Process Monitoring with Online NMR Spectroscopy – An Enabler for Industrial Internet of Things (IIoT)
- Improvement in deep process understanding is a mandatory prerequisite for the application of modern concepts like Industrial Internet of Things (IIoT) or “Industrie 4.0”. This is particularly relevant in new process concepts such as intensified production in modularized plants. The direct hyphenation with online methods of process analytical technology (PAT) allows profound insights into the actual reactions within chemical and pharmaceutical production steps and provides necessary information for associated advanced control strategies. While the industrial application of online Raman spectroscopy has already been successfully demonstrated, low-field NMR spectroscopy is not yet adequately developed as an online method for use in process industry. The high information content combined with the low calibration effort makes NMR spectroscopy a highly promising method for modern process automation with a high flexibility due to short set-up times and novel calibration concepts. This is aImprovement in deep process understanding is a mandatory prerequisite for the application of modern concepts like Industrial Internet of Things (IIoT) or “Industrie 4.0”. This is particularly relevant in new process concepts such as intensified production in modularized plants. The direct hyphenation with online methods of process analytical technology (PAT) allows profound insights into the actual reactions within chemical and pharmaceutical production steps and provides necessary information for associated advanced control strategies. While the industrial application of online Raman spectroscopy has already been successfully demonstrated, low-field NMR spectroscopy is not yet adequately developed as an online method for use in process industry. The high information content combined with the low calibration effort makes NMR spectroscopy a highly promising method for modern process automation with a high flexibility due to short set-up times and novel calibration concepts. This is a major advantage especially within multi-purpose production plants, as well as for processes suffering from fluctuating quality of raw materials. The concept was evaluated on several example processes of pharmaceutical and chemical industry. The one presented here represents a stage of the synthesis of the industrially important solvent tetrahydrofuran consisting of the catalytic hydrogenation of 2-butine-1,4-diol was monitored. This reaction is proceeding via an intermediate product and suffers from competitive reaction paths. In this application, different spectroscopic methods were combined with the data obtained from classical process sensors, e.g., pressure, temperature, and flow transducers for the development of innovative control concepts.…
Autor*innen: | Svetlana Guhl |
---|---|
Koautor*innen: | Klas Meyer, Simon Kern, Patrick Gräßer, Lukas Wander, J. Acker, Michael Maiwald |
Dokumenttyp: | Posterpräsentation |
Veröffentlichungsform: | Präsentation |
Sprache: | Englisch |
Jahr der Erstveröffentlichung: | 2018 |
Organisationseinheit der BAM: | 1 Analytische Chemie; Referenzmaterialien |
1 Analytische Chemie; Referenzmaterialien / 1.4 Prozessanalytik | |
DDC-Klassifikation: | Naturwissenschaften und Mathematik / Chemie / Analytische Chemie |
Freie Schlagwörter: | Industrie 4.0 CONSENS; Hydrogenation; Indirect Hard Modeling; Industrial Internet of Things (IIoT); Lithiation; Online NMR Spectroscopy; Process Control |
Themenfelder/Aktivitätsfelder der BAM: | Umwelt |
Umwelt / Sensorik | |
Veranstaltung: | Practical Applications of NMR in Industry Conference (PANIC) 2018 |
Veranstaltungsort: | La Jolla, California, USA |
Beginndatum der Veranstaltung: | 04.03.2018 |
Enddatum der Veranstaltung: | 07.03.2018 |
Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
Datum der Freischaltung: | 12.03.2018 |
Referierte Publikation: | Nein |