BioBrAIn: 700L bioreactor - CFD-derived data

This case is based on the studies from Spann et al. and Tajsoleiman et al. on the formation of pH gradients in a <strong>700 L </strong>batch fermentation of <em>Streptococcus thermophilus</em>. These studies employed a single-phase CFD simulation to predict the evolution of pH gradients experimentally observed, and then assessed their effect on growth when coupled to a biokinetic model. Later, Nadal-Rey et al. utilized this reactor geometry to propose a workflow for developing a dynamic compartment model based on a library of staggered simulations, aiming to obtain a close-to-real-time representation of the hydrodynamics and respective gradients of substrate and oxygen.<br>Here, we constrained ourselves to solely solve for the flow fields based on this bioreactor geometry for different combinations of operating conditions. The combinations of operating conditions were sampled via a Latin-Hypercube-Sampling (LHS) approach, which stratifies each factor and selects one value per stratum to achieve near-uniform coverage with far fewer samples than simple random sampling. Hence, two distinct sets are shared: 1) With fixed impeller configuration, and 2) variable impeller configuration. <br>Further details about the meshing workflow, models implemented, and their parameterization can be found in the README.md file.<br>This dataset is part of the <strong>BioBrAIn </strong>collection -<em> A CFD database of bioreactors. </em>