TU Berlin

Dynamik & Betrieb techn. AnlagenDr.-Ing. Erik Esche

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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

2021

Joris Weigert and Christian Hoffmann and Erik Esche and Peter Fischer and Jens-Uwe Repke (2021). Towards demand-side management of the chlor-alkali electrolysis: Dynamic modeling and model validation. Computers & Chemical Engineering. Elsevier BV, 107287.


Andreas Obermeier and Nikolaus Vollmer and Christoph Windmeier and Erik Esche and Jens-Uwe Repke (2021). Generation of linear-based surrogate models from non-linear functional relationships for use in scheduling formulation. Computers & Chemical Engineering. Elsevier BV, 107203.


2020

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.


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.


A. Perez Ortiz and A. Penteado and L. Thum and T. Karsten and E. Esche and V. Grigull and R. Schomäcker and J.-U. Repke (2020). Influence of process parameters on oxidative coupling of methane for ethylene production from biogas. Chemie Ingenieur Technik. Wiley, 1348–1348.


M. Illner and V. Kozachynskyi and A. Weber and E. Esche and R. Schomäcker and J.-U. Repke (2020). A direct route for the realization of novel microemulsion systems for the reductive amination of long-chained substrates. Chemie Ingenieur Technik. Wiley, 1300–1301.


V. Kozachynskyi and M. Illner and E. Esche and J.hspace0.167emU. Repke (2020). Online model-based optimal experimental design: Implementation on a miniplant model for a reaction in a microemulsion. Chemie Ingenieur Technik. Wiley, 1247–1247.


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.


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.


Bartolomeus Häussling Löwgren and Joris Weigert and Erik Esche and Jens-Uwe Repke (2020). Uncertainty Analysis for Data-Driven Chance-Constrained Optimization. Sustainability. MDPI AG, 2450.


Alberto T. Penteado and Erik Esche and Joris Weigert and Jens-Uwe Repke (2020). A Framework for Stochastic and Surrogate-Assisted Optimization using Sequential Modular Process Simulators. Computer Aided Chemical Engineering. Elsevier, 1903–1908.


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.


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.


2019

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.


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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