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A reactor-scale CFD model of soot formation during high-temperature pyrolysis and gasification of biomass
Chalmers University of Technology, Sweden.
RISE Research Institutes of Sweden, Safety and Transport, Fire Technology. NTNU Norwegian University of Science and Technology, Norway.ORCID iD: 0000-0002-4248-8396
Chalmers University of Technology, Sweden.
Chalmers University of Technology, Sweden; NTNU Norwegian University of Science and Technology, Norway.
2021 (English)In: Fuel, ISSN 0016-2361, E-ISSN 1873-7153, Vol. 303, article id 121240Article in journal (Refereed) Published
Abstract [en]

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. © 2021 The Author(s)

Place, publisher, year, edition, pages
Elsevier Ltd , 2021. Vol. 303, article id 121240
Keywords [en]
Biomass gasification, Eulerian-Lagrangian, Soot formation, Two-equation model, Cellulose, Computational fluid dynamics, Dust, Gasification, Lignin, Pyrolysis, Soot, Tar, 'current, Computational fluid dynamics modeling, High-temperature gasification, High-temperature pyrolysis, Pyrolysis and gasification, Soot formations, Soot generations, Biomass
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:ri:diva-54696DOI: 10.1016/j.fuel.2021.121240Scopus ID: 2-s2.0-85108093911OAI: oai:DiVA.org:ri-54696DiVA, id: diva2:1575649
Note

 Funding details: 267916; Funding details: P34721-3; Funding details: Svenska Forskningsrådet Formas, 2017-00677; Funding details: Vetenskapsrådet, VR, 2018-05973; Funding details: Energimyndigheten, 46439-1; Funding details: Norges Forskningsråd; Funding text 1: This work is financially supported by the Swedish Energy Agency (No. 46439-1), the Swedish Research Council Formas (No. Dnr 2017-00677), the Research Council of Norway (GASPRO, No. 267916), the Swedish Centre for Biomass Gasification (SFC, No. P34721-3) and the Centre for Combustion Science and Technology (CECOST). The computations were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) partially funded by the Swedish Research Council through grant agreement no. 2018-05973.

Available from: 2021-06-30 Created: 2021-06-30 Last updated: 2023-06-08Bibliographically approved

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