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TU Berlin

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Christian Hoffmann, M.Sc.

Lupe

Research Assistant

KWT-A 110

Tel. +49 30 314 22486

Fax +49 30 314 26915

ResearchGate

 

Office hours: by arrangement

PhD project

  • process synthesis under consideration of process dynamics
  • simultaneous design of process and control
  • dynamic MINLP optimization
  • methanol synthesis from CO2

Current project

Lupe

  • ChemEFlex project
  • objective: evaluation of flexibility potentials of electrochemical process in the chemical industry using the example of the chlor-alkali electrolysis
  • funding: German Federal Ministry for Economic Affairs and Energy (BMWi)

Other current activities

  • operation of a vacuum distillation column for the separation of fatty alcohols
  • parameter estimation with subset selection
  • part of the development team of the OptiPAL suite, an OPC UA-based tool for online applications of parameter and state estimation, and optimal experimental design for mini plants
  • part of the development team of a framework for the identification of dynamic, nonlinear systems
  • developer of the LaTeX template for theses at the d|b|t|a

Supervised courses

  • Thermodynamics II (multiphase thermodynamics)
  • Process Systems Engineering

Theses

Current calls and guidelines:

Current calls of the research group

LaTeX template for theses

 

Current supervised theses (Bachelor/Master):

S. Prieto Romaña (2020):Dynamic, Pressure-driven Modeling of a Tray Column based on Smooth Switch Functions, Master's thesis.

Y. Rahmat (2019): Modellierung und techno-ökonomische Bewertung der erneuerbaren Methanolherstellung, Master's thesis in cooperation with DLR.

I. Ruiz Nestosa (2020): Dynamic Modeling and Experimental Validation of a Packed Distillation Column (Arbeitstitel), Master's thesis.

 

Completed supervised theses (Bachelor/Master):

N. Oye (2019): Conceptual Design of a Reactor for Investigating Process Dynamics and Operations, Bachelor's thesis.

L. Meuleneers (2019): Process Design under Consideration of Process Dynamics Using an Ideal Economic NMPC, Master's thesis.

D. Staubach (2019): Parameterschätzung mit Subset-Selection für die Zustandsgleichung PC-SAFT, Bachelor's thesis.

O. Bergmann (2019): Dynamic Modeling of a Fluidized-bed Reactor for the Methanol Synthesis from Carbon Dioxide and Hydrogen, Bachelor's thesis.

S. Irmscher (2019): Parameterschätzung mit Subset-Selection für die gE-Modelle Wilson und NRTL, Bachelor's thesis.

R. Müller (2018): Modellierung äußerer und innerer Stoff- und Wärmeübertragungswiderstände bei der Methanolsynthese aus Kohlenstoffdioxid, Master's thesis.

J. Weber (2018): Inbetriebnahme einer Vakuumkolonne mit modellbasierter Betriebspunktoptimierung und Data Reconciliation, Master's thesis.

D. Hettmann (2018): Untersuchung zur Abnahme der Laufzeit einer DMF- und Wasser-Kolonne, Master's thesis in cooperation with dralon GmbH.

V. Kozachynskyi (2018): Dynamic Modeling and Simulation of a Reactive Distillation downstream the Chlor-Alkali-Electrolysis, Master's thesis.

P. Molano (2018): Dynamic Modeling and Optimization of a Coupled Synthesis-adsorption Cycle for CO2 Based Methanol Production, Master's thesis.

S. Reinecke (2017): Dynamische Modellierung und Entwicklung von Regelungskonzepten für die Methanolsynthese aus Kohlensto dioxid und Wasserstoff , Master's thesis.

K. Jankowska (2016): Design of a Membrane Test Stand to Measure Permeances of Methanol and Water, Bachelor's thesis in cooperation with Politechnika Krakowska.

Publications and Presentations

Publications:

C. Hoffmann, J. Weigert, E. Esche, J.-U. Repke (2019): Towards Demand-side Management of the Chlor-alkali Electrolysis: Dynamic, Pressure-driven Modeling and Model Validation of the 1,2-Dichloroethane Synthesis, Chemical Engineering Science, accepted, doi: 10.1016/j.ces.2019.115358

C. Hoffmann, E. Esche, J.-U. Repke (2019): Integration of Design and Control Based on Large-Scale NLP Reformulations and an Optimal Economic NMPC, Proceedings of the 9th International Conference on Foundations of Computer-Aided Process Design, Elsevier, 125-130.

J. Weigert, E. Esche, C. Hoffmann, J.-U. Repke (2019): Generation of Data-Driven Models for Chance-Constrained Optimization, Proceedings of the 9th International Conference on Foundations of Computer-Aided Process Design, Elsevier, 311-316.

E. Esche, J. Weigert, T. Budiarto, C. Hoffmann, J.-U. Repke (2019): Optimization Under Uncertainty Based on a Data-driven Model for a Chloralkali Electrolyzer Cell, Proceedings of the 29th European Symposium on Computer Aided Chemical Engineering (Part A), Elsevier, 577-582.

T. Budiarto, J. Weigert, C. Hoffmann, E. Esche, J.-U. Repke (2019): Evaluation of Discretization Methods for Modeling the Chloralkali Membrane Process, Proceedings of the 29th European Symposium on Computer Aided Chemical Engineering (Part A), Elsevier, 589-594.

C. Hoffmann, J. Weigert, E. Esche, J.-U. Repke (2019): Parameter Estimation for Thermodynamic Models Using an Identifiability Analysis and Subset Selection, Proceedings of the 29th European Symposium on Computer Aided Chemical Engineering (Part A), Elsevier, 583-587.

C. Hoffmann und J. Weigert, T. Budiarto, E. Esche, J.-U. Repke (2018): Demand-Response-Potenziale elektrochemischer Verfahren am Beispiel der Chlor-Alkali-Elektrolyse, Chemie Ingenieur Technik 90: 1166-1166.

E. Esche, C. Hoffmann, M. Illner, D. Müller, S. Fillinger, G. Tolksdorf, H. Bonart, G. Wozny, J.-U. Repke (2017): MOSAIC - Enabling Large-Scale Equation-Based Flowsheet Optimization, Chemie Ingenieur Technik 89: 620-635.

C. Hoffmann, M. Illner, D. Müller, E. Esche, G. Wozny und J.-U. Repke (2016): Moving-horizon State Estimation with Gross Error Detection for a Hydroformylation Mini-plant, Computer Aided Chemical Engineering 38: 1485-1490.

C. Hoffmann (2015): Real-time Optimization and Moving-horizon State Estimation for a Hydroformylation Plant, Masterarbeit.

 

Presentations:

 

V. Kozachynskyi, S. Bublitz, M. Illner, J. Weigert, C. Hoffmann, E.Esche, J.-U. Repke (2019): Enabling fast-track process development with MOSAICmodeling and the OptiPAL Suite, Jahrestreffen der Fachgemeinschaft Prozess-, Apparate- und Anlagentechnik (PAAT), 4.-5. November, Dortmund, Deutschland.

 

C. Hoffmann, D. Staubach, E. Esche, J.-U. Repke (2019): Identifizierbarkeit thermodynamischer Modelle am Beispiel der gE-Modelle Wilson und NRTL sowie der PC-SAFT-Zustandsgleichung, Thermo-Kolloquium, 30. September-02. Oktober, Duisburg, Deutschland.

V. Kozachynskyi, S. Bublitz, M. Illner, J. Weigert, C. Hoffmann, E. Esche, J.-U. Repke (2019): OPC UA-based Concept for Online Implementation of Model-based Advanced Process Control Tools, ECCE-12, 15.-19. September, Mailand, Italien.

C. Hoffmann, J. Weigert, E. Esche, J.-U. Repke (2019): Parameter Estimation for Thermodynamic Models Using an Identifiability Analysis and Subset Selection, ESCAPE-29, 16.-19. Juni, Eindhoven, Niederlande.

C. Hoffmann, J. Weigert, E. Esche, J.-U. Repke (2019): Dynamische, druckgetriebene Kolonnenmodellierung und -simulation am Beispiel der 1,2-Dichlorethanproduktion, Jahrestreffen der ProcessNet-Fachgruppen Fluidverfahrenstechnik und Membrantechnik, 27.-29. März 2019, Potsdam, Deutschland.

V. Kozachynskyi, S. Bublitz, M. Illner, J. Weigert, C. Hoffmann, E. Esche, J.-U. Repke (2018): Conceptual data model based on an OPC UA architecture, its benefits and implementation, Jahrestreffen der Fachgemeinschaft Prozess-, Apparate- und Anlagentechnik (PAAT), 12.-13. November, Köln, Deutschland.

C. Hoffmann, J. Weigert, T. Budiarto, E. Esche, J.-U. Repke (2018): Demand-response Potenziale elektrochemischer Verfahren am Beispiel der Chlor-Alkali-Elektrolyse, ProcessNet-Jahrestagung und 33. Dechema-Jahrestagung der Biotechnologen, 10.-13. September, Aachen, Deutschland.

H. R. Godini, T. Karsten, C. Hoffmann, O. Görke, G. Wozny und J.-U. Repke (2017): Integrated Membrane Reactors for Efficient Ethylene and Methanol Production, Third European Workshop on Membrane Reactors, März, Verona, Italien.

 

Posters:

C. Hoffmann, E. Esche, J.-U. Repke (2019): Integration of Design and Control Based on Large-Scale NLP Reformulations and an Optimal Economic NMPC, FOCAPD, 14.-18. Juli.

J. Weigert, E. Esche, C. Hoffmann, J.-U. Repke (2019): Generation of Data-Driven Models for Chance-Constrained Optimization, FOCAPD, 14.-18. Juli.

T. Budiarto, J. Weigert, C. Hoffmann, E. Esche, J.-U. Repke (2019): Evaluation of Discretization Methods for Modeling the Chloralkali Membrane Process, ESCAPE-29, 16.-19. Juni.

E. Esche, J. Weigert, T. Budiarto, C. Hoffmann, J.-U. Repke (2019): Optimization Under Uncertainty Based on a Data-driven Model for a Chloralkali Electrolyzer Cell, ESCAPE-29, 16.-19. Juni.

C. Hoffmann, J.-U. Repke (2016): Zweidimensionale Modellierung eines Festbettreaktors für die dynamische Methanolsynthese aus Kraftwerks-CO2 mit anschließender Integration in Aspen Plus, Jahrestreffen der Fachgemeinschaft Prozess-, Apparate- und Anlagentechnik (PAAT), 14.-15. November, Karlsruhe, Deutschland.

C. Hoffmann, M. Illner, D. Müller, E. Esche, G. Wozny und J.-U. Repke (2016): Moving-horizon State Estimation with Gross Error Detection for a Hydroformylation Mini-plant, ESCAPE-26, 12.-15. Juni, Portoroz, Slovenien.

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