9/20/2016
At this year´s ProcessNET, DECHEMA´s annual meeting for process engineering and bioprocessing, INOSIM has contributed twice. Torsten Hellenkamp gave lectures on the subjects
  • Simulation-based strategic decision support in uncertain supply chain systems
  • The TOP-REF approach for identification of critical process parameters for process monitoring and optimization

In the first lecture, Torsten Hellenkamp reported on the application of digital tools (e. g., INOSIM Expert Edition) in process engineering. One major benefit of this approach is to overcome the lack of handling and evaluation of complex dynamic systems. Especially, if those systems are subject to uncertainties and unpredictable influences a manual approach is neither productive nor reasonably applicable. Therefore, dedicated and established software tools should be used to manage the complexity and accelerate the engineering process

In his second lecture, Torsten summed up the actual state of the TOP-REF project. It aims to develop and validate specific indicators, methodologies and non-invasive tools devoted to the improvement of resource efficiency in energy intensive continuous industrial processes in the non-ferrous, chemical and petrochemical sectors. These methodologies and tools will constitute targets like the reduction of primary raw material intensity and fossil energy intensity, reduced production costs, or a significant reduction of the environmental impacts of batch processing production in the future.

ProcessNet is the German platform for process engineering, chemical engineering and technical chemistry. More than 5.000 visitors from science, economy, and administration will meet in Aachen to exchange expert knowledge, discuss current issues and identify new trends in science. Both INOSIM events had about 100 visitors. After the lectures, a lively discussion developed all around the topics presented by Torsten Hellenkamp.

Download: Script - Simulation-based strategic decision support in uncertain supply chain systems (pdf, 100 kb)
Download: Script - The TOP-REF approach for identification of critical process parameters for process monitoring and optimization (pdf, 103 kb)

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