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  Object-oriented modelling of large scale chemical engineering processes with ProMoT

Waschler, R., Angeles-Palacios, O., Ginkel, M., & Kienle, A. (2006). Object-oriented modelling of large scale chemical engineering processes with ProMoT. Mathematical and Computer Modelling of Dynamical Systems, 12(1), 5-18. doi:10.1080/13873950500071017.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-9A8C-D Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0015-3886-D
Genre: Journal Article
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 Creators:
Waschler, R.1, Author              
Angeles-Palacios, O.1, Author              
Ginkel, Martin2, Author              
Kienle, A.1, 3, Author              
Affiliations:
1Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738153              
2Systems Biology, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738155              
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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Free keywords: Object-oriented; Modelling tool; Chemical processes; Model libraries
 Abstract: The application of the process modelling tool ProMoT to large-scale chemical engineering processes is presented. Particular emphasis in on the flexibility of the tool in terms of creating flowsheet alternatives - a prerequisite for efficient plant design and control structure selection. The main concepts in this respect are the bottom-up development of an object-oriented knowledge base for the simplified implementation of submodels on the level of process units, the efficient aggregation on the flowsheet level and the flexibility to effectively perform top-down refinements for problem-specific applications. All concepts are illustrated on the basis of an industrial scale process. Copyright 2006 Taylor & Francis [accessed 2014 January 9th]

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Language(s): eng - English
 Dates: 2006
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: eDoc: 238101
DOI: 10.1080/13873950500071017
 Degree: -

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Title: Mathematical and Computer Modelling of Dynamical Systems
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 12 (1) Sequence Number: - Start / End Page: 5 - 18 Identifier: ISSN: 1387-3954
CoNE: https://pure.mpg.de/cone/journals/resource/954925622226