Estimation of the vitrified canister production for a PWR fleet with the CLASS code

IF 0.9 Q3 NUCLEAR SCIENCE & TECHNOLOGY
Léa Tillard, X. Doligez, G. Senentz, M. Ernoult, Jiali Liang, N. Thiollière
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引用次数: 1

Abstract

This article presents an assessment of fuel cycle parameter impact on waste production through the prism of vitrified container and minor actinide masses, using a scenario simulated with the CLASS code. The number of canister introduces a new focus on waste production estimation for a nuclear fleet, as it helps to set the repository size for deep geological disposal of high level waste. To evaluate the number of canisters, dedicated developments to model a simplified waste vitrification unit in the CLASS package are presented. It relies on artificial neural network estimations of decay heat, α radiation and mass content, for different material flow coming from reprocessing and sent to vitrification. Then, the studied scenario considers a transition from a PWRs plutonium mono-recycling fleet to a plutonium multi-recycling fleet. Vitrified waste container production is calculated as a function of different material reprocessing options. Simulations shows that up to 19% variation may be observed (in 2060) in canisters’ total number depending on the different assumptions. Impact of vitrification parameters such as the size of buffer before vitrification is also analysed and the importance of mixing material coming from MOX and MIX spent fuels with material from UOX spent fuels is clearly established.
具有CLASS代码的压水堆机队玻璃化罐生产的估计
本文通过玻璃化容器和少量锕系元素质量的棱镜,使用CLASS代码模拟的场景,评估燃料循环参数对废物产生的影响。储罐的数量引入了对核废料产生估计的新关注,因为它有助于确定深地质处置高放射性废料的储存库大小。为了评估罐的数量,在CLASS包装中提出了简化废物玻璃化单元的专用开发模型。它依靠人工神经网络对来自后处理和玻璃化的不同物料流的衰变热、α辐射和质量含量进行估计。然后,所研究的情景考虑了从钚单循环机组到钚多循环机组的过渡。玻璃化废物容器的产量作为不同材料再处理方案的函数进行计算。模拟表明,根据不同的假设,到2060年,罐的总数可能会有19%的变化。还分析了玻璃化前缓冲液大小等玻璃化参数的影响,并明确了将来自MOX和MIX乏燃料的材料与来自UOX乏燃料的材料混合的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
EPJ Nuclear Sciences & Technologies
EPJ Nuclear Sciences & Technologies NUCLEAR SCIENCE & TECHNOLOGY-
CiteScore
1.00
自引率
20.00%
发文量
18
审稿时长
10 weeks
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