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Compaction of Lattice Data: Improved Efficiency in Nuclear Core Calculation
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy.
2017 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Westinghouse Electric Sweden AB’s three-dimensional reactor core simulation program POLCA uses a large number of tables containing various fuel dependent data, such as cross sections, pin power maps with power distribution etc. POLCA uses quadratic and linear interpolation to extract the values needed for the simulation. However, finding the correct values to interpolate between takes time.

This master thesis describes a method of compacting the tables by removing values, in order to shorten the needed simulation time. This is done so that no significant accuracy is lost in the interpolations. The method also finds deviant values and replaces these with new, interpolated values.

The thesis shows that approximately 90 % of all values can be removed without losing significant accuracy. These results are however heavily dependent on the choice of accuracy loss criterion; a lower allowance for accuracy loss lowers the amount of values which can be removed sharply.

Place, publisher, year, edition, pages
2017. , p. 33
Series
UPTEC ES, ISSN 1650-8300 ; 17 025
Keywords [en]
nuclear physics, nuclear core calculation, PHOENIX, POLCA, Westinghouse, cross sections
National Category
Other Physics Topics
Identifiers
URN: urn:nbn:se:uu:diva-331568OAI: oai:DiVA.org:uu-331568DiVA, id: diva2:1149299
External cooperation
Westinghouse Electric Sweden AB
Educational program
Master Programme in Energy Systems Engineering
Supervisors
Examiners
Available from: 2017-10-16 Created: 2017-10-15 Last updated: 2017-10-16Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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