Thermodynamic equilibrium prediction of bed agglomeration tendency in dual fluidized-bed gasification of forest residues

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Moradian, Farzad,1981-Högskolan i Borås,Akademin för textil, teknik och ekonomi,Combustion and thermal processes,University of Borås (författare)

Thermodynamic equilibrium prediction of bed agglomeration tendency in dual fluidized-bed gasification of forest residues

Artikel/kapitelEngelska2016

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Elsevier BV,2016
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LIBRIS-ID:oai:DiVA.org:ri-27578
https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-27578URI
https://doi.org/10.1016/j.fuproc.2016.08.014DOI
https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-127580URI
https://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-10727URI
https://research.chalmers.se/publication/245256URI

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Språk:engelska
Sammanfattning på:engelska

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Dual fluidized-bed (DFB) gasification is one of the recently developed technologies for production of heat, power, transportation fuels and synthetic chemicals through steam gasification of biomass. Bed agglomeration is a serious ash-related problem that should be taken into account when biomass-based fuels are selected for fluidized-bed gasification and combustion. This study developed a thermodynamic equilibrium model to assess the risk of bed agglomeration in gasification and combustion reactors of a DFB gasifier using biomass (forest residues) as feedstock. The modelling approach combined thermodynamic equilibrium calculations with chemical fractionation technique to predict the composition and melting behaviour of the fuel-derived ash as well as bed particles coating layer in the gasification and combustion reactors. FactSage was employed for the thermodynamic equilibrium calculations. The modelling results were then compared with experimental data obtained from a full-scale DFB gasifier to estimate the reliability and validity of the predictive model. In general, a good agreement was found between the modelling results and experimental observations. For the forest residues as feedstock and olivine as bed material, the modelling results indicate a low risk of bed agglomeration in the DFB gasifier, as long as the dominant temperature in the combustion zone is below 1020 °C. In contrast, quartz as bed material in the DFB gasifier was shown to significantly increase the risk of bed agglomeration through coating-induced agglomeration mechanism.

Ämnesord och genrebeteckningar

TEKNIK OCH TEKNOLOGIER Industriell bioteknik Bioenergi hsv//swe
ENGINEERING AND TECHNOLOGY Industrial Biotechnology Bioenergy hsv//eng
TEKNIK OCH TEKNOLOGIER Kemiteknik Kemiska processer hsv//swe
ENGINEERING AND TECHNOLOGY Chemical Engineering Chemical Process Engineering hsv//eng
TEKNIK OCH TEKNOLOGIER Maskinteknik Energiteknik hsv//swe
ENGINEERING AND TECHNOLOGY Mechanical Engineering Energy Engineering hsv//eng
Bed agglomeration
Biomass
Chemical fractionation
Dual fluidized-bed
Thermodynamic equilibrium modelling
Agglomeration
Coatings
Combustion
Feedstocks
Fluidized beds
Forestry
Fuels
Gasification
Risk assessment
Silicate minerals
Synthetic fuels
Thermodynamics
Dual fluidized bed gasification
Dual fluidized beds
Fluidized bed gasification
Thermodynamic equilibria
Thermodynamic equilibrium calculation
Thermodynamic equilibrium model
Fluidized bed combustion

Biuppslag (personer, institutioner, konferenser, titlar ...)

Tchoffor Atongka, Placid,1981RISE,SP – Sveriges Tekniska Forskningsinstitut,Chalmers University of Technology, Sweden,SP Technical Research Institute of Sweden,Chalmers tekniska högskola(Swepub:cth)tchoffor (författare)
Davidsson, Kent O.SP Sveriges Tekniska Forskningsinstitut AB,RISE,SP – Sveriges Tekniska Forskningsinstitut,SP Technical Research Institute of Sweden (författare)
Pettersson, AnitaHögskolan i Borås,Akademin för textil, teknik och ekonomi,Combustion and thermal processes,University of Borås(Swepub:hb)APE (författare)
Backman, RainerUmeå universitet,Institutionen för tillämpad fysik och elektronik,Umeå University, Sweden(Swepub:umu)raba0001 (författare)
Högskolan i BoråsAkademin för textil, teknik och ekonomi (creator_code:org_t)

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Ingår i:Fuel processing technology: Elsevier BV154, s. 82-900378-38201873-7188

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