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TU Berlin

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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

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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

E

Erike Esche and David Müller and Sebastian Werk and Ignacio E. Grossmann and Günter Wozny (2016). Solution of Chance-Constrained Mixed-Integer Nonlinear Programming Problems. Computer Aided Chemical Engineering. Elsevier, 91–96.


Erik Esche and Christian Hoffmann and Markus Illner and David Müller and Sandra Fillinger and Gregor Tolksdorf and Henning Bonart and Günter Wozny and Jens-Uwe Repke (2017). MOSAIC - Enabling Large-Scale Equation-Based Flow Sheet Optimization. Chemie Ingenieur Technik. Wiley, 620–635.


Erik Esche and Joris Weigert and Thomas Budiarto and Christian Hoffmann and Jens-Uwe Repke (2019). Optimization under uncertainty based on a data-driven model for a chloralkali electrolyzer cell. Computer Aided Chemical Engineering. Elsevier, 577–582.


Erik Esche and Jens-Uwe Repke (2020). Dynamic Process Operation Under Demand Response textendash A Review of Methods and Tools. Chemie Ingenieur Technik. Wiley, 1898–1909.



F

Sandra Fillinger and Erik Esche and Gregor Tolksdorf and Wolfgang Welscher and Günter Wozny and Jens-Uwe Repke (2019). Data Exchange for Process Engineering - Challenges and Opportunities. Chemie Ingenieur Technik. Wiley, 256–267.


G

Leonel Garc'ia and Yuly A. Poveda and Gerardo Rodr'iguez and Erik Esche and Hamid Reza Godini and Günter Wozny and Jens-Uwe Repke and Álvaro Orjuela (2019). Adsorption separation of oxidative coupling of methane effluent gases. Mini-plant scale experiments and modeling. Journal of Natural Gas Science and Engineering. Elsevier BV, 106–118.


H.-R. Godini and D. Salerno and M. Khadivi and H. Dousti and S.-M. Jazayeri and O. Görke and L. Thum and A. Penteado and E. Esche and R. Schomäcker and F. Rosowski and A. Gurlo and J.-U. Repke and G. Wozny (2016). Techno-economic Analysis of Individual and Integrated Oxidative Coupling of Methane Processes.


H

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 J. Weigert and T. Budiarto and E. Esche and J.-U. Repke (2018). Demand-Response-Potenziale elektrochemischer Verfahren am Beispiel der Chlor-Alkali-Elektrolyse. Chemie Ingenieur Technik. Wiley, 1166–1166.


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.


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.


Christian Hoffmann and Joris Weigert and Erik Esche and Jens-Uwe Repke (2020). A pressure-driven, dynamic model for distillation columns with smooth reformulations for flexible operation. Computers & Chemical Engineering. Elsevier BV, 107062.


Christian Hoffmann and Joris Weigert and Erik Esche and Jens-Uwe Repke (2020). Integration of Design and Operation Using Dynamic Perturbation and Chance Constraints with Unscented Transform. Computer Aided Chemical Engineering. Elsevier, 751–756.


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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Dr.-Ing. Erik Esche

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

KWT-A 110