ENBIS Spring Meeting 2023

Session

Contributed session “Digital Twins for Modeling and Optimization”

25 May 2023, 16:00

Building 101A, Meeting Room 1 (Copenhagen)

10. Integrated & Computer-Aided Product & Process Design: Liquid-Liquid Extraction of Industrially Relevant Organic Acids in biomanufacturing

Adem R. N. Aouichaoui (Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark)

25/05/2023, 16:00

Separation and purification processes are responsible for a large portion of the production cost in the bioprocessing industry (McGlaughlin, 2012). As such, significant interest and efforts have been geared toward improving existing processes or developing new and innovative ones. Extractive recovery of products from fermentation broth provides an attractive way of separating heat-sensitive or...

15. Automated Bioreactor Compartmentalization Using Unsupervised Machine Learning

Mr Víctor Puig I Laborda (Danmarks Tekniske Universitet)

25/05/2023, 16:20

Digital Twins are essential in Bioprocessing 4.0 as virtual representations of bioprocess components. Existing coupling methods between Computational Fluid Dynamics (CFD) and biological models focus on simple metabolic approaches, resulting in complex simulations that strain high-performance computers.

We propose an automated compartmentalization approach for bioreactors using unsupervised...

17. A computational framework for predictive digital twins of civil engineering structures

Matteo Torzoni (Dipartimento di Ingegneria Civile e Ambientale, Politecnico di Milano)

25/05/2023, 16:40

The digital twin concept represents the most appealing opportunity to move forward condition-based and predictive maintenance practices. Enabling such a paradigm shift for civil engineering systems would allow for reducing lifecycle (economic and social) costs and increasing the system safety and availability. This is nowadays possible as the installation of permanent real-time data collecting...

18. Steps toward a Digital Twin: Biomass and growth rate modelling in batch and fed-batch bioprocess of Lactobacillus rhamnosus

Helena Mylise Sørensen (Dublin City University)

25/05/2023, 17:00

Lactobacillus rhamnosus (L. rhamnosus) represent a valuable potential for applications in the continuously growing multi-billion euro functional-food industry. This commensal microorganism is known for its multiple health benefits including immunomodulatory and gut-stimulating properties. Optimizing the production of L. rhamnosus biomass can enhance the efficacy of its use. In this...