Dr. Erik Esche
Sekretariat | KWT 9 |
---|---|
Gebäude | KWT-A |
Raum | KWT-A 108 |
Sprechstunde | donnerstags, 8-10 Uhr, online - Link auf Nachfrage |
Forschung
Nach meiner Promotion zur gemischtganzzahligen Optimierung unter Unsicherheiten habe ich meinen Schwerpunkt stärker auf die Dynamik ausgerichtet. Hierbei interessiert mich der gesamte Bereich von der dynamischen Modellierung über die Quantifizierung von Unsicherheiten bis hin zur realen Echtzeitanwendung an verfahrenstechnischen Anlagen.
Weitere Forschungsinteressen:
Optimaler und optimierender Betrieb verfahrenstechnischer Anlagen
Entwicklung und Anwendung von Methoden der Versuchsplanung und Paramterschätzung
Zustandsschätzung in Systemen mit stark verschiedenen Messfrequenzen
Modellierungsstrategien für die dynamische Optimierung
Optimierung unter Unsicherheiten mit Hilfe von Wahrscheinlichkeitsrestriktionen
Optimale Synthese verfahrenstechnischer Anlagen, auch unter Berücksichtigung von Dynamik
Einsatz von Methoden des maschinellen Lernens in der Verfahrenstechnik
Datenmodelle zur Verknüpfung verfahrenstechnischer Informationen
Verantwortlich für das Forschungscluster MPDO sowie stellvertretend für MD
Forschungsprojekte
BG2OCM
SPP Einzelprojekt KMEB
Publikationen
2024
Automatic initial value generation procedure for nonlinear process models by interval arithmetic based cutting and splitting
Computers & Chemical Engineering, 185 :108672
2024
ISSN: 0098-1354
2023
Enhanced automatic initialization method for solving large nonlinear algebraic systems
In Kokossis, Antonios C. and Georgiadis, Michael C. and Pistikopoulos, Efstratios N., Editor, 33th European Symposium on Computer Aided Process Engineering Band 52 aus Computer-aided chemical engineering
Seite 119–125
Herausgeber: Elsevier, Amsterdam, Netherlands and Cambridge, MA
2023
119–125
- ISBN
- 9780443152757
Reinforcement learning combined with model predictive control to optimally operate a flash separation unit
In Kokossis, Antonios C. and Georgiadis, Michael C. and Pistikopoulos, Efstratios N., Editor, 33th European Symposium on Computer Aided Process Engineering aus Computer-aided chemical engineering
Seite 595–600
Herausgeber: Elsevier, Amsterdam, Netherlands and Cambridge, MA
2023
595–600
- ISBN
- 9780443152757
Adaptation of Dynamic Data–Driven Models for Real–Time Applications: From Simulated to Real Batch Distillation Trajectories by Transfer Learning
Chemie Ingenieur Technik, 95 (7) :1125–1133
2023
ISSN: 0009-286X
2022
Integration of design and operation for the CO2-based methanol synthesis
In Yamashita, Yoshiyuki and Kano, Manabu, Editor, 14th International Symposium on Process Systems Engineering (PSE 2021+) Band 49 aus Computer-aided chemical engineering
Seite 721–726
Herausgeber: Elsevier, Amsterdam, Netherlands and Cambridge, MA
2022
721–726
- ISBN
- 978-0-323-85159-6
Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes
Chemical Engineering Science, 251 :117459
2022
ISSN: 0009-2509
Real-time optimal operation of a chlor-alkali electrolysis process under demand response
In Yamashita, Yoshiyuki and Kano, Manabu, Editor, 14th International Symposium on Process Systems Engineering (PSE 2021+) Band 49 aus Computer-aided chemical engineering
Seite 397–402
Herausgeber: Elsevier, Amsterdam, Netherlands and Cambridge, MA
2022
397–402
- ISBN
- 978-0-323-85159-6
Optimal aeration of wastewater treatment plants based on recurrent neural networks and real plant data
In Montastruc, Ludovic and Negny, Stephane, Editor, 32th European Symposium on Computer Aided Process Engineering Band 51 aus Computer-aided chemical engineering
Seite 1489–1494
Herausgeber: Elsevier, Amsterdam, Netherlands and Cambridge, MA
2022
1489–1494
- ISBN
- 978-0-323-95879-0
Intensification of CO2 capture from methane-rich streams using a rotating packed bed absorption column
In Kooijman, Harry and Meyer, Michel and Repke, Jens-Uwe, Editor, 12th International Conference on Distillation & Absorption, Seite 1234
In Kooijman, Harry and Meyer, Michel and Repke, Jens-Uwe, Editor
2022
Film breakdown onset Reynolds number of an absorption heat transformer with falling film heat exchangers: Modeling and estimation
Applied Thermal Engineering, 215 :118914
2022
ISSN: 1359-4311
Fast-track realization of reactive microemulsion systems – Systematic system analysis and tailored application of PSE methods
Chemical Engineering Science, 252 :117290
2022
ISSN: 0009-2509
Enabling optimization of complex distillation configurations in GAMS with CAPE-OPEN thermodynamic models
Computers & Chemical Engineering, 157 :107626
2022
ISSN: 0098-1354
Data-driven modelling of full batch distillation cycles based on recurrent neuronal networks
In Montastruc, Ludovic and Negny, Stephane, Editor, 32th European Symposium on Computer Aided Process Engineering Band 51 aus Computer-aided chemical engineering
Seite 385–390
Herausgeber: Elsevier, Amsterdam, Netherlands and Cambridge, MA
2022
385–390
- ISBN
- 978-0-323-95879-0
D-RTO as enabler for green chemical processes - systematic application and challenges in reactive liquid multiphase systems
In Yamashita, Yoshiyuki and Kano, Manabu, Editor, 14th International Symposium on Process Systems Engineering (PSE 2021+) aus Computer-aided chemical engineering
Seite 433–438
Herausgeber: Elsevier, Amsterdam, Netherlands and Cambridge, MA
2022
433–438
- ISBN
- 978-0-323-85159-6
Autothermal Oxidative Coupling of Methane: Steady–State Multiplicity over Mn–Na 2 WO 4 /SiO 2 at Mini–Plant Scale
Chemie Ingenieur Technik, 94 (5) :791–795
2022
ISSN: 0009-286X
Architectures for neural networks as surrogates for dynamic systems in chemical engineering
Chemical Engineering Research and Design, 177 :184–199
2022
ISSN: 0263-8762
2021
Joint Chance Constraint Approach based on Data-Driven Models for Optimization Under Uncertainty applied to the Williams-Otto Process
In Türkay, Metin and Gani, Rafiqul, Editor, 31th European Symposium on Computer Aided Process Engineering aus Computer Aided Chemical Engineering
Seite 523–528
Herausgeber: Elsevier
2021
523–528
- ISBN
- 978-0-323-88506-5
Towards demand-side management of the chlor-alkali electrolysis: Dynamic modeling and model validation
Computers & Chemical Engineering, 149 :107287
2021
ISSN: 0098-1354
Sampling Space Reduction for Data-driven Modelling of Batch Distillation - Introducing Expert Process Knowledge through Operation Recipes
In Türkay, Metin and Gani, Rafiqul, Editor, 31th European Symposium on Computer Aided Process Engineering aus Computer Aided Chemical Engineering
Seite 611–616
Herausgeber: Elsevier
2021
611–616
- ISBN
- 978-0-323-88506-5
Machine Learning in Chemical Engineering: A Perspective
Chemie Ingenieur Technik, 93 (12) :2029–2039
2021
ISSN: 0009-286X
Adaptive Sampling of Dynamic Systems for Generation of Fast and Accurate Surrogate Models
Chemie Ingenieur Technik
2021
ISSN: 0009-286X
Generation of linear-based surrogate models from non-linear functional relationships for use in scheduling formulation
Computers & Chemical Engineering, 146 :107203
2021
ISSN: 0098-1354
Embedding of temperature-dependent plant model into time-discrete scheduling formulation
Chemical Engineering Science, 235 :116444
2021
ISSN: 0009-2509
Economic Potential of Bio-Ethylene Production via Oxidative Coupling of Methane in Biogas from Anaerobic Digestion of Industrial Effluents
Processes, 9 (9) :1613
2021
Automatic initial value generation with interval arithmetic for nonlinear process models
Computers & Chemical Engineering, 151 :107342
2021
ISSN: 0098-1354