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Edge Transport in Fusion Plasmas

Transport processes in the plasma edge, both in the pedestal and scrape-off layer regions, are of critical importance for the successful operation of future fusion reactors (ITER and beyond). In present day large tokamaks, edge plasmas are characterised by steep radial gradients, high levels of turbulence and frequent intermittent bursts (blobs and ELMs). They are also influenced by plasma-neutral and plasma-surface interactions, with significant effects due to variation in magnetic geometry and/or topology (eg. the X-point). Despite its importance and recent progress, our understanding of edge transport is still in its infancy. This three day workshop, held under the auspices of the IEA Large Tokamak Implementing Agreement, will provide a forum for researchers with a serious interest in this fast growing field. Aside from overview talks by world leading experts focusing on the latest experimental, numerical, and theoretical results, significant time will be devoted to topical working group discussions aimed at engendering / furthering international collaborations.

The following topics are intended to be covered by invited and contributed talks:

• Basic edge plasma transport: theory and experiment
  • Characterisation of the SOL/Edge plasma
  • Challenges in edge plasma measurements
  • Instabilities and turbulence
  • Edge transport:
    • mass, momentum and energy
    • parallel and perpendicular to the magnetic field
  • Magnetic topology, stochasticity and toroidal field ripple
  
  
• Specific phenomena and edge control
  • L-H transition and pedestal
  • Edge Localised Modes (ELMs) and methods for their mitigation
  • Main chamber recycling and SOL flows
  • Power deposition on plasma facing components
  • Divertor physics, detachment and density limits
  
  
• Edge Plasma Modelling
  • Kinetic, Monte-Carlo and PIC codes
  • Multi-fluid codes (stability, transport, turbulence)
  • Non linear MHD (ideal and resistive/dissipative)
  • Modelling of transients: ELMs and turbulence
  • Integration of modelling approaches