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Projects: Projects for Investigator
Reference Number EP/P02372X/1
Title A new algorithm to track fast ions in fusion reactors
Status Completed
Energy Categories Nuclear Fission and Fusion(Nuclear Fusion) 100%;
Research Types Basic and strategic applied research 100%
Science and Technology Fields PHYSICAL SCIENCES AND MATHEMATICS (Physics) 100%
UKERC Cross Cutting Characterisation Not Cross-cutting 100%
Principal Investigator Dr D Ruprecht
No email address given
Mechanical Engineering
University of Leeds
Award Type Standard
Funding Source EPSRC
Start Date 01 October 2017
End Date 26 November 2018
Duration 14 months
Total Grant Value £97,707
Industrial Sectors Energy; R&D
Region Yorkshire & Humberside
Programme NC : Physical Sciences
 
Investigators Principal Investigator Dr D Ruprecht , Mechanical Engineering, University of Leeds (100.000%)
  Industrial Collaborator Project Contact , EURATOM/CCFE (0.000%)
Project Contact , Tech X UK Ltd (0.000%)
Web Site
Objectives
Abstract Fusion reactors could some day provide a clean and nearly inexhaustible source of energy, but their development has proven to be challenging. Nevertheless, great progress has been made in recent decades and fusion research is now at a critical stage: ITER, the first test reactor anticipated to generate a surplus of energy, is being built and operation is planned to start around 2025. It will serve as a testbed for DEMO, a prototype for a commercially viable fusion power plant to be completed by 2050. The Culham Centre for Fusion Energy (CCFE) is a key contributor to this development: it operates the Joint European Torus (JET) which is currently the world's largest fusion test reactor. JET is important for experimental results and validation of simulation software, both of which are used to inform the design of the much larger ITERComputer simulations complementing experiments with test reactors are critical for the design and operation of ITER but also to explore alternative reactor designs. The immense complexity of the physics involved translates into complex mathematical models which take a long time to solve numerically, even on modern computer architectures. As reactors grow in size and complexity, so do the employed models and therefore solution times. LOCUST, for example, is a state-of-the-art particle tracker used operationally at CCFE and optimised heavily to exploit graphical processing unit (GPU) accelerators. However, one simulation of the trajectories of fast ions generated from neutral beam injection in the JET test reactor still takes around 10 hours to complete. Because of the higher energies, a similar simulation for ITER already takes 4 to 7 days. Therefore, at the moment, design choices can be informed only by a small number of simulations with carefully selected parameters. However, systematic exploration of a wide range of design parameters in computer simulations is not yet possible.The project will develop a new and more efficient algorithm and deploy it as a particle tracker in CCFE's operational simulation software. This will help to significantly reduce solution times and contribute toward the order of magnitude reduction of runtimes needed for effective in-silico design of components for ITER. While the new algorithm will be deployed for a specific application, the mathematical ideas developed during the project can help to improve the efficiency of computer simulations in other applications such as manufacturing processes involving plasmas, for example for flat panel displays or solar panels.
Publications (none)
Final Report (none)
Added to Database 09/11/17