Modular process development in the laboratory – Plug &amp; Research

Bittorf, Lukas; Oeing, Jonas; Kock, Tobias; Hoernicke, Mario; Holm, Thomas; Kockmann, Norbert

doi:10.1002/cite.202055166

Cited by 3 publications

(4 citation statements)

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“…There are also different procedures enabling a completely automated start‐up and continuous operation of the plant. However, this should not be described in this contribution and was partly presented in 35, 36. In the following, the basic setup, automation, and control for operating the column is described, without going into detail regarding the service architecture.…”

Section: Methodsmentioning

confidence: 99%

Characterization of an Automated Spinning‐Band Column as a Module for Laboratory Distillation

et al. 2021

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Modularization is a promising technology to respond to short product life cycles. Not only in production but also in the laboratory, the concept of modularization can help to quickly explore new products or processes. A modular continuously operated spinning‐band distillation column for small product amounts is presented and characterized regarding operating window and separation efficiency. The column can be used either for first product amounts within a small‐scale production or as feasibility studies for distillation in a scale‐up context with small amounts of resources, energy, and time. By introducing the modular automation concept and a certain degree of automation structures, this column can be operated almost fully automatically and integrated quickly to higher automation structures such as a process orchestration layer.

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Section: Methodsmentioning

confidence: 99%

Characterization of an Automated Spinning‐Band Column as a Module for Laboratory Distillation

et al. 2021

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“…The laboratory experiments were performed with two separation columns for distillation and extraction, respectively. Both are equipped with a newly developed, modular automation system following the MTP approach 47.…”

Section: Methodsmentioning

confidence: 99%

“…46 In the case of the spinning band distillation column, the pressure drop is also massively influenced by the spinning band speed. This behavior could be already implemented to a control strategy 47, but still, the column is running into the undesired state of flooding. The complex hydrodynamics of the system with a rotating internal and the two‐phase flow is very hard to model and predict precisely.…”

Section: Methodsmentioning

confidence: 99%

Flooding Prevention in Distillation and Extraction Columns with Aid of Machine Learning Approaches

Oeing

Neuendorf

Bittorf

et al. 2021

Chemie Ingenieur Technik

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Flooding of separation columns is a severe limitation in the operation of distillation and liquid‐liquid extraction columns. To observe operation conditions, machine learning algorithms are implemented to recognize the flooding behavior of separation columns on laboratory scale. Besides this, the investigated columns already provided the modular automation interface Module Type Package (MTP), which is used for data access of necessary sensor data. Hence, artificial intelligence (AI) tools with deep learning offer high potential for the process industry and allow to capture operating states that are otherwise difficult to detect or model. However, the advanced methods are only hesitantly applied in practice due to complex combination of operational sensing, data analysis, and active control of the equipment. This article provides an overview on how AI‐based algorithms can be implemented in existing laboratory plants. Process sensor data as well as image data are used to model the flooding behavior of distillation and extraction columns for stable and robust operational conditions.

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“…Supporting Information for this article can be found under DOI: https://doi.org/10.1002/ceat.202200390. This section includes additional references to primary literature relevant for this research [31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48].…”

Section: Supporting Informationmentioning

confidence: 99%

Design of Module Type Package Services for Modular Downstream Units and Process Analytic Technology

et al. 2023

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Modularization of process plants with its standardization activities is one of the current responses to react to dynamic markets, shorter product life cycles, and uncertain supply chains. Standardized solutions for intelligent process equipment assemblies with own automation promise high potential for chemical and pharmaceutical industries. Despite the standardized description of the module type package (MTP) and the corresponding service concept, the implementation of the service logic is left to the manufacturer, which often leads to finding various granular services for different process functions or assemblies. In this contribution, different service design approaches for a generic ‘separate’ service are investigated on the example of a solvent extraction and a distillation column. Additionally, a Raman spectroscope device for process analysis is implemented via MTP with an ‘analyze’ service. Pros and cons of the different service design approaches are discussed in the context of a fast and flexible process development in the laboratory.

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Modular process development in the laboratory – Plug & Research

Cited by 3 publications

References 0 publications

Characterization of an Automated Spinning‐Band Column as a Module for Laboratory Distillation

Characterization of an Automated Spinning‐Band Column as a Module for Laboratory Distillation

Flooding Prevention in Distillation and Extraction Columns with Aid of Machine Learning Approaches

Design of Module Type Package Services for Modular Downstream Units and Process Analytic Technology

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