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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

erik.esche@tu-berlin.de [1]

S/MIME (X509v3): CA der TU Berlin [2]

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

Full CV: Dr.-Ing. Erik Esche [3]

  • Research
  • Teaching
  • Bachelor's and Master's Theses
  • Publications
  • Contact Details

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:

  • Special Research Center / Transregio 63 InPROMPT - Subproject D4
    [4]
  • ChemEFlex [5]
  • MOSAICmodeling [6] - The Modeling Environment
Lupe [7]
Lupe [8]

Contact Person for Research Area: Methods for Process Design and Operations [9]

Deputy Contact Person for Research Area: Model Development [10]

Teaching

Classes:

  • Optimization in Process Science [11]
  • Process Simulation [12]
  • Labor PAD [13]
  • Praktikum TGO [14]

Bachelor's and Master's Theses

 Topics on Offer:

  • Knowledge Graphs to Model Chemical Engineering Knowledge and Data [15]
  • 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

vor >> [20]

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 [24]. 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 [25]. 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 [26]. 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 [27]. 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 [28]. 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 [29]. 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 [30]. 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 [31]. 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 [32]. 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 [33]. 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 [34]. 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 [35]. 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 [36]. 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 [37]. 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 [38]. Chemical Engineering Science. Elsevier BV, 904–920.


vor >> [43]

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
E-Mail-Anfrage [44]

Office Hours:

Dr.-Ing. Erik Esche

All in-person office hours are postponed for now. Separate arrangements can be made by email [45].

KWT-A 110

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