Determination of Gas Void Fraction in a Bubble Column Reactor Using Fiber-Optic Distributed Acoustic Sensing

The broad application field of bubble column reactors (BCRs) is contrasted by complex inherent dynamics, which gives rise to the need for intelligent monitoring systems. The latest advances in fiber-optic sensor technology represent a promising approach to enable detailed insights into large-scale geometries. In this work, we report on the use of a novel method to nonintrusively determine the gas void fraction in BCRs using distributed acoustic sensing (DAS). This study provides a holistic concept demonstration, covering the physical background, instrumentation, data processing, and testing. The optical fiber used was wound helically around the reactor, allowing the propagation of acoustic emissions to be detected and the speed of sound to be determined. The technology is based on a passive approach and uses the natural sound emissions of the gas bubbles sparged into the vessel. Within the framework of this article, first tests were carried out on a laboratory-scale 2-m-high water–air reactor. The application demonstrates encouraging outcomes compared to a reference method based on height expansion. An examination of gas void fractions up to 4% reveals that the DAS measurement underestimates the void fraction by an absolute maximum of 0.62% using a cross-correlation algorithm. The presented conceptual study highlights the significant potential of DAS as a nonintrusive sensing technique for BCRs.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3597002
Citations
1
Primary Topic
Fluid Dynamics and Mixing
Type
article
Field-Weighted Citation Impact
0.67
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article

Determination of Gas Void Fraction in a Bubble Column Reactor Using Fiber-Optic Distributed Acoustic Sensing

Mark W. Hlawitschka, Marco J. da Silva, Guilherme Heim Weber, Cícero Martelli et al.
1 citations
IEEE Transactions on Instrumentation and Measurement
Fluid Dynamics and Mixing
0.67
article

Determination of Gas Void Fraction in a Bubble Column Reactor Using Fiber-Optic Distributed Acoustic Sensing

Mark W. Hlawitschka, Marco J. da Silva, Guilherme Heim Weber, Cícero Martelli, Yannik Schick
article en
1 citations

Abstract

The broad application field of bubble column reactors (BCRs) is contrasted by complex inherent dynamics, which gives rise to the need for intelligent monitoring systems. The latest advances in fiber-optic sensor technology represent a promising approach to enable detailed insights into large-scale geometries. In this work, we report on the use of a novel method to nonintrusively determine the gas void fraction in BCRs using distributed acoustic sensing (DAS). This study provides a holistic concept demonstration, covering the physical background, instrumentation, data processing, and testing. The optical fiber used was wound helically around the reactor, allowing the propagation of acoustic emissions to be detected and the speed of sound to be determined. The technology is based on a passive approach and uses the natural sound emissions of the gas bubbles sparged into the vessel. Within the framework of this article, first tests were carried out on a laboratory-scale 2-m-high water–air reactor. The application demonstrates encouraging outcomes compared to a reference method based on height expansion. An examination of gas void fractions up to 4% reveals that the DAS measurement underestimates the void fraction by an absolute maximum of 0.62% using a cross-correlation algorithm. The presented conceptual study highlights the significant potential of DAS as a nonintrusive sensing technique for BCRs.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Johannes Kepler University of Linz (AT), Universidade Tecnológica Federal do Paraná (BR)
Openalex Percentile: Top 28%
Fluid Dynamics and Mixing
0.67
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Determination of Gas Void Fraction in a Bubble Column Reactor Using Fiber-Optic Distributed Acoustic Sensing — Mark W. Hlawitschka, Marco J. da Silva, et al. · IEEE Transactions on Instrumentation and Measurement (2025) | TGRS Research Map | TGRS