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Hyper-fidelity depletion with discrete motion for pebble bed reactors
Hyper-fidelity (HxF) depletion of pebble bed reactors (PBRs) is the capability to model depletion for every pebble while accounting for motion through the core. Previous HxF work demonstrated feasibility to deplete hundreds of thousands of stationary pebbles concurrently within reasonable timeframes...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404221/ https://www.ncbi.nlm.nih.gov/pubmed/37543615 http://dx.doi.org/10.1038/s41598-023-39186-3 |
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author | Robert, Yves Siaraferas, Tatiana Fratoni, Massimiliano |
author_facet | Robert, Yves Siaraferas, Tatiana Fratoni, Massimiliano |
author_sort | Robert, Yves |
collection | PubMed |
description | Hyper-fidelity (HxF) depletion of pebble bed reactors (PBRs) is the capability to model depletion for every pebble while accounting for motion through the core. Previous HxF work demonstrated feasibility to deplete hundreds of thousands of stationary pebbles concurrently within reasonable timeframes. This work illustrates the second step towards HxF, coupling depletion with a discrete motion scheme. The model assumes an ordered bed with pebbles occupying fixed positions. Motion is simplified as discrete since pebbles move in straight lines from one set position to another. The methodology was implemented in Serpent 2, combined with its transport and depletion capabilities. Ad-hoc routines were developed ensuring compatibility with domain decomposition and pebble recirculation after each pass based on discharge criteria and fresh pebble insertion. Capabilities of HxF with discrete motion are demonstrated using a full-scale high-temperature gas-cooled reactor model. Specifically, an approach to equilibrium is performed, and example results are shown for in-core and discarded pebbles. The data illustrates how HxF provides unique insights into PBR fuel, producing information on statistical distributions rather than average values only, as obtained by traditional methods that rely on spectral zoning for depletion. Knowledge of these distributions can greatly improve analysis and assessment of PBRs. |
format | Online Article Text |
id | pubmed-10404221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104042212023-08-07 Hyper-fidelity depletion with discrete motion for pebble bed reactors Robert, Yves Siaraferas, Tatiana Fratoni, Massimiliano Sci Rep Article Hyper-fidelity (HxF) depletion of pebble bed reactors (PBRs) is the capability to model depletion for every pebble while accounting for motion through the core. Previous HxF work demonstrated feasibility to deplete hundreds of thousands of stationary pebbles concurrently within reasonable timeframes. This work illustrates the second step towards HxF, coupling depletion with a discrete motion scheme. The model assumes an ordered bed with pebbles occupying fixed positions. Motion is simplified as discrete since pebbles move in straight lines from one set position to another. The methodology was implemented in Serpent 2, combined with its transport and depletion capabilities. Ad-hoc routines were developed ensuring compatibility with domain decomposition and pebble recirculation after each pass based on discharge criteria and fresh pebble insertion. Capabilities of HxF with discrete motion are demonstrated using a full-scale high-temperature gas-cooled reactor model. Specifically, an approach to equilibrium is performed, and example results are shown for in-core and discarded pebbles. The data illustrates how HxF provides unique insights into PBR fuel, producing information on statistical distributions rather than average values only, as obtained by traditional methods that rely on spectral zoning for depletion. Knowledge of these distributions can greatly improve analysis and assessment of PBRs. Nature Publishing Group UK 2023-08-05 /pmc/articles/PMC10404221/ /pubmed/37543615 http://dx.doi.org/10.1038/s41598-023-39186-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Robert, Yves Siaraferas, Tatiana Fratoni, Massimiliano Hyper-fidelity depletion with discrete motion for pebble bed reactors |
title | Hyper-fidelity depletion with discrete motion for pebble bed reactors |
title_full | Hyper-fidelity depletion with discrete motion for pebble bed reactors |
title_fullStr | Hyper-fidelity depletion with discrete motion for pebble bed reactors |
title_full_unstemmed | Hyper-fidelity depletion with discrete motion for pebble bed reactors |
title_short | Hyper-fidelity depletion with discrete motion for pebble bed reactors |
title_sort | hyper-fidelity depletion with discrete motion for pebble bed reactors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10404221/ https://www.ncbi.nlm.nih.gov/pubmed/37543615 http://dx.doi.org/10.1038/s41598-023-39186-3 |
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