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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:

  • To be issued

Further topics on request:

Currently under Supervision:

    • Konwiarz, A.: Process scale investigation of electrochemical adiponitril synthesis
    • Pineda Portilla, R.: Code generation for sequential optimization in MOSAICmodeling

    Completed:

    • Brodowska, A.: Entwicklung eines Short-Cut-Modells zur Nachbildung rigoroser MEA-Absorptionsmodelle
    • Drescher, A.: Planung, Auslegung und Konstruktion von Anlagenkomponenten für die flexible CO2-Absorption in einer mobilen, modularen Pilotanlage
    • Kraemer, B.: Entwicklung einer robusten Prozessmesstechnik basierend auf der Raman-Spektroskopie zur Konzentrationsmessung in kohlenstoffdioxidbeladenen Aminlösungen
    • Bock, C.: Gemischtganzzahlig nichtlineare Optimierung eines Membran-Absorptionsnetzwerks
    • Hoffmann, C.: Real-time Optimization and Moving-horizon State Estimation for a Hydroformylation Plant
    • Ruppert, J.: Parameterschätzung dynamischer Prozessmodelle für Optimierung unter Unsicherheiten
    • Bremer, J.: Development of Parametric Reduced Order Models for a Membrane Reactor for the Oxidative Coupling of Methane
    • Riesenbeck, M.: Entwicklung eines zyklisch stationären Prozessmodells für eine kombinierte Temperatur- und Druckwechseladsorption
    • Birkholz, M.: Entwicklung und Implementierung eines Prozessführungsstrategie für die flexible CO2-Absorption in einer mobilen, modularen Pilotanlage
    • Nitzsche, P.: Experimentelle Bestimmung und Modellierung von Adsorptionsisothermen
    • Wendring, P.: Erweiterung der Energierückgewinnung im Zuge der wirtschaftlichen Verbesserung einer Metholanlage
    • Wilhelm, R.: Planung einer mobilen Miniplant zur CO2-Abscheidung aus Industriegasen
    • Karsten, T.: Implementierung einer Online-Messdatenvalidierung und einer modellprädikativen Regelung in einer Absorptionsanlage
    • Kracht, U.: Implementierung eines Gaspermeationsnetzwerks in der OCM-Miniplant
    • Czieslik, V.: Process Synthesis and Economic Analysis for the Separation of Carbon Dioxide from Industrial Exhaust Gas
    • Faxel, D.: Masterarbeit, Weiterentwicklung eines Solvers für Differentialalgebrasysteme mit Sensitivitätsgenerierung
    • Fürst, M.: Bachelorarbeit, Optimale Arbeitsplanung für eine halbautomatische Wachsspritzanlage
    • You, B.: Vergleich von Methoden zur Optimierung unter Unsicherheiten
    • Schmitt, J.: Messdatenvalidierung für eine Ammoniumbicarbonat-Versuchsanlage
    • Sarun, P.: Modularisierung von 2D-Reaktormodellen
    • Amoroso, F.: Dynamische Modellierung und Simulation für ein Operator-Traning-System (gemeinsam betreut mit Flavio Manenti)
    • Alert, C.: Parameterschätzung für 2D-Reaktormodelle
    • Riechmann, P.: Untersuchung des Einflusses der Metallmasse einer Packungskolonne auf die Dynamik des Rektifikationssystems einer Luftzerlegungsanlage

     

     

    Publications

    vor >> [19]

    2020

    Bartolomeus Häussling Löwgren and Joris Weigert and Erik Esche and Jens-Uwe Repke (2020). Uncertainty Analysis for Data-Driven Chance-Constrained Optimization [23]. Sustainability. MDPI AG, 2450.


    L.P.S. Rosa and K.V. Pontes and G.M.N. Costa and A.T. Penteado and E. Esche and J.-U. Repke (2020). An equation-oriented novel approach for modelling the falling film absorber using rigorous thermodynamic and transport description [24]. Chemical Engineering Research and Design, 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 [25]. Chemical Engineering Science. Elsevier BV, 115358.


    2019

    S. Fillinger and E. Esche and G.Tolksdorf and W. Welscher and G. Wozny and J.-U. Repke (2019). Data Exchange for Process Engineering - Challenges and Opportunities [26]. Chemie Ingenieur Technik, 256–267.


    R. Wilhelm and E. Esche and Z. Guetta and J. Menzel and O. v. Morstein and H. Thielert and J.-U. 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 [27]. Chemical Engineering Research and Design, 190–200.


    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 [28]. 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 [29]. Computer Aided Chemical Engineering. Elsevier, 583–588.


    Thomas Budiarto and Joris Weigert and Christian Hoffmann and Erik Esche and Jens-Uwe Repke (2019). Evaluation of discretization methods for modeling the chloralkali membrane process [30]. Computer Aided Chemical Engineering. Elsevier, 589–594.


    J. Weigert and E. Esche and C. Hoffmann and J.-U. Repke (2019). Generation of data-driven models for chance-constrained optimization [31]. Computer Aided Chemical Engineering. Elsevier, 311–316.


    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 [32]. Computer Aided Chemical Engineering. Elsevier, 577–582.


    L. García and Y.-A. Poveda and G. Rodríguez and E. Esche and H.-R. Godini and G. Wozny and J.-U. Repke and Á. Orjuela (2019). Adsorption separation of oxidative coupling of methane effluent gases. Mini-plant scale experiments and modeling [33]. Journal of Natural Gas Science and Engineering, 106 - 118.


    Grego Tolksdorf and Erik Esche and Günter Wozny and Jens-Uwe Repke (2019). Customized code generation based on user specifications for simulation and optimization [34]. Computers & Chemical Engineering, 670 - 684.


    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 [35]. Chemical Engineering Science, 904–920.


    2018

    I.-J. Canela-Sanchez 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 [36]. Applied Thermal Engineering, 415 - 421.


    M. Illner and M. Schmidt and T. Pogrzeba and C. Urban and E. Esche and R. Schomäcker and J.-U. Repke (2018). Palladium-Catalyzed Methoxycarbonylation of 1-Dodecene in a Two-Phase System: The Path toward a Continuous Process [37]. Industrial & Engineering Chemistry Research, null.


    vor >> [42]

    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 [43]

    Office Hours:

    Dr.-Ing. Erik Esche

    All in-person office hours are postponed for now. Separate arrangements can be made by email [44].

    KWT-A 110

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