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Christian Hoffmann
Christian Hoffmann
Process Dynamics and Operations Group, Technische Universität Berlin
在 tu-berlin.de 的电子邮件经过验证 - 首页
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Towards demand-side management of the chlor-alkali electrolysis: Dynamic, pressure-driven modeling and model validation of the 1, 2-dichloroethane synthesis
C Hoffmann, J Weigert, E Esche, JU Repke
Chemical Engineering Science 214, 115358, 2020
322020
MOSAIC–Enabling Large‐Scale Equation‐Based Flow Sheet Optimization
E Esche, C Hoffmann, M Illner, D Müller, S Fillinger, G Tolksdorf, H Bonart, ...
Chemie Ingenieur Technik 89 (5), 620-635, 2017
242017
Impact of the chlorine value chain on the demand response potential of the chloralkali process
F Klaucke, C Hoffmann, M Hofmann, G Tsatsaronis
Applied Energy 276, 115366, 2020
212020
Towards demand-side management of the chlor-alkali electrolysis: dynamic modeling and model validation
J Weigert, C Hoffmann, E Esche, P Fischer, JU Repke
Computers & Chemical Engineering 149, 107287, 2021
182021
Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes
E Esche, T Talis, J Weigert, GB Rihm, B You, C Hoffmann, JU Repke
Chemical Engineering Science, 117459, 2022
162022
Assessing the Realizable Flexibility Potential of Electrochemical Processes
C Hoffmann, J Hübner, F Klaucke, N Milojević, R Müller, M Neumann, ...
Industrial & Engineering Chemistry Research 60 (37), 13389-13748, 2021
152021
Techno-economic and exergy analysis of e-methanol production under fixed operating conditions in Germany
Y Rahmat, S Maier, F Moser, M Raab, C Hoffmann, JU Repke, ...
Applied Energy 351, 121738, 2023
112023
A pressure-driven, dynamic model for distillation columns with smooth reformulations for flexible operation
C Hoffmann, J Weigert, E Esche, JU Repke
Computers & Chemical Engineering 142, 107062, 2020
102020
Integration of Design and Operation Using Dynamic Perturbation and Chance Constraints with Unscented Transform
C Hoffmann, J Weigert, E Esche, JU Repke
Computer Aided Chemical Engineering 48, 751-756, 2020
72020
Generation of Data-Driven Models for Chance-Constrained Optimization
J Weigert, E Esche, C Hoffmann, JU Repke
Computer Aided Chemical Engineering 47, 311-316, 2019
62019
Enabling Dynamic Real-Time Optimization under Uncertainty using Data-Driven Chance Constraints
J Weigert, C Hoffmann, E Esche, JU Repke
Computer Aided Chemical Engineering 48, 1189-1194, 2020
52020
Integration of Design and Control Based on Large-Scale Nlp Formulations and An Optimal Economic Nmpc
C Hoffmann, E Esche, JU Repke
Computer Aided Chemical Engineering 47, 125-130, 2019
52019
Moving-horizon State Estimation with Gross Error Detection for a Hydroformylation Mini-plant
C Hoffmann, M Illner, D Müller, E Esche, G Wozny, LT Biegler, JU Repke
Computer Aided Chemical Engineering 38, 1485-1490, 2016
52016
Insights into Dynamic Process Intensification for Reactive Distillation Columns
I Bogatykh, C Hoffmann, V Kozachynskyi, M Illner, T Osterland, T Wilharm, ...
Chemical Engineering and Processing-Process Intensification 177, 108978, 2022
42022
Optimization Under Uncertainty Based on a Data-driven Model for a Chloralkali Electrolyzer Cell
E Esche, J Weigert, T Budiarto, C Hoffmann, JU Repke
Computer Aided Chemical Engineering 46, 577-582, 2019
32019
Evaluation of Discretization Methods for Modeling the Chloralkali Membrane Process
T Budiarto, J Weigert, C Hoffmann, E Esche, JU Repke
Computer Aided Chemical Engineering 46, 589-594, 2019
22019
Semi‐Empirical and Data‐Driven Modeling of Two‐Phase Flow in Capillary Tubes
J Deichl, J Weigert, C Hoffmann, JU Repke, T Grunert
Chemie Ingenieur Technik 94 (9), 1216-1216, 2022
12022
Parameter Estimation for Thermodynamic Models Using an Identifiability Analysis and Subset Selection
C Hoffmann, J Weigert, E Esche, JU Repke
Computer Aided Chemical Engineering 46, 583-588, 2019
12019
On the Inability of Weeping Correlations to Predict the Behavior at Zero Liquid Load: New Experimental Data for Trays, Correlation Development, and Dynamic Weeping
H Raddant, P Polgár, M Illner, C Hoffmann, V Fath, P Hamberger, ...
2024 Spring Meeting & 20th Global Congress on Process Safety, 2024
2024
A framework for the integration of design and operation under uncertainty using dynamic perturbation and chance constraints
C Hoffmann
Technische Universität Berlin, 2023
2023
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