Gas-flow distribution in bubbling fluidized beds: CFD-based analysis and impact of operating conditions.
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| Title: | Gas-flow distribution in bubbling fluidized beds: CFD-based analysis and impact of operating conditions. |
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| Authors: | Bakshi, A.1 abakshi@mit.edu, Altantzis, C.1,2, Glicksman, L.R.1, Ghoniem, A.F.1 |
| Source: | Powder Technology. Jul2017, Vol. 316, p500-511. 12p. |
| Subjects: | Gas flow, Bubble dynamics, Fluidization, Gas distribution, Regression analysis, Mathematical models |
| Abstract: | Gas-flow distribution plays a critical role in the performance of fluidized beds because it directly affects gas residence-time and solids mixing. However, measuring it accurately in the harsh conditions of larger reactors is not possible. Therefore, this study is focused on the development of a rigorous computational framework for quantifying gas-flow distribution during fluidization. To this end, fine-grid simulations are conducted for the bubbling fluidization of two distinct Geldart B particles - 1.15 mm LLDPE and 0.50 mm glass particles, at superficial gas velocities U/U mf = 2 and 3 in a 50 cm diameter bed. The two-fluid model (TFM) is employed to describe the solids motion efficiently and in-house developed tool MS3DATA (Multiphase-flow Statistics using 3D Detection and Tracking Algorithm) to compute detailed bubble statistics. The overall gas flow is divided into three phases: (a) dense flow in areas relatively rich is solids concentration (b) “visible” bubble flow associated with rising bubbles and (c) throughflow accounting for the gas flow which mostly bypasses through bubbles. It is found that conditions within the dense-phase depend largely on the particle properties while bubbling dynamics are significantly affected by superficial gas velocity. Calculations show that the throughflow increases in areas frequented by bubbles because the voidage distribution around bubbles increases the local dense-phase permeability. Throughflow may account for up to 40% of the overall gas flow, especially in the fluidization of large particles. This is not desirable because its residence-time is almost 2 × shorter (as compared to the dense flow) and contributes minimally to solids mixing. Finally, it is shown that in comparison to lab-scales, larger beds exhibit more homogeneous gas mixing. Insights from this study and the methodology developed will be useful in investigating gas flow distribution in complex fuel conversion systems. [ABSTRACT FROM AUTHOR] |
| Copyright of Powder Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 123339324 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Gas-flow distribution in bubbling fluidized beds: CFD-based analysis and impact of operating conditions. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bakshi%2C+A%2E%22">Bakshi, A.</searchLink><relatesTo>1</relatesTo><i> abakshi@mit.edu</i><br /><searchLink fieldCode="AR" term="%22Altantzis%2C+C%2E%22">Altantzis, C.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Glicksman%2C+L%2ER%2E%22">Glicksman, L.R.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ghoniem%2C+A%2EF%2E%22">Ghoniem, A.F.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Powder+Technology%22">Powder Technology</searchLink>. Jul2017, Vol. 316, p500-511. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Gas+flow%22">Gas flow</searchLink><br /><searchLink fieldCode="DE" term="%22Bubble+dynamics%22">Bubble dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Fluidization%22">Fluidization</searchLink><br /><searchLink fieldCode="DE" term="%22Gas+distribution%22">Gas distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Gas-flow distribution plays a critical role in the performance of fluidized beds because it directly affects gas residence-time and solids mixing. However, measuring it accurately in the harsh conditions of larger reactors is not possible. Therefore, this study is focused on the development of a rigorous computational framework for quantifying gas-flow distribution during fluidization. To this end, fine-grid simulations are conducted for the bubbling fluidization of two distinct Geldart B particles - 1.15 mm LLDPE and 0.50 mm glass particles, at superficial gas velocities U/U mf = 2 and 3 in a 50 cm diameter bed. The two-fluid model (TFM) is employed to describe the solids motion efficiently and in-house developed tool MS3DATA (Multiphase-flow Statistics using 3D Detection and Tracking Algorithm) to compute detailed bubble statistics. The overall gas flow is divided into three phases: (a) dense flow in areas relatively rich is solids concentration (b) “visible” bubble flow associated with rising bubbles and (c) throughflow accounting for the gas flow which mostly bypasses through bubbles. It is found that conditions within the dense-phase depend largely on the particle properties while bubbling dynamics are significantly affected by superficial gas velocity. Calculations show that the throughflow increases in areas frequented by bubbles because the voidage distribution around bubbles increases the local dense-phase permeability. Throughflow may account for up to 40% of the overall gas flow, especially in the fluidization of large particles. This is not desirable because its residence-time is almost 2 × shorter (as compared to the dense flow) and contributes minimally to solids mixing. Finally, it is shown that in comparison to lab-scales, larger beds exhibit more homogeneous gas mixing. Insights from this study and the methodology developed will be useful in investigating gas flow distribution in complex fuel conversion systems. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Powder Technology is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.powtec.2017.01.005 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 500 Subjects: – SubjectFull: Gas flow Type: general – SubjectFull: Bubble dynamics Type: general – SubjectFull: Fluidization Type: general – SubjectFull: Gas distribution Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Mathematical models Type: general Titles: – TitleFull: Gas-flow distribution in bubbling fluidized beds: CFD-based analysis and impact of operating conditions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bakshi, A. – PersonEntity: Name: NameFull: Altantzis, C. – PersonEntity: Name: NameFull: Glicksman, L.R. – PersonEntity: Name: NameFull: Ghoniem, A.F. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 00325910 Numbering: – Type: volume Value: 316 Titles: – TitleFull: Powder Technology Type: main |
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