LAPSE:2020.0021
Published Article
LAPSE:2020.0021
Systematic Selection of Green Solvents and Process Optimization for the Hydroformylation of Long-Chain Olefines
January 2, 2020
Including ecologic and environmental aspects in chemical engineering requires new methods for process design and optimization. In this work, a hydroformylation process of long-chain olefines is investigated. A thermomorphic multiphase system is employed that is homogeneous at reaction conditions and biphasic at lower temperatures for catalyst recycling. In an attempt to replace the toxic polar solvent N,N-dimethylformamide (DMF), ecologically benign alternatives are selected using a screening approach. Economic process optimization is conducted for DMF and two candidate solvents. It is found that one of the green candidates performs similarly well as the standard benchmark solvent DMF, without being toxic. Therefore, the candidate has the potential to replace it.
Keywords
BARON, green solvents, hydroformylation, process optimization, TMS
Suggested Citation
Keßler T, Kunde C, Linke S, McBride K, Sundmacher K, Kienle A. Systematic Selection of Green Solvents and Process Optimization for the Hydroformylation of Long-Chain Olefines. (2020). LAPSE:2020.0021
Author Affiliations
Keßler T: Otto von Guericke University Magdeburg, Chair for Automation/Modeling, Universitätsplatz 2, 39106 Magdeburg, Germany [ORCID]
Kunde C: Otto von Guericke University Magdeburg, Chair for Automation/Modeling, Universitätsplatz 2, 39106 Magdeburg, Germany [ORCID]
Linke S: Otto von Guericke University Magdeburg, Chair for Process Systems Engineering, Universitätsplatz 2, 39106 Magdeburg, Germany [ORCID]
McBride K: Max Planck Institute for Dynamics of Complex Technical Systems, Process Systems Engineering Group, Sandtorstraße 1, 39106 Magdeburg, Germany [ORCID]
Sundmacher K: Otto von Guericke University Magdeburg, Chair for Process Systems Engineering, Universitätsplatz 2, 39106 Magdeburg, Germany; Max Planck Institute for Dynamics of Complex Technical Systems, Process Systems Engineering Group, Sandtorstraße 1, 39106 Magde [ORCID]
Kienle A: Otto von Guericke University Magdeburg, Chair for Automation/Modeling, Universitätsplatz 2, 39106 Magdeburg, Germany; Max Planck Institute for Dynamics of Complex Technical Systems, Process Synthesis and Dynamics Group, Sandtorstraße 1, 39106 Magdeburg,
Journal Name
Processes
Volume
7
Issue
12
Article Number
E882
Year
2019
Publication Date
2019-11-26
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr7120882, Publication Type: Journal Article
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LAPSE:2020.0021
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doi:10.3390/pr7120882
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Jan 2, 2020
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CC BY 4.0
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Jan 2, 2020
 
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Original Submitter
Calvin Tsay
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