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

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Kramb, J., Konttinen, J., Gómez-Barea, A., Moilanen, A., & Umeki, K. (2014). Modeling biomass char gasification kinetics for improving prediction of carbon conversion in a fluidized bed gasifier. Fuel, 132(15 September), 107-115. https://doi.org/10.1016/j.fuel.2014.04.014
Published in
Fuel
Authors
Kramb, Jason |
Konttinen, Jukka |
Gómez-Barea, Alberto |
Moilanen, Antero |
Umeki, Kentaro
Date
2014
Discipline
KemiaChemistry
Copyright
Copyright © 2014 Elsevier B.V. except certain content provided by third parties. ScienceDirect® is a registered trademark of Elsevier B.V. This is a pre-print version of an article whose final and definitive form has been published by Elsevier B.V.

 
Gasification of biomass in a fluidized bed (FB) was modeled based on kinetic data obtained from previously conducted thermo- gravimetic 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 H 2 O / H 2 and CO 2 / 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. ...
Publisher
Elsevier Ltd
ISSN Search the Publication Forum
0016-2361
Keywords
kaasuuntuminen reaktiokinetiikka Reaction kinetics Modeling Fluidized bed biomassa (teollisuus) mallintaminen kaasutus

Original source
http://www.journals.elsevier.com/fuel/

DOI
https://doi.org/10.1016/j.fuel.2014.04.014
URI

http://urn.fi/URN:NBN:fi:jyu-201407312266

Publication in research information system

https://converis.jyu.fi/converis/portal/detail/Publication/23714114

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