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Dr.-Ing. Erik Esche

Habilitand; Research Assistant with Teaching Obligations and Continuous Tasks

KWT-A 108 A

Tel. +49 30 314 21634

Fax +49 30 314 26915

S/MIME (X509v3): CA der TU Berlin

Fingerprint (SHA1): 8E:37:62:A1:86:09:B9:DB:06:DF:6C:82:6D:C0:4C:BC:BF:8B:D5:96

Curriculum Vitae

Erik Esche
Geboren 1987 in Berlin

2010 - B.Sc. in Energy- and Process Engineering (TU Berlin); 2011 - Master's Thesis at Carnegie Mellon University, Pittsburgh, PA with Lorenz T. Biegler; 2011 - M.Sc. in Energy- and Process Engineering (TU Berlin); 2015 - PhD (cum laude) in Process Engineering on "MINLP Optimization under Uncertainty of a Mini-plant for the Oxidative Coupling of Methane"; since:Habilitand & PostDoc at Process Dynamics and Operations Group of Prof. Repke

Research

Areas of Research:

  • Optimal operation of process plants
  • Hydroformyltion of long-chained olefines
  • Optimale synthesis of chemical processes under uncertainty
  • Chance Constraints (probabilistic contraints)

Research Projects:

Lupe
Lupe

Contact Person for Research Area: Methods for Process Design and Operations

Deputy Contact Person for Research Area: Model Development

Bachelor's and Master's Theses

 Topics on Offer:

  • Knowledge Graphs to Model Chemical Engineering Knowledge and Data
  • Semi-supervised Regression for Control of Dynamic Systems
  • Unscented Transformation for Solution of Joint Chance Constraints
  • Set-based Formulation of Models in Chemical Engineering Using MOSAICmodeling
  • Distributed Database Architectures for Model Development in MOSAICmodeling

Further topics on request.

Publications

B. Befort and K. Bishop and K.-V. Camarda and E. Esche and S. Fillinger and J.-U. Repke and G. Tolksdorf (2016). Visualization and Modeling of Chemical Processes Via Mosaic.


Christian Hoffmann and Markus Illner and David Müller and Erik Esche and Günter Wozny and Lorenz T. Biegler and Jens-Uwe Repke (2016). Moving-horizon State Estimation with Gross Error Detection for a Hydroformylation Mini-plant. Computer Aided Chemical Engineering. Elsevier, 1485–1490.


C. Hoffmann and E. Esche and J.-U. Repke (2019). Integration of Design and Control Based on Large-Scale Nlp Formulations and An Optimal Economic Nmpc. Computer Aided Chemical Engineering. Elsevier, 125–130.


Christian Hoffmann and Joris Weigert and Erik Esche and Jens-Uwe Repke (2019). Parameter estimation for thermodynamic models using an identifiability analysis and subset selection. Computer Aided Chemical Engineering. Elsevier, 583–588.


J. Weigert and E. Esche and C. Hoffmann and J.-U. Repke (2019). Generation of Data-Driven Models for Chance-Constrained Optimization. Computer Aided Chemical Engineering. Elsevier, 311–316.


Joris Weigert and Christian Hoffmann and Erik Esche and Jens-Uwe Repke (2020). Enabling Dynamic Real-Time Optimization under Uncertainty using Data-Driven Chance Constraints. Computer Aided Chemical Engineering. Elsevier, 1189–1194.


Markus Illner and Erik Esche and Jens-Uwe Repke (2018). Optimal Control of Surfactant containing Multiphase Systems textendash Challenges and Solution Strategies for a stable Mini-Plant Operation. 13th International Symposium on Process Systems Engineering (PSE 2018). Elsevier, 739–744.


D. Müller and M. Illner and A. Fleck and E. Esche and T. Barz and R. Schomäcker and G. Wozny (2014). ENABLING ONLINE-OPTIMIZATION FOR A MULTIPHASE SYSTEM IN A HYDROFORMYLATION MINI-PLANT.


D. Müller and E. Esche and T. Pogrzeba and T. Hamerla and T. Barz and R. Schomäcker and G. Wozny (2014). Hydroformylation of 1-dodecene in microemulsions: long-term mini-plant operation results. 20th Int. Conf. Process Eng. Chem. Plant Des., 15–23.


A

I.J. Canela-Sánchez and J. Delgado-Gonzaga and A. Huicochea and E. Esche and J.-U. Repke and R. Saravanan and D. Juarez-Romero (2018). Interaction analysis of a concentric component evaporator absorber for an absorption heat transformer. Applied Thermal Engineering. Elsevier BV, 415–421.


C

Licianne P.S. Rosa and Karen V. Pontes and Glória M.N. Costa and Alberto T. Penteado and Erik Esche and Jens-Uwe Repke (2020). An equation-oriented novel approach for modeling the falling film absorber using rigorous thermodynamic and transport description. Chemical Engineering Research and Design. Elsevier BV, 179–194.


Robert Wilhelm and Erik Esche and Zion Guetta and Johannes Menzel and Olaf von Morstein and Holger Thielert and Jens-Uwe Repke (2019). A Framework for the Experimental Characterisation of Novel Solvents in a Pilot-plant Scale CO2 Capture Process under Industrial Conditions Using a Data-driven Modelling Approach. Chemical Engineering Research and Design. Elsevier BV, 190–200.


Andreas Obermeier and Christoph Windmeier and Erik Esche and Jens-Uwe Repke (2019). A discrete-time scheduling model for power-intensive processes taking fatigue of equipment into consideration. Chemical Engineering Science. Elsevier BV, 904–920.


Erik Esche and David Müller and Robert Kraus and Günter Wozny (2014). Systematic approaches for model derivation for optimization purposes. Chemical Engineering Science. Elsevier BV, 215–224.


Christian Hoffmann and Joris Weigert and Erik Esche and Jens-Uwe Repke (2020). 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. Elsevier BV, 115358.


Contact Details

Dr.-Ing. Erik Esche
Technische Universität Berlin
Sekr. KWT-9 - Fachgebiet Dynamik und Betrieb technischer Anlagen
Str. des 17. Juni 135
D-10623 Berlin
Germany

Tel. +49 (0) 30 314 - 21 634
Fax. +49 (0) 30 314 - 26 915

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Office Hours:

Dr.-Ing. Erik Esche

All in-person office hours are postponed for now. Separate arrangements can be made by .

KWT-A 110