| EPSRC Reference: |
GR/R61581/01 |
| Title: |
Optimal decision-making technology for biocatalytic process network synthesis |
| Principal Investigator: |
Linke, Dr P |
| Other Investigators: |
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| Department: |
Engineering and Physical Sciences |
| Organisation: |
University of Surrey |
| Scheme: |
Fast Stream |
| Starts: |
02 January 2002 |
Ends: |
01 January 2005 |
Value (£): |
63,170
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| EPSRC Research Topic Classifications: |
| Catalysis & Applied Catalysis |
Design of Process systems |
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| EPSRC Industrial Sector Classifications: |
| Chemicals |
No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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The development of novel decision support technology is proposed that will enable the design engineer to systematically derive optimal reaction process structures for biocatalytic systems. The technology will extend the applicability of optimisation-based process design techniques to integrated biocatalytic reaction and separation systems. Capitalising on previous experience of reaction-separation process synthesis and optimisation, a modelling and stochastic optimisation framework will be developed that captures and systematically exploits the process trade-offs and layouts in general biocatalytic systems. The technology enables the search of wide information bases and will have the potential to identify novel process structures with significantly enhanced performance charcteristics.The design problem will be addressed following a two-stage strategy so as to overcome numerical problems and the limitations of available optimisation technologies. In a first conceptual targeting stage, the exploration of a phenomena-based process supermodel will provide a quick determination of the systems' performance limits and insights into the dominant process characteristics. Building upon this conceptual knowledge, the process selection stage will exploit tailored process-unit based superstructures to develop high-performance process design candidates. Both stages allow for extensive user-interaction in the form of constraints on prohibitive scenarios and operational regimes to ensure the selection of practical high performance designs.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.surrey.ac.uk |