Flow-following sensor technology, a route to validated CFD models

Journal Article (2025)
Authors

C. Haringa (TU Delft - BT/Bioprocess Engineering)

Tannaz Tajsoleiman (Freesense ApS)

Wouter A. van Winden (dsm-firmenich)

Daniel Dong (dsm-firmenich)

Ray M. Gladue (dsm-firmenich)

Liang Wu (dsm-firmenich)

Tue Rasmussen (Freesense ApS)

Henk J. Noorman (TU Delft - BT/Bioprocess Engineering, dsm-firmenich)

Research Group
BT/Bioprocess Engineering
To reference this document use:
https://doi.org/10.1016/j.bej.2024.109623
More Info
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Publication Year
2025
Language
English
Research Group
BT/Bioprocess Engineering
Volume number
215
DOI:
https://doi.org/10.1016/j.bej.2024.109623
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Abstract

Flow-following sensor technology offers a method to collect information on flow patterns and local velocities in pilot- and industrial scale reactors, which are practically inaccessible to many measurement techniques. Such data is highly valuable for scale-up of bioprocesses, as well as validation of bioreactor CFD simulations. Flow-following sensors were applied in a pilot-scale (2 m3 filled volume) bubble column fermentor, showing that axially resolved data can be acquired under heterogeneous bubbly flow conditions with high gas holdup. Next the use of the collected data for validation of CFD simulations of the pilot-scale reactor is explored, discriminating between models utilizing different interphase interaction models. The CFD simulation was found capable of capturing the velocity profile and circulation behavior, but full validation was found to be challenging. When simulating virtual sensors via Lagrangian particle tracking, differences are observed in terms of particle distribution and sensitivity to particle density between experimental and simulated data, indicating further development of representative CFD simulations is required.