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M.Sc. Corina Nentwich

M.Sc. Corina Nentwich Photo of M.Sc. Corina Nentwich

Telephone
(+49)231 755-6080

Fax
(+49)231 755-5129

Address

Fakultät Bio- und Chemieingenieurwesen
Lehrstuhl für Systemdynamik und Prozessführung
Geschossbau 2

Room 509

Contents

Short CV

Corina Nentwich studied Chemical Engineering at the Department of Biochemical and Chemical Engineering TU Dortmund. Since December 2014 she is working as a research associate at the chair of Process Dynamics and Operations.

Consultation Hour

By arrangement via mail.

Research Interests
  • surrogate modeling in process optimization and design
  • data-based process models
  • thermodynamic modeling
  • optimization-based support of process development
  • process optimization under uncertainty
  • early phase process synthesis

Projects

InPROPMT_DFG

SFB/Transregio 63 InPROMPT (Subproject D1)

Subproject D1 focusses on the early phase of process design. In this phase, the main task is the generation of process alternatives and the evaluation of different alternatives under uncertainty. The early process development can be supported by the identification of the most promising process alternatives and the most critical model uncertainties which the lab research should be focused on.

Teaching
  • Introduction to Process Dynamics and Control/Prozessdynamik und Regelung (WS 18/19, WS 17/18, WS15/16)
  • Data-based dynamic modeling (SS18, SS17, SS16, SS15)
  • Einführung in die Programmierung (SS18, SS17)
  • Supervision of labs

Other Responsibilities

  • Senate member of the TU Dortmund University
  • Coordinator and contact person for academic staff of the TU Dortmund University for matters of academic policy

Supervised Theses

Master Thesis Christopher Varela - Modeling and optimization of a reaction-separation system with surrogate models for the phase equilibrium calculations (2018)

Master Thesis Min Wu - Application of surrogate models for the activity coefficient calculation in a reactive distillation column (2018)

Bachelor Thesis Joschka Winz - Adaptive sequential sampling for surrogate modeling of fugacity coefficients (2018)

Bachelor Thesis Roderich Wallrath - Adaptive sequential sampling for surrogate modeling of liquid-liquid phase equilibrium calculations (2018)

Bachelor Thesis Fatima Abbas - Application of surrogate models for liquid-liquid equilibrium computations (2017)

Master Thesis Nan Wang - Kinetic modelling of the methoxycarbonylation of methyl 10-undecenoate via model-based optimal design of experiment (2017)

Master Thesis Bing Ping - Modellierung und Optimierung von Prozessen zur Hydroformylierung langkettiger Olefine mit mizellaren Lösungsmittelsystemen und organophiler Nanofiltration (2016)

Master Thesis Francesco Benski - Experimentelle Untersuchung und Design eines Prozesses zur Hydroesterifizierung oleochemischer Substrate (2015)


Publications


articleNentwich, Engell

Surrogate modeling of phase equilibrium calculations using adaptive sampling

Computers & Chemical Engineering, 126, 204-217, 2019

in proceedingsKeßler, Mertens, Kunde, Nentwich, Michaels, Engell, Kienle

Efficient global optimization of a novel hydroformylation process

ESCAPE-27, European Symposium on Computer Aided Process Engineering, 40, 2113-2118, 2017

in proceedingsBenski, Nentwich, Engell

Optimization-based early phase design of a homogeneously catalysed process in a thermomorphic solvent system

ESCAPE-27, European Symposium on Computer Aided Process Engineering, 40, 715-720, 2017

in proceedingsNentwich, Engell

Application of surrogate models for the optimization and design of chemical processes

IEEE World Congress of Computational Intelligence, Proceedings of the International Joint Conference on Neural Networks (IJCNN), 1291-1296, 2016

talkNentwich, Steimel, Engell

Entwicklung und Optimierung chemischer Prozesse unter Verwendung von datenbasierten Modellen

ProcessNet Jahrestagung, 2016

talkNentwich, Steimel, Engell

Datenbasierte Modelle zur Prozesssimulation und Optimierung von Verfahren in der frühen Entwicklungsphase

PAAT, 2015

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