Abstract
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.
Original language | English |
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Title of host publication | International Conference on Physics of Reactors |
Subtitle of host publication | Transition to a Scalable Nuclear Future, PHYSOR 2020 |
Editors | Marat Margulis, Partrick Blaise |
Publisher | EDP Sciences - Web of Conferences |
Pages | 263-269 |
Number of pages | 7 |
ISBN (Electronic) | 9781713827245 |
DOIs | |
State | Published - 2020 |
Event | 2020 International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future, PHYSOR 2020 - Cambridge, United Kingdom Duration: Mar 28 2020 → Apr 2 2020 |
Publication series
Name | International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future, PHYSOR 2020 |
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Volume | 2020-March |
Conference
Conference | 2020 International Conference on Physics of Reactors: Transition to a Scalable Nuclear Future, PHYSOR 2020 |
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Country/Territory | United Kingdom |
City | Cambridge |
Period | 03/28/20 → 04/2/20 |
Funding
The authors would like to thank the colleagues in the Core Engineering and Methods Development departments for their support in the course of this work.
Keywords
- Loading pattern optimization
- NEXUS/ANC9
- Parallel simulated annealing