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

Author

Listed:
  • Rajan Jaiswal

    (Department 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, Norway)

  • Britt. M. E. Moldestad

    (Department 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, Norway)

  • Marianne S. Eikeland

    (Department 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, Norway)

  • Henrik K. Nielsen

    (Department of engineering sciences, Faculty of engineering and science, University of Agder, Jon Lilletuns vei 9, 4879 Grimstad, Norway)

  • Rajan Kumar Thapa

    (Department 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, Norway)

Abstract

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 4.2 U m f 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 2.5 U m f 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.

Suggested Citation

  • Rajan Jaiswal & Britt. M. E. Moldestad & Marianne S. Eikeland & Henrik K. Nielsen & Rajan Kumar Thapa, 2022. "Image Processing and Measurement of the Bubble Properties in a Bubbling Fluidized Bed Reactor," Energies, MDPI, vol. 15(21), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:21:p:7828-:d:950240
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    References listed on IDEAS

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    1. Kraft, Stephan & Kirnbauer, Friedrich & Hofbauer, Hermann, 2017. "CPFD simulations of an industrial-sized dual fluidized bed steam gasification system of biomass with 8MW fuel input," Applied Energy, Elsevier, vol. 190(C), pages 408-420.
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