi-global model. The radial distribution of the pyrolysis products is predicted as well as their effect on the particle properties. The convective heat transfer to the surface of the particle is computed using the Ranz-Marshall correlation.

Original language	English
Pages (from-to)	504-512
Number of pages	9
Journal	Fuel Processing Technology
Volume	90
Issue number	4
DOIs	https://doi.org/10.1016/j.fuproc.2009.01.010
Publication status	Published - Apr 2009

Keywords

CFD
fast pyrolysis
biomass
particle modeling
bioenergy
chemical engineering

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10.1016/j.fuproc.2009.01.010

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title = "Application of CFD to model fast pyrolysis of biomass",

abstract = "The article deals with the CFD modelling of fast pyrolysis of biomass in an Entrained Flow Reactor (EFR). The Lagrangian approach is adopted for the particle tracking, while the flow of the inert gas is treated with the standard Eulerian method for gases. The model includes the thermal degradation of biomass to char with simultaneous evolution of gases and tars from a discrete biomass particle. The chemical reactions are represented using a two-stage, semi-global model. The radial distribution of the pyrolysis products is predicted as well as their effect on the particle properties. The convective heat transfer to the surface of the particle is computed using the Ranz-Marshall correlation.",

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author = "K. Papadikis and S. Gu and Bridgwater, {Anthony V.} and H. Gerhauser",

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AU - Papadikis, K.

AU - Gu, S.

AU - Bridgwater, Anthony V.

AU - Gerhauser, H.

PY - 2009/4

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N2 - The article deals with the CFD modelling of fast pyrolysis of biomass in an Entrained Flow Reactor (EFR). The Lagrangian approach is adopted for the particle tracking, while the flow of the inert gas is treated with the standard Eulerian method for gases. The model includes the thermal degradation of biomass to char with simultaneous evolution of gases and tars from a discrete biomass particle. The chemical reactions are represented using a two-stage, semi-global model. The radial distribution of the pyrolysis products is predicted as well as their effect on the particle properties. The convective heat transfer to the surface of the particle is computed using the Ranz-Marshall correlation.

AB - The article deals with the CFD modelling of fast pyrolysis of biomass in an Entrained Flow Reactor (EFR). The Lagrangian approach is adopted for the particle tracking, while the flow of the inert gas is treated with the standard Eulerian method for gases. The model includes the thermal degradation of biomass to char with simultaneous evolution of gases and tars from a discrete biomass particle. The chemical reactions are represented using a two-stage, semi-global model. The radial distribution of the pyrolysis products is predicted as well as their effect on the particle properties. The convective heat transfer to the surface of the particle is computed using the Ranz-Marshall correlation.

KW - CFD

KW - fast pyrolysis

KW - biomass

KW - particle modeling

KW - bioenergy

KW - chemical engineering

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DO - 10.1016/j.fuproc.2009.01.010

M3 - Article

SN - 0378-3820

VL - 90

SP - 504

EP - 512

JO - Fuel Processing Technology

JF - Fuel Processing Technology

IS - 4

ER -

Application of CFD to model fast pyrolysis of biomass

Abstract

Keywords

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