Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor

The efficiency of a fluidized bed reactor depends on the bed fluid dynamic behavior, which is significantly influenced by the bubble properties. This work investigates the bubble properties of a bubbling fluidized bed reactor using computational particle fluid dynamic (CPFD) simulations and electric...

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Main Authors: Rajan Jaiswal, Britt. M. E. Moldestad, Marianne S. Eikeland, Henrik K. Nielsen, Rajan Kumar Thapa
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/15/21/7828
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author Rajan Jaiswal
Britt. M. E. Moldestad
Marianne S. Eikeland
Henrik K. Nielsen
Rajan Kumar Thapa
author_facet Rajan Jaiswal
Britt. M. E. Moldestad
Marianne S. Eikeland
Henrik K. Nielsen
Rajan Kumar Thapa
author_sort Rajan Jaiswal
collection DOAJ
description The efficiency of a fluidized bed reactor depends on the bed fluid dynamic behavior, which is significantly influenced by the bubble properties. This work investigates the bubble properties of a bubbling fluidized bed reactor using computational particle fluid dynamic (CPFD) simulations and electrical capacitance tomography (ECT) measurements. The two-dimensional images (along the reactor horizontal and vertical planes) of the fluidized bed are obtained from the CPFD simulations at different operating conditions. The CPFD model was developed in a commercial CPFD software Barracuda Virtual Reactor 20.0.1. The bubble behavior and bed fluidization behavior are characterized form the bubble properties: average bubble diameter, bubble rise velocity, and bubble frequency. The bubble properties were determined by processing the extracted images with script developed in MATLAB. The CPFD simulation results are compared with experimental data (obtained from the ECT sensors) and correlations in the literature. The results from the CPFD model and experimental measurement depicted that the average bubble diameter increased with an increase in superficial gas velocities up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>4.2</mn><mo> </mo><msub><mi>U</mi><mrow><mi>m</mi><mi>f</mi></mrow></msub></mrow></semantics></math></inline-formula> and decreased with a further increase in gas velocities due to the onset of large bubbles (potential slugging regime). The bubble rise velocity increased as it moved from the lower region to the bed surface. The Fourier transform of the transient solid volume fraction illustrated that multiple bubbles pass the plane with varying amplitude and frequency in the range of 1–6 Hz. Further, the bubble frequency increased with an increase in superficial gas velocity up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2.5</mn><msub><mi>U</mi><mrow><mi>m</mi><mi>f</mi></mrow></msub></mrow></semantics></math></inline-formula> and decreased with a further increase in gas velocity. The CPFD model and method employed in this work can be useful for studying the influence of bubble properties on conversion efficiency of a gasification reactor operating at high temperatures.
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spelling doaj.art-23a0f881e5c34bf08df7e13efc0cad792023-11-24T04:27:17ZengMDPI AGEnergies1996-10732022-10-011521782810.3390/en15217828Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed ReactorRajan Jaiswal0Britt. M. E. Moldestad1Marianne S. Eikeland2Henrik K. Nielsen3Rajan Kumar Thapa4Department of Process, Energy and Environmental Technology, Faculty of Technology, Natural Sciences and Maritime Sciences, Campus Porsgrunn, University of South-Eastern Norway, Kjølnes 56, 3918 Porsgrunn, NorwayDepartment of Process, Energy and Environmental Technology, Faculty of Technology, Natural Sciences and Maritime Sciences, Campus Porsgrunn, University of South-Eastern Norway, Kjølnes 56, 3918 Porsgrunn, NorwayDepartment of Process, Energy and Environmental Technology, Faculty of Technology, Natural Sciences and Maritime Sciences, Campus Porsgrunn, University of South-Eastern Norway, Kjølnes 56, 3918 Porsgrunn, NorwayDepartment of engineering sciences, Faculty of engineering and science, University of Agder, Jon Lilletuns vei 9, 4879 Grimstad, NorwayDepartment of Process, Energy and Environmental Technology, Faculty of Technology, Natural Sciences and Maritime Sciences, Campus Porsgrunn, University of South-Eastern Norway, Kjølnes 56, 3918 Porsgrunn, NorwayThe efficiency of a fluidized bed reactor depends on the bed fluid dynamic behavior, which is significantly influenced by the bubble properties. This work investigates the bubble properties of a bubbling fluidized bed reactor using computational particle fluid dynamic (CPFD) simulations and electrical capacitance tomography (ECT) measurements. The two-dimensional images (along the reactor horizontal and vertical planes) of the fluidized bed are obtained from the CPFD simulations at different operating conditions. The CPFD model was developed in a commercial CPFD software Barracuda Virtual Reactor 20.0.1. The bubble behavior and bed fluidization behavior are characterized form the bubble properties: average bubble diameter, bubble rise velocity, and bubble frequency. The bubble properties were determined by processing the extracted images with script developed in MATLAB. The CPFD simulation results are compared with experimental data (obtained from the ECT sensors) and correlations in the literature. The results from the CPFD model and experimental measurement depicted that the average bubble diameter increased with an increase in superficial gas velocities up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>4.2</mn><mo> </mo><msub><mi>U</mi><mrow><mi>m</mi><mi>f</mi></mrow></msub></mrow></semantics></math></inline-formula> and decreased with a further increase in gas velocities due to the onset of large bubbles (potential slugging regime). The bubble rise velocity increased as it moved from the lower region to the bed surface. The Fourier transform of the transient solid volume fraction illustrated that multiple bubbles pass the plane with varying amplitude and frequency in the range of 1–6 Hz. Further, the bubble frequency increased with an increase in superficial gas velocity up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2.5</mn><msub><mi>U</mi><mrow><mi>m</mi><mi>f</mi></mrow></msub></mrow></semantics></math></inline-formula> and decreased with a further increase in gas velocity. The CPFD model and method employed in this work can be useful for studying the influence of bubble properties on conversion efficiency of a gasification reactor operating at high temperatures.https://www.mdpi.com/1996-1073/15/21/7828fluidized bedbubble diameterbubble rise velocitybubble frequencycomputational particle fluid dynamicimage processing
spellingShingle Rajan Jaiswal
Britt. M. E. Moldestad
Marianne S. Eikeland
Henrik K. Nielsen
Rajan Kumar Thapa
Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor
Energies
fluidized bed
bubble diameter
bubble rise velocity
bubble frequency
computational particle fluid dynamic
image processing
title Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor
title_full Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor
title_fullStr Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor
title_full_unstemmed Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor
title_short Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor
title_sort image processing and measurement of the bubble properties in a bubbling fluidized bed reactor
topic fluidized bed
bubble diameter
bubble rise velocity
bubble frequency
computational particle fluid dynamic
image processing
url https://www.mdpi.com/1996-1073/15/21/7828
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