Tools for digital twins in continuous downstream processing

Simon Tallvod

Tools for digital twins in continuous downstream processing

Simon Tallvod

Division of Chemical Engineering

Research output: Thesis › Doctoral Thesis (compilation)

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Abstract

Biopharmaceuticals are of ever-growing importance for human health. The development and production of biopharmaceuticals has the potential for efficiency improvements by switching from batch-wise to continuous production. This change demands more advanced process control in the form of automation and digital tools such as digital twins, which in turn need adequate mathematical models and accessible process data.
This thesis discusses the concept of digital twins as well as the automation of modelling and data acquisition in integrated continuous downstream processes for the development and production of biopharmaceuticals. Utilizing in-house supervisory control software for chromatographic systems enables automation of modeling, calibration, sampling, and analysis in integrated downstream processes, advancing the development of digital twins.

Original language	English
Qualification	Doctor
Awarding Institution	Division of Chemical Engineering
Supervisors/Advisors	Nilsson, Bernt, Supervisor Andersson, Niklas, Assistant supervisor
Award date	2023 Nov 24
Place of Publication	Lund
Publisher	Department of Chemical Engineering, Lund University
ISBN (Print)	978-91-7422-996-7
ISBN (electronic)	978-91-7422-997-4
Publication status	Published - 2023 Nov 24

Bibliographical note

Defence details
Date: 2023-11-24
Time: 09:00
Place: Lecture Hall DC:Stora hörsalen, IKDC, Sölvegatan 26, Faculty of Engineering LTH, Lund University, Lund
External reviewer(s)
Name: Dürauer, Astrid
Title: Priv.-Doz. Dipl.-Ing. Dr.
Affiliation: University of Natural Resources and Life Sciences (BOKU), Austria
---

Subject classification (UKÄ)

Computer and Information Sciences

Free keywords

Digital twins
Biopharmaceuticals
Downstream processing
Chromatography
Mathematical modeling
Ion exchange
Automation
Sampling
Model calibration
Python

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Simon Tallvod - WEBBFinal published version, 3.37 MB

Cite this

@phdthesis{191aa4b8990d47f1a24868bfb57ff330,

title = "Tools for digital twins in continuous downstream processing",

abstract = "Biopharmaceuticals are of ever-growing importance for human health. The development and production of biopharmaceuticals has the potential for efficiency improvements by switching from batch-wise to continuous production. This change demands more advanced process control in the form of automation and digital tools such as digital twins, which in turn need adequate mathematical models and accessible process data.This thesis discusses the concept of digital twins as well as the automation of modelling and data acquisition in integrated continuous downstream processes for the development and production of biopharmaceuticals. Utilizing in-house supervisory control software for chromatographic systems enables automation of modeling, calibration, sampling, and analysis in integrated downstream processes, advancing the development of digital twins.",

keywords = "Digital twins, Biopharmaceuticals, Downstream processing, Chromatography, Mathematical modeling, Ion exchange, Automation, Sampling, Model calibration, Python",

author = "Simon Tallvod",

note = "Defence details Date: 2023-11-24 Time: 09:00 Place: Lecture Hall DC:Stora h{\"o}rsalen, IKDC, S{\"o}lvegatan 26, Faculty of Engineering LTH, Lund University, Lund External reviewer(s) Name: D{\"u}rauer, Astrid Title: Priv.-Doz. Dipl.-Ing. Dr. Affiliation: University of Natural Resources and Life Sciences (BOKU), Austria ---",

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month = nov,

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language = "English",

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type = "Doctoral Thesis (compilation)",

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TY - THES

T1 - Tools for digital twins in continuous downstream processing

AU - Tallvod, Simon

N1 - Defence details Date: 2023-11-24 Time: 09:00 Place: Lecture Hall DC:Stora hörsalen, IKDC, Sölvegatan 26, Faculty of Engineering LTH, Lund University, Lund External reviewer(s) Name: Dürauer, Astrid Title: Priv.-Doz. Dipl.-Ing. Dr. Affiliation: University of Natural Resources and Life Sciences (BOKU), Austria ---

PY - 2023/11/24

Y1 - 2023/11/24

N2 - Biopharmaceuticals are of ever-growing importance for human health. The development and production of biopharmaceuticals has the potential for efficiency improvements by switching from batch-wise to continuous production. This change demands more advanced process control in the form of automation and digital tools such as digital twins, which in turn need adequate mathematical models and accessible process data.This thesis discusses the concept of digital twins as well as the automation of modelling and data acquisition in integrated continuous downstream processes for the development and production of biopharmaceuticals. Utilizing in-house supervisory control software for chromatographic systems enables automation of modeling, calibration, sampling, and analysis in integrated downstream processes, advancing the development of digital twins.

AB - Biopharmaceuticals are of ever-growing importance for human health. The development and production of biopharmaceuticals has the potential for efficiency improvements by switching from batch-wise to continuous production. This change demands more advanced process control in the form of automation and digital tools such as digital twins, which in turn need adequate mathematical models and accessible process data.This thesis discusses the concept of digital twins as well as the automation of modelling and data acquisition in integrated continuous downstream processes for the development and production of biopharmaceuticals. Utilizing in-house supervisory control software for chromatographic systems enables automation of modeling, calibration, sampling, and analysis in integrated downstream processes, advancing the development of digital twins.

KW - Digital twins

KW - Biopharmaceuticals

KW - Downstream processing

KW - Chromatography

KW - Mathematical modeling

KW - Ion exchange

KW - Automation

KW - Sampling

KW - Model calibration

KW - Python

M3 - Doctoral Thesis (compilation)

SN - 978-91-7422-996-7

PB - Department of Chemical Engineering, Lund University

CY - Lund

ER -

Tools for digital twins in continuous downstream processing

Abstract

Bibliographical note

Subject classification (UKÄ)

Free keywords

Access to Document

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Automatic procedure for modelling, calibration, and optimization of a three-component chromatographic separation

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