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Details of Grant 

EPSRC Reference: EP/T000414/1
Title: PREdictive Modelling with QuantIfication of UncERtainty for MultiphasE Systems (PREMIERE)
Principal Investigator: Matar, Professor OK
Other Investigators:
Pain, Professor CC Galvanin, Dr F Garbin, Dr V
Simmons, Professor M Vigolo, Dr D Chachuat, Dr B
Angeli, Professor P Guo, Professor Y Grover, Professor LM
Girolami, Professor M Lettieri, Professor P
Researcher Co-Investigators:
Project Partners:
Bangor University BP McGill University
NIHR Trauma Management HTC Office for Nuclear Regulation (ONR) PETRONAS
Procter & Gamble Schlumberger Syngenta
The Alan Turing Institute University Hospitals Birmingham Wood
Department: Chemical Engineering
Organisation: Imperial College London
Scheme: Programme Grants
Starts: 01 October 2019 Ends: 30 September 2024 Value (£): 6,560,538
EPSRC Research Topic Classifications:
Fluid Dynamics Multiphase Flow
EPSRC Industrial Sector Classifications:
Manufacturing Energy
Chemicals Healthcare
Related Grants:
Panel History:
Panel DatePanel NameOutcome
14 May 2019 Engineering Fellowships Interview Panel Meeting 14 and 15 May 2019 Announced
Summary on Grant Application Form
PREMIERE will integrate challenges identified by the EPSRC Prosperity Outcomes and the Industrial Strategy Challenge Fund (ISCF) in healthcare (Healthy Nation), energy (Resilient Nation), manufacturing and digital technologies (Resilient Nation, Productive Nation) as areas to drive economic growth. The programme will bring together a multi-disciplinary team of researchers to create unprecedented impact in these sectors through the creation of a next-generation predictive framework for complex multiphase systems. Importantly, the framework methodology will span purely physics-driven, CFD-mediated solutions at one extreme, and data-centric solutions at the other where the complexity of the phenomena masks the underlying physics. The framework will advance the current state-of-the-art in uncertainty quantification, adjoint sensitivity, data-assimilation, ensemble methods, CFD, and design of experiments to 'blend' the two extremes in order to create ultra-fast multi-fidelity, predictive models, supported by cutting-edge experimental investigations. This transformative technology will be sufficiently generic so as to address a wide spectrum of challenges across the ISCF areas, and will empower the user with optimal compromises between off-line (modelling) and on-line (simulation) efforts so as to meet an a priori 'error bar' on the model outputs. The investigators' synergy, and their long-standing industrial collaborations, will ensure that PREMIERE will result in a paradigm-shift in multiphase flow research worldwide. We will demonstrate our capabilities using exemplar challenges, of central importance to their respective sectors in close collaboration with our industrial and healthcare partners. Our PREMIERE framework will provide novel and more efficient manufacturing processes, reliable design tools for the oil-and-gas industry, which remove conservatism in design, improve safety management, and reduce emissions and carbon footprint. This framework will also provide enabling technology for the design, operation, and optimisation of the next-generation nuclear reactors, and associated reprocessing, as well as patient-specific therapies for diseases such as acute compartment syndrome.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
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Organisation Website: http://www.imperial.ac.uk