| 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 | 32 | 2020 |
| 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 | 24 | 2017 |
| 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 | 21 | 2020 |
| 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 | 18 | 2021 |
| 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 | 16 | 2022 |
| 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 | 15 | 2021 |
| 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 | 11 | 2023 |
| 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 | 10 | 2020 |
| 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 | 7 | 2020 |
| 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 | 6 | 2019 |
| 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 | 5 | 2020 |
| 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 | 5 | 2019 |
| 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 | 5 | 2016 |
| 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 | 4 | 2022 |
| 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 | 3 | 2019 |
| 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 | 2 | 2019 |
| 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 | 1 | 2022 |
| 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 | 1 | 2019 |
| 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 |
Jens-Uwe RepkeTU Berlin在 TU-Berlin.de 的电子邮件经过验证
