A5079868186- Advanced Control Systems Optimization
- Process Optimization and Integration
- Carbon Dioxide Capture Technologies
- Fault Detection and Control Systems
- Catalysis and Oxidation Reactions
- Catalysts for Methane Reforming
- Catalytic Processes in Materials Science
- Phase Equilibria and Thermodynamics
- Advanced Multi-Objective Optimization Algorithms
- Membrane Separation and Gas Transport
- Control Systems and Identification
- Fuel Cells and Related Materials
- Reservoir Engineering and Simulation Methods
- Probabilistic and Robust Engineering Design
- Simulation Techniques and Applications
- Advanced Polymer Synthesis and Characterization
- Manufacturing Process and Optimization
- Modeling and Simulation Systems
- Chemistry and Chemical Engineering
- Analytical Chemistry and Chromatography
- Advanced Battery Technologies Research
- Innovative Microfluidic and Catalytic Techniques Innovation
- Flexible and Reconfigurable Manufacturing Systems
- Numerical Methods and Algorithms
- Spectroscopy and Chemometric Analyses
Technische Universität Berlin
2015-2024
HTW Berlin - University of Applied Sciences
2023
Software (Spain)
2017-2021
Laboratoire de Chimie Moléculaire et Thioorganique
2017
Verband der Chemischen Industrie
2017
Virtuelle Fabrik (Switzerland)
2017
Fraunhofer Institute for Production Systems and Design Technology
2012-2016
Abstract The transformation of the chemical industry to renewable energy and feedstock supply requires new paradigms for design flexible plants, (bio‐)catalysts, functional materials. Recent breakthroughs in machine learning (ML) provide unique opportunities, but only joint interdisciplinary research between ML engineering (CE) communities will unfold full potential. We identify six challenges that open methods CE formulate types problems ML: (1) optimal decision making, (2) introducing...
Model-based optimal experimental design (OED) is a well known tool for efficient model development. However, it not used very often. A few reasons that are: lack of understanding on how to work with complex OED methods and small amount ready-to-use tools available directly apply methods. In the presented contribution sampling strategies are categorize formulations as nonlinear programs. Different their combination analyzed based performance robustness. Depending availability measurements,...
We propose a general methodology of sequential locally optimal design experiments for explicit or implicit nonlinear models, as they abound in chemical engineering and, particular, vapor-liquid equilibrium modeling. As method, our method iteratively alternates between performing experiments, updating parameter estimates, and computing new experiments. Specifically, computes whole batch each iteration this is designed two-stage manner. In essence, means that every the combined information...
We investigate aqueous multiphase systems for catalytic gas/liquid reactions, namely, the rhodium-catalyzed hydroformylation of long-chain olefin 1-dodecene. The system was formulated from 1-dodecene, water, and a nonionic surfactant, which increases solubility between two nonmiscible liquid phases. On basis these systems, we present in this paper transfer lab experiments (semibatch) to successful operation miniplant continuous mode. Under optimized conditions, reaction showed turnover...
The implementation of the hydroformylation reaction for conversion long-chain alkenes into aldehydes still remains challenging on an industrial scale. One possible approach to overcoming this challenge is apply tunable systems employing surfactants. Therefore, a novel process concept in microemulsions being investigated and developed at Technische Universität Berlin, Germany. To test applicability larger scale, miniplant has been constructed operated. This contribution presents proof carried...
Abstract Dedicated software exists for both process simulation and optimization. Given the advantages of simultaneous optimization schemes, engineers are frequently tasked with reimplementing their models in languages or environments. In this contribution, a workflow is introduced to model chemical engineering MathML have an automatic code generation specialized tools. Two examples given highlight performance implemented modeling, simulation, environment MOSAIC.
Demand response is a viable concept to deal with and benefit from fluctuating electricity prices of growing interest the electrochemical industry. To assess flexibility potential such processes, generic, interdisciplinary methodology required. We propose methodology, in which fundamentals theoretical are determined first by analyzing strengths, weaknesses, opportunities, threats. Afterward, experiments conducted determine selectivity yield under varying loads additional long-term costs...
The oxidative coupling of methane (OCM) is a direct path for converting into ethene (ethylene), which one the most important building blocks chemical industry. Carbon dioxide generated as byproduct in reactor and must be separated order to produce pure olefin. This step commonly achieved by amine scrubbing, significant amount energy consumed regenerating amine. In this contribution, hybrid system employing gas separation membranes absorption modeled simulated carry out preliminary...
This work presents a detailed description of the synthesis 5A zeolite and its further granulation into molecular sieve beads. The XRD spectrum synthesized crystals showed characteristic peaks type A sodium zeolite, XRF results ion-exchanged material with calcium chloride solution allowed us to verify formation structure. analysis SEM images indicated that granulated process generated core–shell structure suitable mechanical properties for industrial use. exhibited similar (roundness, 96%;...
Abstract Ein auf erneuerbare Energiequellen ausgerichtetes Versorgungssystem benötigt ein hohes Maß an Flexibilität, um Systemstabilität zu sichern. Lastmanagement kann einen großen Beitrag leisten und die chemische Industrie als einer der größten Verbraucher elektrischer Energie dabei eine wichtige Rolle spielen. Die Analyse bisher hierzu durchgeführten Studien zeigt große Potenziale für den Chlor‐Alkali‐Prozess Luftverflüssigung. variablen Kosten sind mit anderen Flexibilisierungsoptionen...
Abstract In the absence of knowledge about challenging dynamic phenomena involved in batch distillation processes, e.g., complex flow regimes or appearing and vanishing phases, generation accurate mechanistic models is limited. Real plant data containing this missing information scarce, also limiting use data‐driven models. To exploit contained measurement a related but inaccurate first‐principles model, transfer learning from simulated to real analyzed. For case column, adapted model...
The handling of multiphase systems applied in mixer–settler processes, which phase separation characteristics are exploited, is to date still a challenge for the chemical industry. Approaches analyzing influencing parameters on these can be use, especially regarding equipment design and technical applicability. In this contribution, guideline presented case study surfactant-containing system implemented hydroformylation mini-plant. Herein, most relevant investigated such as temperature,...
Chloralkali is one of the most important and energy intensive processes in chemical industry. The process produces chlorine through electrochemical conversion. process's consumption a major production cost for chloralkali Since demand efficiency environmentally friendly industry increases, ion exchange membranes are used intensively process. One prospective sources this renewable energy, which shows strong fluctuations highly unpredictable behavior. Dynamic behavior becomes to measure...