A reactor-scale CFD model of soot formation during high-temperature pyrolysis and gasification of biomass

•Reactor-scale soot modeling for biomass high-temperature gasification is established.•Simplified tar model is developed for cellulose, hemicellulose and lignin, respectively.•The difference of soot yield from the basic biomass components is well captured.•Tar reforming plays an important role in co...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Fuel (Guildford) Ročník 303; s. 121240
Hlavní autoři: Chen, Tao, Li, Tian, Sjöblom, Jonas, Ström, Henrik
Médium: Journal Article
Jazyk:angličtina
Vydáno: Kidlington Elsevier Ltd 01.11.2021
Elsevier BV
Témata:
Air pollution
Air temperature
Algorithms
Biomass
Biomass gasification
Cellulose
Computational fluid dynamics
Computational fluid dynamics modeling
Computer applications
Contamination
current
Dust
Eulerian-Lagrangian
Fluid dynamics
Gasification
Hemicellulose
High temperature
High-temperature gasification
High-temperature pyrolysis
Hydrodynamics
Lignin
Mass transfer
Mathematical models
Multiphase flow
Operating temperature
Optimization
Pyrolysis
Pyrolysis and gasification
Reactors
Soot
Soot formation
Soot formations
Soot generations
Tar
Tube furnaces
Two-equation model
Biomass gasification
Soot formation
Eulerian-Lagrangian
Two-equation model
ISSN:0016-2361, 1873-7153, 1873-7153
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:•Reactor-scale soot modeling for biomass high-temperature gasification is established.•Simplified tar model is developed for cellulose, hemicellulose and lignin, respectively.•The difference of soot yield from the basic biomass components is well captured.•Tar reforming plays an important role in controlling soot generation during steam gasification.•The impact of surface growth through HACA mechanism on soot yield is relatively small. Soot generation is an important problem in high-temperature biomass gasification, which results in both air pollution and the contamination of gasification equipment. Due to the complex nature of biomass materials and the soot formation process, it is still a challenge to fully understand and describe the mechanisms of tar evolution and soot generation at the reactor scale. This knowledge gap thus motivates the development of a comprehensive computational fluid dynamics (CFD) soot formation algorithm for biomass gasification, where the soot precursor is modeled using a component-based pyrolysis framework to distinguish cellulose, hemicellulose and lignin. The model is first validated with pyrolysis experiments from different research groups, after which the soot generation during biomass steam gasification in a drop-tube furnace is studied under different operating temperatures (900–1200 °C) and steam/biomass ratios. Compared with the predictions based on a detailed tar conversion model, the current algorithm captures the soot generation more reasonably although a simplified tar model is used. Besides, the influence of biomass lignin content and the impact of tar and soot consumptions on the soot yield is quantitatively studied. Moreover, the impact of surface growth on soot formation is also discussed. The current work demonstrates the feasibility of the coupled multiphase flow algorithm in the prediction of soot formation during biomass gasification with strong heat/mass transfer effects. In conclusion, the model is thus a useful tool for the analysis and optimization of industrial-scaled biomass gasification.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0016-2361
1873-7153
1873-7153
DOI:10.1016/j.fuel.2021.121240