Dynamic Modeling and Control of a Continuous Biopharmaceutical Manufacturing Plant

Mohammad Amin Boojari, Simone Perra, Giorgio Colombo, Matteo Grossi, Mark Nicholas Jones, Isuru Udugama, Morteza Nikkhah Nasab, Mohammad Fakroleslam, Ali M. Sahlodin, Seyed Abbas Shojaosadati, Krist V. Gernaey and Seyed Soheil Mansouri ()
Additional contact information
Mohammad Amin Boojari: Tarbiat Modares University
Simone Perra: Technical University of Denmark
Giorgio Colombo: Technical University of Denmark
Matteo Grossi: Technical University of Denmark
Mark Nicholas Jones: Technical University of Denmark
Isuru Udugama: Technical University of Denmark
Morteza Nikkhah Nasab: AmirKabir University of Technology (Tehran Polytechnic)
Mohammad Fakroleslam: Tarbiat Modares University
Ali M. Sahlodin: AmirKabir University of Technology (Tehran Polytechnic)
Seyed Abbas Shojaosadati: Tarbiat Modares University
Krist V. Gernaey: Technical University of Denmark
Seyed Soheil Mansouri: Technical University of Denmark

A chapter in Optimization of Pharmaceutical Processes, 2022, pp 323-353 from Springer

Abstract: Abstract The application of model-based tools in biopharmaceutical industry is an active area of research to design, control and analysis of existing and future production of new drugs and therapeutics. In this chapter, a reference plant-wide model for production of a biopharmaceutical compound is proposed. It captures the generic process dynamics of a biopharmaceutical process. As such, it is well-suited to use as a test problem to evaluate different processing scenarios in continuous and semi-continuous fermentation processes.

Keywords: Benchmark model; Simulation; Plant-wide model; Biopharmaceutical production (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-030-90924-6_12

Ordering information: This item can be ordered from
http://www.springer.com/9783030909246

DOI: 10.1007/978-3-030-90924-6_12

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().