Topics
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Data analysis
- Properly recording and exploiting process measurements should be adressed systematically. Developments in the area of process data analysis support PIMS configuration, pattern matching, or model development from process data.
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Knowledge based pre-processing of process data
- This research project aims at a dramatic reduction of the effort for the pre-processing of process data. To this end, knowledge-based methodology for efficient pre-processing is developed.
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Model management
- A large number of mathematical models for chemical processes are developed in large companies. Systematic maintenance of models in a structured library permits potential reuse and consistent models.
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Process synthesis
- Support in the area of process synthesis is provided for elementary tasks such as azeotrope determination or residue curve map generation up to complex tasks such as flowsheet level optimization of separation systems.
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Spectral modeling
- Standard procedures for identifying concentrations from spectral measurements work well for mixtures with linear behavior. When non-linear effects become important or calibration is impossible to perform (e.g. in reactive systems), indirect hard-modeling is a viable alternative.
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Tool integration
- Process systems engineering makes use of a wide range of tools, from thermodynamic computations to computer-aided engineering environments. Tool integration connects these tools and yields efficient work processes across tool boundaries.
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Work process modeling
- Efficient work processes for core activities such as process design and plant operation are pivotal for economic success. The WOMS plus Framework supports the intuitive creation of work process models needed for the analysis, improvement, and implementation of industrial work processes.

