ArticleEngineering in life sciences2023
An analysis of organism lifelines in an industrial bioreactor using Lattice-Boltzmann CFD.
Article in Engineering in life sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Simulating large-scale biotech bubble columns: challenges and insights from the parcel approach.Bioprocess and biosystems engineering · 2026Article
- Homogeneous shear distribution improves NK-92 cell cytotoxicity in a clinically relevant 2 L membrane-stirred bioreactor.Frontiers in bioengineering and biotechnology · 2026Article
- Physiology and Robustness of Yeasts Exposed to Dynamic pH and Glucose Environments.Biotechnology and bioengineering · 2025Article
- Modeling and validating of oxygen transport in wave bioreactors: optimized experimental mass transfer method and novel Lattice-Boltzmann CFD approach.Frontiers in bioengineering and biotechnology · 2025Article
- From Spatial-Temporal Multiscale Modeling to Application: Bridging the Valley of Death in Industrial Biotechnology.Bioengineering (Basel, Switzerland) · 2023Review
- Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large-eddy simulation.Engineering in life sciences · 2023Article
- An analysis of organism lifelines in an industrial bioreactor using Lattice-Boltzmann CFD.Engineering in life sciences · 2023Article
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1 author.
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Abstract
Euler-Lagrange CFD simulations, where the biotic phase is represented by computational particles (parcels), provide information on environmental gradients inside bioreactors from the microbial perspective. Such information is highly relevant for reactor scale-down and process optimization. One of the major challenges is the computational intensity of CFD simulations, especially when resolution of dynamics in the flowfield is required. Lattice-Boltzmann large-eddy simulations (LB-LES) form a very promising approach for simulating accurate, dynamic flowfields in stirred reactors, at strongly reduced computation times compared to finite volume approaches. In this work, the performance of LB-LES in resolving substrate gradients in large-scale bioreactors is explored, combined with the inclusion of a Lagrangian biotic phase to provide the microbial perspective. In addition, the hydrodynamic performance of the simulations is confirmed by verification of hydrodynamic characteristics (radial velocity, turbulent kinetic energy, energy dissipation) in the impeller discharge stream of a 29 cm diameter stirred tank. The results are compared with prior finite volume simulation results, both in terms of hydrodynamic and biokinetic observations, and time requirements.
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