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Influence of reaction atmosphere (H2O, N2, H2, CO2, CO) on fluidized-bed fast pyrolysis of biomass using detailed tar vapor chemistry in computational fluid dynamics

Influence of reaction atmosphere (H2O, N2, H2, CO2, CO) on fluidized-bed fast pyrolysis of biomass using detailed tar vapor chemistry in computational fluid dynamics
Influence of reaction atmosphere (H2O, N2, H2, CO2, CO) on fluidized-bed fast pyrolysis of biomass using detailed tar vapor chemistry in computational fluid dynamics

Secondary pyrolysis in fluidized bed fast pyrolysis of biomass is the focus of this work. A novel computational fluid dynamics (CFD) model coupled with a comprehensive chemistry scheme (134 species and 4169 reactions, in CHEMKIN format) has been developed to investigate this complex phenomenon. Previous results from a transient three-dimensional model of primary pyrolysis were used for the source terms of primary products in this model. A parametric study of reaction atmospheres (H2O, N2, H2, CO2, CO) has been performed. For the N2 and H2O atmosphere, results of the model compared favorably to experimentally obtained yields after the temperature was adjusted to a value higher than that used in experiments. One notable deviation versus experiments is pyrolytic water yield and yield of higher hydrocarbons. The model suggests a not overly strong impact of the reaction atmosphere. However, both chemical and physical effects were observed. Most notably, effects could be seen on the yield of various compounds, temperature profile throughout the reactor system, residence time, radical concentration, and turbulent intensity. At the investigated temperature (873 K), turbulent intensity appeared to have the strongest influence on liquid yield. With the aid of acceleration techniques, most importantly dimension reduction, chemistry agglomeration, and in-situ tabulation, a converged solution could be obtained within a reasonable time (∼30 h). As such, a new potentially useful method has been suggested for numerical analysis of fast pyrolysis.

0888-5885
8344-8355
Mellin, Pelle
dc4b2844-c3ea-4b0e-998d-52c42a84fa3f
Yu, Xi
7e4f553f-cc11-4c6e-ad6d-9fb5c3c07a60
Yang, Weihong
fddb2ee0-38a5-4570-99a0-5c1624752412
Blasiak, Wlodzimierz
9f0e69cd-ec53-4360-a1d4-04a82f3aa588
Mellin, Pelle
dc4b2844-c3ea-4b0e-998d-52c42a84fa3f
Yu, Xi
7e4f553f-cc11-4c6e-ad6d-9fb5c3c07a60
Yang, Weihong
fddb2ee0-38a5-4570-99a0-5c1624752412
Blasiak, Wlodzimierz
9f0e69cd-ec53-4360-a1d4-04a82f3aa588

Mellin, Pelle, Yu, Xi, Yang, Weihong and Blasiak, Wlodzimierz (2015) Influence of reaction atmosphere (H2O, N2, H2, CO2, CO) on fluidized-bed fast pyrolysis of biomass using detailed tar vapor chemistry in computational fluid dynamics. Industrial and Engineering Chemistry Research, 54 (33), 8344-8355. (doi:10.1021/acs.iecr.5b02164).

Record type: Article

Abstract

Secondary pyrolysis in fluidized bed fast pyrolysis of biomass is the focus of this work. A novel computational fluid dynamics (CFD) model coupled with a comprehensive chemistry scheme (134 species and 4169 reactions, in CHEMKIN format) has been developed to investigate this complex phenomenon. Previous results from a transient three-dimensional model of primary pyrolysis were used for the source terms of primary products in this model. A parametric study of reaction atmospheres (H2O, N2, H2, CO2, CO) has been performed. For the N2 and H2O atmosphere, results of the model compared favorably to experimentally obtained yields after the temperature was adjusted to a value higher than that used in experiments. One notable deviation versus experiments is pyrolytic water yield and yield of higher hydrocarbons. The model suggests a not overly strong impact of the reaction atmosphere. However, both chemical and physical effects were observed. Most notably, effects could be seen on the yield of various compounds, temperature profile throughout the reactor system, residence time, radical concentration, and turbulent intensity. At the investigated temperature (873 K), turbulent intensity appeared to have the strongest influence on liquid yield. With the aid of acceleration techniques, most importantly dimension reduction, chemistry agglomeration, and in-situ tabulation, a converged solution could be obtained within a reasonable time (∼30 h). As such, a new potentially useful method has been suggested for numerical analysis of fast pyrolysis.

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Published date: 26 August 2015

Identifiers

Local EPrints ID: 481490
URI: http://eprints.soton.ac.uk/id/eprint/481490
ISSN: 0888-5885
PURE UUID: 1d65d8c4-abb5-40ae-a905-24a4cedd9ac5

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Date deposited: 30 Aug 2023 16:34
Last modified: 06 Jun 2024 02:19

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Contributors

Author: Pelle Mellin
Author: Xi Yu ORCID iD
Author: Weihong Yang
Author: Wlodzimierz Blasiak

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