Abstract
| Original language | English |
|---|---|
| Journal | Computers and Chemical Engineering |
| Volume | 123 |
| Pages (from-to) | 236-245 |
| ISSN | 0098-1354 |
| DOIs | |
| Publication status | Published - 2019 |
Keywords
- Fluid dynamics
- CFD based compartment model
- Automated compartmentalization
- Mixing
Cite this
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A CFD based automatic method for compartment model development. / Tajsoleiman, Tannaz; Spann, Robert; Bach, Christian; Gernaey, Krist V.; Huusom, Jakob Kjøbsted; Krühne, Ulrich.
In: Computers and Chemical Engineering, Vol. 123, 2019, p. 236-245.Research output: Contribution to journal › Journal article › Research › peer-review
TY - JOUR
T1 - A CFD based automatic method for compartment model development
AU - Tajsoleiman, Tannaz
AU - Spann, Robert
AU - Bach, Christian
AU - Gernaey, Krist V.
AU - Huusom, Jakob Kjøbsted
AU - Krühne, Ulrich
PY - 2019
Y1 - 2019
N2 - Computational fluid dynamics (CFD) is a powerful tool for quantitative prediction of fluid dependent properties in a finite volume. However, the complexity of solving the momentum balances and the continuity equations at each element of the discretized geometry can easily lead to an expensive computational task. Compartment modelling is a potential alternative to speed up the calculation, which is however reached at the expense of the level of accuracy. The most important factor in optimizing a compartment model (CM) concerning the accuracy and the computational time is the quality of the chosen compartments to represent the critical gradients. This work presents a new automated compartmentalization method to characterize an improved network of compartments derived from initial detailed CFD results, with a focus on cylindrical-shaped systems. This method was evaluated with a case study of a 700 L stirred tank bioreactor by estimating the mixing performance and demonstrating its high efficiency.
AB - Computational fluid dynamics (CFD) is a powerful tool for quantitative prediction of fluid dependent properties in a finite volume. However, the complexity of solving the momentum balances and the continuity equations at each element of the discretized geometry can easily lead to an expensive computational task. Compartment modelling is a potential alternative to speed up the calculation, which is however reached at the expense of the level of accuracy. The most important factor in optimizing a compartment model (CM) concerning the accuracy and the computational time is the quality of the chosen compartments to represent the critical gradients. This work presents a new automated compartmentalization method to characterize an improved network of compartments derived from initial detailed CFD results, with a focus on cylindrical-shaped systems. This method was evaluated with a case study of a 700 L stirred tank bioreactor by estimating the mixing performance and demonstrating its high efficiency.
KW - Fluid dynamics
KW - CFD based compartment model
KW - Automated compartmentalization
KW - Mixing
U2 - 10.1016/j.compchemeng.2018.12.015
DO - 10.1016/j.compchemeng.2018.12.015
M3 - Journal article
VL - 123
SP - 236
EP - 245
JO - Computers & Chemical Engineering
JF - Computers & Chemical Engineering
SN - 0098-1354
ER -