小型模块化铅冷快堆MOX废核燃料观测数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-03-22 DOI:10.1016/j.dib.2025.111513

Victor J. Casas-Molina , Pablo Romojaro , Gwennaelle Nourry , Gert Van den Eynde , Luca Fiorito , Ivan Merino-Rodríguez , Tom Dhaene , Ivo Couckuyt

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引用次数: 0

摘要

使用混合氧化物（MOX）燃料的铅冷快堆（LFRs）由于其锕系元素嬗变能力、被动安全特性和最小的废物放射性毒性，在第四代（Gen IV）小型模块化反应堆（SMR）领域具有很好的候选前景。为了安全管理、存储、保障，严格的表征是必要的。该数据库的开发是为了支持mox基铅冷快堆的选型和设计。这篇数据文章介绍了一个全面的同位素质量密度数据集，涵盖了辐照LFR-MOX燃料中存在的152种核素，此外还提供了对燃料特性的见解，如活性、衰变热率、光子发射率、自发裂变率和不同衰变步骤的放射性毒性值。使用Serpent2蒙特卡罗代码进行燃料消耗计算，并使用SerpentTools进行处理，该数据集捕获库存数据，作为反应堆功率、燃料燃耗、新鲜MOX中的钚矢量和辐照结束时的衰变时间的函数，从而能够分析SNF特性。数据集以Parquet格式存储，包括一个主耗尽文件和13个衰减文件。

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Dataset of observables for small modular lead-cooled fast reactor MOX spent nuclear fuel

Lead-cooled Fast Reactors (LFRs) with mixed-oxide (MOX) fuel are promising candidates in the Generation IV (Gen IV) small modular reactor (SMR) landscape due to their capacity for actinides transmutation, passive safety features, and minimized waste radiotoxicity. For secure management, storage, safeguards, rigorous characterization is necessary. This database was developed to support the optioneering and design of MOX-based lead-cooled fast reactors. This data article introduces a comprehensive dataset of isotopic mass densities, spanning 152 nuclides present in irradiated LFR-MOX fuel, additionally providing insights into fuel characteristics such as activity, decay heat rates, photon emission rates, spontaneous fission rates, and radiotoxicity values across various decay steps.

Using the Serpent2 Monte Carlo code for fuel depletion calculations, and processed with SerpentTools, the dataset captures inventory data as a function of reactor power, fuel burnup, plutonium vector in the fresh MOX, and decay time at the end of irradiation, enabling analyses of SNF properties. The dataset is stored in Parquet format, including one primary depletion file and 13 decay files.

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.