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An Application of Modifier Adaptation with Quadratic Approximation on a Pilot Scale Plant in Industrial Environment
- The goal of this work is to identify the optimal operating input for a lithiation reaction that is performed in a highly innovative pilot scale continuous flow chemical plant in an industrial environment, taking into account the process and safety constraints. The main challenge is to identify the optimum operation in the absence of information about the reaction mechanism and the reaction kinetics. We employ an iterative real-time optimization scheme called modifier adaptation with quadratic approximation (MAWQA) to identify the plant optimum in the presence of plant-model mismatch and measurement noise. A novel NMR PAT-sensor is used to measure the concentration of the reactants and of the product at the reactor outlet. The experiment results demonstrate the capabilities of the iterative optimization using the MAWQA algorithm in driving a complex real plant to an economically optimal operating point in the presence of plant-model mismatch and of process and measurement uncertainties.The goal of this work is to identify the optimal operating input for a lithiation reaction that is performed in a highly innovative pilot scale continuous flow chemical plant in an industrial environment, taking into account the process and safety constraints. The main challenge is to identify the optimum operation in the absence of information about the reaction mechanism and the reaction kinetics. We employ an iterative real-time optimization scheme called modifier adaptation with quadratic approximation (MAWQA) to identify the plant optimum in the presence of plant-model mismatch and measurement noise. A novel NMR PAT-sensor is used to measure the concentration of the reactants and of the product at the reactor outlet. The experiment results demonstrate the capabilities of the iterative optimization using the MAWQA algorithm in driving a complex real plant to an economically optimal operating point in the presence of plant-model mismatch and of process and measurement uncertainties.…
Autor*innen: | A. R. Gottu Mukkula, Simon KernORCiD, M. Salge, M. Holtkamp, Svetlana Guhl, C. Fleischer, Klas MeyerORCiD, M. Remelhe, Michael MaiwaldORCiD, S. Engell |
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Dokumenttyp: | Zeitschriftenartikel |
Veröffentlichungsform: | Verlagsliteratur |
Sprache: | Englisch |
Titel des übergeordneten Werkes (Englisch): | IFAC-PapersOnLine |
Jahr der Erstveröffentlichung: | 2020 |
Organisationseinheit der BAM: | 1 Analytische Chemie; Referenzmaterialien |
1 Analytische Chemie; Referenzmaterialien / 1.4 Prozessanalytik | |
Veröffentlichende Institution: | Bundesanstalt für Materialforschung und -prüfung (BAM) |
Verlag: | Elsevier |
Verlagsort: | Amsterdam |
Jahrgang/Band: | 53 |
Ausgabe/Heft: | 2 |
Erste Seite: | 11773 |
Letzte Seite: | 11779 |
DDC-Klassifikation: | Naturwissenschaften und Mathematik / Chemie / Analytische Chemie |
Freie Schlagwörter: | CONSENS; Iterative real-time optimization; Modifier adaptation; Online NMR Spectroscopy; Plant-model mismatch; Process Analytical Technology; Process Industry; Reactor control |
Themenfelder/Aktivitätsfelder der BAM: | Chemie und Prozesstechnik |
Chemie und Prozesstechnik / Chemische Charakterisierung und Spurenanalytik | |
Umwelt | |
Umwelt / Sensorik | |
DOI: | 10.1016/j.ifacol.2020.12.685 |
URN: | urn:nbn:de:kobv:b43-524531 |
ISSN: | 1522-2640 |
Verfügbarkeit des Dokuments: | Datei für die Öffentlichkeit verfügbar ("Open Access") |
Lizenz (Deutsch): | Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
Datum der Freischaltung: | 19.04.2021 |
Referierte Publikation: | Ja |
Datum der Eintragung als referierte Publikation: | 24.06.2021 |
Schriftenreihen ohne Nummerierung: | Wissenschaftliche Artikel der BAM |