Research Cluster 9

Process Monitoring for Assessment of Operating Performance in Complex Systems

Research Cluster 9 is supervised by Prof. Dr.-Ing. Günter Wozny, head of the Department of Process Dynamics and Operations. The aim of this cluster is to design prototypes which serve as support tools for the analysis and evaluation of complex and dynamic processes in the chemical industry.

Current members:

Former members:

  • Dr.-Ing. Udo Schubert: Prospective Design of Key Performance Indicators for Process Control
  • Dipl.-Ing. Bram Satriadarma: Visualization of optimization-based process data under consideration of multicreiterial objectives
  • Dr.-Ing. Tilman Barz: Visualization of Model-Based Process Data in the Chemical Engineering Control Room - An Approach for User-Centered Design of next higher Process-Control-Systems
  • Dr.-Ing. Jörg Huss: Development of a Prototypical Trend Based Database-Search-Engine

Development of an Assistance System for integration and optimization of controllers in the process industry

Dipl.-Ing. Nataliya Baran

1. Betreuer: Prof. Dr.-Ing. Günter Wozny
2. Betreuer: Prof. Dr. phil. Dietrich Manzey

A common problem that we have in the industry is that many controllers are not tuned well. A possible reason for this is that engineers don't have enough support for system identification and controller tuning. Therefore, the main goal of this Ph.D. thesis is to develop a method that supports engineers in system identification and optimization of controller quality. Due to the fact that the developed strategy is based on complex numeric algorithms, the design of the user interface is also challenging.

More detailed information

Usage of key performance indicators to incude uncertain parameters in process monitoring and control

Dipl.-Ing. Sebastian Werk

1. Betreuer: Prof. Dr.-Ing. Günter Wozny
2. Betreuer: Prof. Dr. phil. Dietrich Manzey

The prediction of dynamic processes is often not transparent, even for experienced operators, especially if uncertain parameters have a significant impact on the process. To increase the operators performance, key performance indicators based on Chance-Constrained-Optimization techniques are developed within this Ph.D. thesis. Core concepts were presented at the offsite meeting 2012 and part of an article for the ESCAPE 22.

Supervised student theses

current theses

Finished theses

Druckregelung an einer Destillationskolonne unter Berücksichtigung von Beschränkungen - Erster Ansatz (Diplomarbeit)
cand.-ing. Lukasz Firek
Dipl.-Ing. Bram Satriadarma , Prof. Dr.-Ing. Günter Wozny | FSP 9

Modell-basierte Druckregelung an einer Destillationskolonne (Studienarbeit)
cand.-ing. Roland
Dipl.-Ing. Tilman Barz , Dipl.-Ing. Bram Satriadarma, Prof. Dr.-Ing. Günter Wozny | FSP 9

Predictive Functional Control an einer Destillationskolonne
cand.-ing. Bram Satriadarma
Dipl.-Ing. Tilman Barz, Prof. Dr.-Ing. Günter Wozny | FSP 9

Modelling of a Distillation Column for the separation of an Homogeneous Azeotropic Mixture
cand.-ing. Daniel Gorne-Zoppi
Dipl.-Ing. Tilman Barz, Prof. Dr.-Ing. Günter Wozny | FSP 9

Theoretical & experimental studies on a high pressure column for the separation of an azeotropic mixture
cand.-ing. Shivom Sharma
Dipl.-Ing. Tilman Barz, Prof. Dr.-Ing. Günter Wozny | FSP 9

Analytical and experimental studies on column pressure control Piotr Sygnarowicz
Dipl.-Ing. Tilman Barz, Prof. Dr.-Ing. Günter Wozny | FSP 9

Entwicklung eines effizienten Algorithmus für die Suche nach nutzerdefinierten Prozesszuständen in der chemischen Industrie {$ext.ml_links.fileSymbol} (51 KB)
cand.-ing. Oliver Frey
Dipl.-Ing. Tilman Barz, Dipl.-Psych. Jörg Huss, Prof. Dr. Frank-Lothar Krause und Dr.-Ing. Leon Urbas | FSP 9