PEC12-25 CAPEC-PROCESS Industrial Consortium ... - DTU Orbit

Associate
Professor Jens
Abildskov (JA)
Associate
Professor Gürkan
Sin (GSI)
Research focuses on development and analysis of correlations and
predictive models for thermodynamic properties of fluids for
chemical process design. Relationships are sought between
molecular structure and thermodynamic properties for simple
descriptions of thermodynamic properties. For densities and
activities of strongly non-ideal fluids this is offered by statistical
mechanical methods based on molecular correlation functions and
their connections to fluctuation properties. Examples of applications
are
• thermodynamic modeling and microscale simulation for
properties relevant to biocatalysis
• mixed solvents (liquids and ionic liquids) with dissolved gases,
enzymes and pharmaceuticals
Exploration is also being made of process energy requirements, to
determine the efficiencies of diabatic distillation processes. Reverse
engineering is employed in a set of contexts.
Collaborations (outside DK) involve researchers in the U.S., the
Netherlands and Germany.
Research Areas (CAPEC): A, B, F
The research, in general, focus on development of systematic
methods and tools for understanding, design, operation and control
(bio)chemical processes and aims at providing rationale basis for
better informed decision-making in engineering applications to
achieve energy efficient and sustainable chemical & biochemical
industry. Current research aims at moving the current design
paradigm to predictive and probabilistic-based approaches and
includes:
• Model-based product - process design; model-based technology
evaluation, process synthesis & process retrofitting, risk-based
design ; robust decision making under uncertainty
• Dynamics and process control; Integrated process design and
control; plantwide control; model-based control and operability
analysis
• Process modelling; model identification; model analysis;
numerical methods; systems approach
• Uncertainty analysis; Sensitivity analysis; Monte-Carlo
simulations; Bayesian Inference; Variance decomposition
• Process monitoring, safety and risk assessment
Applications in chemical, biochemical (biotechnology, fermentation
technology, etc), pharmaceutical, food and water industries.
Research areas (CAPEC): B, C, D, E
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