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Nuclear Science and Engineering
Fusion Science and Technology
Obstacles to new nuclear in Sweden cleared
Aerial view of Sweden’s parliament building, Riksdagshuset, in Stockholm. (Photo: Arild Vågen/Wikipedia)
Sweden’s parliament, the Riksdag, has approved legislative amendments from Prime Minister Ulf Kristersson’s government that will remove the country’s prohibition on new reactor construction at sites other than Sweden’s three current nuclear plants—Forsmark, Ringhals, and Oskarshamn—and do away with the limitation on the number of simultaneously operating reactors, currently capped at 10.
The amendments enter force on January 1.
“The Riksdag shares the government’s assessment that fossil-free electricity from nuclear power will also continue to play a role of central importance in the Swedish energy mix,” the legislative body said in a statement following the November 29 vote. “The main reasons for this are an expected greater demand for electricity in combination with the fact that fossil fuels have to be phased out, particularly for climate reasons. Nuclear power also contributes to the stable and predictable functioning of the Swedish power system.”
M. Kostuk, T. D. Uram, T. Evans, D. M. Orlov, M. E. Papka, D. Schissel
Fusion Science and Technology | Volume 74 | Number 1 | July-August 2018 | Pages 135-143
Technical Paper | doi.org/10.1080/15361055.2017.1390388
Articles are hosted by Taylor and Francis Online.
For the first time, an automatically triggered, between-pulse fusion science analysis code was run on-demand at a remotely located supercomputer at Argonne Leadership Computing Facility (ALCF, Lemont, Illinois) in support of in-process experiments being performed at DIII-D (San Diego, California). This represents a new paradigm for combining geographically distant experimental and high-performance computing facilities to provide enhanced data analysis that is quickly available to researchers. Enhanced analysis improves the understanding of the current pulse, translating into a more efficient use of experimental resources and quality of the resultant science. The analysis code used here, called SURFMN, calculates the magnetic structure of the plasma using Fourier transform. Increasing the number of Fourier components provides a more accurate determination of the stochastic boundary layer near the plasma edge by better resolving magnetic islands, but requires 26 min to complete using local DIII-D resources, putting it well outside the useful time range for between-pulse analysis. These islands relate to confinement and edge-localized mode suppression, and may be controlled by adjusting coil currents for the next pulse. ALCF has ensured on-demand execution of SURFMN by providing a reserved queue, a specialized service that launches the code after receiving an automatic trigger, and network access from the worker nodes for data transfer. Runs are executed on 252 cores of ALCF’s Cooley cluster and the data are available locally at DIII-D within 3 min of triggering. The original SURFMN design limits additional improvements with more cores; however, our work shows a path forward where codes that benefit from thousands of processors can run between pulses.