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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

Analysis and Decomposition for Improved Convergence of Nonlinear Process Models in Chemical Engineering
Zitatschlüssel Bublitz2017
Autor Saskia Bublitz and Erik Esche and Gregor Tolksdorf and Volker Mehrmann and Jens-Uwe Repke
Seiten 1503–1514
Jahr 2017
DOI 10.1002/cite.201700041
Journal Chemie Ingenieur Technik
Jahrgang 89
Nummer 11
Monat oct
Verlag Wiley
Zusammenfassung Abstract Solving nonlinear equation systems as they occur in process simulation simultaneously, often fails due to ill?conditioned models or bad initialization. To counteract these issues two methods have been implemented in the web?based platform MOSAICmodeling. The Dulmage?Mendelsohn algorithm forms a block diagonal Jacobian matrix. In addition, the bordered block transformation identifies variables that need to be carefully initialized due to their great influence on the system. Both methods are applied on two process models and their convergence and sensitivity towards initialization is analyzed.
Link zur Publikation Download Bibtex Eintrag

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