Process simulation
Division 2.2
The division's vision is to develop process simulation into the core method for evaluating process and plant safety. This concerns the entire life cycle of chemical plants, from synthesis and design to operation and decommissioning or modification. Digital methods, tools and process models are required throughout the life cycle in order to master the transformation towards sustainable, safe process engineering.
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Fields of expertise
- Modelling, simulation, and optimization of chemical / process plants
- Mixed-integer nonlinear optimization
- Dynamic optimization
- Digitalization of the life cycle of chemical plants: information and process models
- Machine learning and hybrid modelling for dynamic systems
- Interoperability in process simulation using CAPE-OPEN
- Modelling using MathML/XML
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Main activities
Research focuses on the development of dynamic process models to describe all system states from start-up to shutdown. An open library for dynamic, pressure-driven models is established for this purpose. The MOSAICmodeling software is further developed by the division as a tool for transparency and confidence in modelling, simulation, and optimization.
The division uses machine learning, uncertainty quantification and hybrid modeling methods to drive forward real-time application and plant monitoring.
For the comprehensive digitalization of process engineering, the division is also researching information and data modelling as well as process models from engineering to the operation of chemical plants. This is supplemented by the development of methods for the safe and optimal transformation of chemical plants.
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Range of services/technical equipment
Support in modeling, simulation, and optimization of chemical plants:
- Optimization for process synthesis and design
- Optimal design of experiments for chemical engineering plants
- Simulation and optimization for operational monitoring, control, and automation
- Safety assessment of dynamic plant operation
Development of research software for process simulation as well as process and plant safety
Information and process modeling in the engineering of chemical plants
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Publications of the division
In the database PUBLICA you will find publications by BAM employees.
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Dr.-Ing. Erik Esche
