Assessment of Parallel Simulated Annealing Performance With the NEXUS/ANC9 Core Design Code System
Creators
- 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/3c60b626339d406eabfc055c934dadfeAdditional details
Identifiers
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