Process Validation in Modular Plants considering the Scale-Up and Prior Knowledge
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Modular plants built from process equipment assemblies (PEAs) provide a promising solution to challenges like increasing requirements of flexibility and faster time to market. To leverage the potential in processes under good manufacturing practice (GMP) conditions new methods are required to support the process validation in modular plants. In this paper, we present an integrated approach to Quality by Design and Process Performance Qualification between lab and production scale in modular plants applying the Product-Process-Resource model by Bamberg et al. (2021). Furthermore, we reformulate the Extended Flexibility Analysis by Ochoa et al. (2021) adapting the terminology to the Quality by Design context and adding the control inputs in the form of the CPPs to the optimization problem. The problem is solved by means of a grid search algorithm. The approach is studied and illustrated in a simulation-based case study with a simple reaction system.
Details
Original language | English |
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Title of host publication | Computer Aided Chemical Engineering |
Publisher | Elsevier |
Pages | 2057-2062 |
Number of pages | 6 |
Volume | 52 |
Publication status | Published - Jan 2023 |
Peer-reviewed | Yes |
External IDs
Scopus | 85166906613 |
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ORCID | /0000-0001-5165-4459/work/146644596 |
ORCID | /0000-0001-7012-5966/work/146645154 |
Mendeley | f25da2f2-cf81-324f-ba93-dcb7ed40a907 |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
Sustainable Development Goals
Keywords
- Design Space, Modular Plant, Process Performance Qualification, Quality by Design, Scale-Up