Computational fluid dynamics modeling of biomass fast pyrolysis in a fluidized bed reactor, using a comprehensive chemistry scheme
• We have used an advanced kinetic model for pyrolysis coupled with CFD in 3D. • The yields are compared to experimental results and shows a not too far-off prediction. • The simulations are very time consuming but makes it possible to explore secondary reactions. • For example, a number of thermal...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mellin, Pelle [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Umfang: |
12 |
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| Übergeordnetes Werk: |
Enthalten in: Achieving highly tunable negative permittivity in titanium nitride/polyimide nanocomposites via controlled DC bias - Yang, Chaoqiang ELSEVIER, 2018, the science and technology of fuel and energy, New York, NY [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:117 ; year:2014 ; day:30 ; month:01 ; pages:704-715 ; extent:12 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.fuel.2013.09.009 |
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ELV018007082 |
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• We have used an advanced kinetic model for pyrolysis coupled with CFD in 3D. • The yields are compared to experimental results and shows a not too far-off prediction. • The simulations are very time consuming but makes it possible to explore secondary reactions. • For example, a number of thermal cracking reactions are applied to the tar components to see the effect. |
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• We have used an advanced kinetic model for pyrolysis coupled with CFD in 3D. • The yields are compared to experimental results and shows a not too far-off prediction. • The simulations are very time consuming but makes it possible to explore secondary reactions. • For example, a number of thermal cracking reactions are applied to the tar components to see the effect. |
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