Published 2021 | Version v1
Journal article

Assessment of Parallel Simulated Annealing Performance With the NEXUS/ANC9 Core Design Code System

  • 1. Westinghouse Electric Company 1000 Westinghouse Dr, Cranberry Township, PA 16066 (United States)
  • 2. Oak Ridge National Laboratory One Bethel Valley Road, Oak Ridge, TN 37830 (United States)

Description

The method of parallel simulated annealing is being considered as a loading pattern optimization method to be used within the framework of the latest Westinghouse core design code system NEXUS/ANC9. A prototype version of NEXUS/ANC9 that incorporates the parallel simulated annealing method was developed. The prototype version was evaluated in terms of robustness, performance and results. The prototype code was used to optimize LPs for several plants and cycles, including 2-loop, 3-loop and 4-loop Westinghouse plants. Different fuel assembly lattices with IFBA, WABA and Gadolinium burnable absorbers were also exercised in these cores. Different strategies were evaluated using different options in the code. Special attention was paid to the robustness and performance when different number of parallel processes were used with different size of Markov chain.

Availability note (English)

Available from https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_02019.pdf; https://doaj.org/article/3c60b626339d406eabfc055c934dadfe

Additional details

Publishing Information

Journal Title
EPJ. Web of Conferences
Journal Volume
247
Journal Page Range
vp.
ISSN
2100-014X

Conference

Title
International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future
Acronym
PHYSOR2020
Dates
28 Mar - 2 Apr 2020
Place
Cambridge (United Kingdom)

INIS

Country of Publication
France
Country of Input or Organization
France
INIS RN
53087758
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING; S11: NUCLEAR FUEL CYCLE AND FUEL MATERIALS;
Resource subtype / Literary indicator
Conference
Descriptors DEI
COMPUTERIZED SIMULATION; DESIGN; FUEL ASSEMBLIES; MARKOV PROCESS; NUCLEAR INDUSTRY; OPTIMIZATION; PERFORMANCE
Descriptors DEC
INDUSTRY; SIMULATION; STOCHASTIC PROCESSES