Modeling biomass char gasification kinetics for improving prediction of carbon conversion in a fluidized bed gasifier

Jason Kramb (Corresponding Author), Jukka Konttinen, Alberto Gómez-Barea, Antero Moilanen, Kentaro Umeki

Research output: Contribution to journalArticleScientificpeer-review

30 Citations (Scopus)

Abstract

Gasification of biomass in a fluidized bed (FB) was modeled based on kinetic data obtained from previously conducted thermogravimetric analysis. The thermogravimetric analysis experiments were designed to closely resemble conditions in a real FB gasifier by using high sample heating rates, in situ devolatilization and gas atmospheres of H2O/H2 and CO2/CO mixtures. Several char kinetic models were evaluated based on their ability to predict char conversion based on the thermogravimetric data. A modified version of the random pore model was shown to provide good fitting of the char reactivity and suitability for use in a reactor model. An updated FB reactor model which incorporates the newly developed char kinetic expression and a submodel for the estimation of char residence time is presented and results from simulations were compared against pilot scale gasification data of pine sawdust. The reactor model showed good ability for predicting char conversion and product gas composition.
Original languageEnglish
Pages (from-to)107-115
JournalFuel
Volume132
DOIs
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed

Fingerprint

Gasification
Fluidized beds
Biomass
Carbon
Kinetics
Thermogravimetric analysis
Gases
Sawdust
Carbon Monoxide
Heating rate
Chemical analysis
Experiments

Keywords

  • Biomass
  • gasification
  • reaction kinetics
  • modeling
  • fluidized be

Cite this

Kramb, Jason ; Konttinen, Jukka ; Gómez-Barea, Alberto ; Moilanen, Antero ; Umeki, Kentaro. / Modeling biomass char gasification kinetics for improving prediction of carbon conversion in a fluidized bed gasifier. In: Fuel. 2014 ; Vol. 132. pp. 107-115.
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abstract = "Gasification of biomass in a fluidized bed (FB) was modeled based on kinetic data obtained from previously conducted thermogravimetric analysis. The thermogravimetric analysis experiments were designed to closely resemble conditions in a real FB gasifier by using high sample heating rates, in situ devolatilization and gas atmospheres of H2O/H2 and CO2/CO mixtures. Several char kinetic models were evaluated based on their ability to predict char conversion based on the thermogravimetric data. A modified version of the random pore model was shown to provide good fitting of the char reactivity and suitability for use in a reactor model. An updated FB reactor model which incorporates the newly developed char kinetic expression and a submodel for the estimation of char residence time is presented and results from simulations were compared against pilot scale gasification data of pine sawdust. The reactor model showed good ability for predicting char conversion and product gas composition.",
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Modeling biomass char gasification kinetics for improving prediction of carbon conversion in a fluidized bed gasifier. / Kramb, Jason (Corresponding Author); Konttinen, Jukka; Gómez-Barea, Alberto; Moilanen, Antero; Umeki, Kentaro.

In: Fuel, Vol. 132, 2014, p. 107-115.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Modeling biomass char gasification kinetics for improving prediction of carbon conversion in a fluidized bed gasifier

AU - Kramb, Jason

AU - Konttinen, Jukka

AU - Gómez-Barea, Alberto

AU - Moilanen, Antero

AU - Umeki, Kentaro

PY - 2014

Y1 - 2014

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AB - Gasification of biomass in a fluidized bed (FB) was modeled based on kinetic data obtained from previously conducted thermogravimetric analysis. The thermogravimetric analysis experiments were designed to closely resemble conditions in a real FB gasifier by using high sample heating rates, in situ devolatilization and gas atmospheres of H2O/H2 and CO2/CO mixtures. Several char kinetic models were evaluated based on their ability to predict char conversion based on the thermogravimetric data. A modified version of the random pore model was shown to provide good fitting of the char reactivity and suitability for use in a reactor model. An updated FB reactor model which incorporates the newly developed char kinetic expression and a submodel for the estimation of char residence time is presented and results from simulations were compared against pilot scale gasification data of pine sawdust. The reactor model showed good ability for predicting char conversion and product gas composition.

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KW - reaction kinetics

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