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Optimize Flue Gas Settings to Promote Microalgae Growth in Photobioreactors via Computer Simulations
Published on: October 1, 2013
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Modeling multiphase fluid flow, mass transfer, and chemical reactions in bioreactors using large-eddy simulation
Navraj Hanspal1, Brian DeVincentis2, John A Thomas2
1Corteva Agriscience Midland Michigan USA.
Engineering in Life Sciences
|February 8, 2023
Summary
This study introduces a new simulation model for bioreactors, enhancing our understanding of how reactions affect species concentration and mass transfer in these systems.
Area of Science:
- Biochemical Engineering
- Computational Fluid Dynamics
- Chemical Reaction Engineering
Background:
- Bioreactor systems involve complex interlinked physics, including hydrodynamics, mixing, and reaction kinetics.
- Accurate simulation of these processes is crucial for optimizing bioreactor design and performance.
- Existing models may not fully capture the interplay between fluid dynamics and chemical reactions.
Purpose of the Study:
- To develop and present a transient large eddy simulation (LES) modeling approach for bioreactors.
- To simulate the coupled phenomena of free surface hydrodynamics, multiphase mixing, reaction kinetics, and mass transport.
- To investigate the impact of reaction kinetics on species concentration and mass transfer.
Main Methods:
- Implementation of a transient large eddy simulation (LES) modeling approach.
- Inclusion of uniform and complex biochemical reaction kinetics (Contois type).
- Simulation of both non-reacting and reacting bioreactor systems.
Main Results:
- The simulation approach effectively models interlinked physics in bioreactors.
- Reaction kinetics were shown to induce non-uniform, spatially varying species concentration fields.
- The extent of non-uniformity directly correlates with reaction rates and local volumetric mass transfer coefficients.
Conclusions:
- The developed LES model provides a robust tool for simulating complex bioreactor physics.
- Understanding the influence of reaction kinetics on species distribution is key for bioreactor optimization.
- This approach aids in predicting and controlling mass transport phenomena in reacting bioreactor systems.
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