Reduced Physics Models in SOLPS for Reactor Scoping Studies. Issue 6 (24th June 2016)

• Record Type: Journal Article
• Authors: Coster, D. P.
• Is Part Of: Contributions to plasma physics. Volume 56:Issue 6/8(2016)
• Page Start: 790
• Page End: 795
• Publication Date: 2016-06-24
• Subjects: SOLPS -- edge modelling -- ITER; Plasma (Ionized gases) -- Periodicals; Electronic journals; 530.44
• DOI: 10.1002/ctpp.201610035
• Languages: English
• ISSNs: 0863-1042

Abstract

Abstract: Heat exhaust is a challenge for ITER and becomes even more of an issue for devices beyond ITER. The main reason for this is that the power produced in the core scales as R 3 while relying on standard exhaust physics results in the heat exhaust scaling as R 1 (R is the major radius). ITER has used SOLPS (B2‐EIRENE) to design the ITER divertor, as well as to provide a database that supports the calculations of the ITER operational parameter space. The typical run time for such SOLPS runs is of the order 3 months (for D+C+He using EIRENE to treat the neutrals kinetically with an extensive choice of atomic and molecular physics). Future devices will be expected to radiate much of the power before it crosses the separatrix, and this requires treating extrinsic impurities such as Ne, Ar, Kr and Xe — the large number of charge states puts additional pressure on SOLPS, further slowing down the code. For design work of future machines, fast models have been implemented in system codes but these are usually unavoidably restricted in the included physics. As a bridge between system studies and detailed SOLPS runs, SOLPS offers a number of possibilities to speed up the code considerably at the cost of reducing the fidelity of the physics. By employing a fluid neutral model, aggressive bundling of the charge state of impurities, and reducing the size of the grids used, the run time for one second of physics time (which is often enough for the divertor to come to a steady state) can be reduced to approximately one day. This work looks at the impact of these trade‐offs in the physics by comparing key parameters for different simulation assumptions. (© 2016 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)