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

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,...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Tillard Léa, Doligez Xavier, Senentz Gérald, Ernoult Marc, Liang Jiali, Thiollière Nicolas
Formato: article
Lenguaje:EN
Publicado: EDP Sciences 2021
Materias:
Acceso en línea:https://doaj.org/article/701c61d5b6664082b8908e5325012fca
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:701c61d5b6664082b8908e5325012fca
record_format dspace
spelling oai:doaj.org-article:701c61d5b6664082b8908e5325012fca2021-12-02T17:13:02ZEstimation of the vitrified canister production for a PWR fleet with the CLASS code2491-929210.1051/epjn/2021020https://doaj.org/article/701c61d5b6664082b8908e5325012fca2021-01-01T00:00:00Zhttps://www.epj-n.org/articles/epjn/full_html/2021/01/epjn210017/epjn210017.htmlhttps://doaj.org/toc/2491-9292This 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.Tillard LéaDoligez XavierSenentz GéraldErnoult MarcLiang JialiThiollière NicolasEDP SciencesarticleNuclear engineering. Atomic powerTK9001-9401ENEPJ Nuclear Sciences & Technologies, Vol 7, p 21 (2021)
institution DOAJ
collection DOAJ
language EN
topic Nuclear engineering. Atomic power
TK9001-9401
spellingShingle Nuclear engineering. Atomic power
TK9001-9401
Tillard Léa
Doligez Xavier
Senentz Gérald
Ernoult Marc
Liang Jiali
Thiollière Nicolas
Estimation of the vitrified canister production for a PWR fleet with the CLASS code
description 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.
format article
author Tillard Léa
Doligez Xavier
Senentz Gérald
Ernoult Marc
Liang Jiali
Thiollière Nicolas
author_facet Tillard Léa
Doligez Xavier
Senentz Gérald
Ernoult Marc
Liang Jiali
Thiollière Nicolas
author_sort Tillard Léa
title Estimation of the vitrified canister production for a PWR fleet with the CLASS code
title_short Estimation of the vitrified canister production for a PWR fleet with the CLASS code
title_full Estimation of the vitrified canister production for a PWR fleet with the CLASS code
title_fullStr Estimation of the vitrified canister production for a PWR fleet with the CLASS code
title_full_unstemmed Estimation of the vitrified canister production for a PWR fleet with the CLASS code
title_sort estimation of the vitrified canister production for a pwr fleet with the class code
publisher EDP Sciences
publishDate 2021
url https://doaj.org/article/701c61d5b6664082b8908e5325012fca
work_keys_str_mv AT tillardlea estimationofthevitrifiedcanisterproductionforapwrfleetwiththeclasscode
AT doligezxavier estimationofthevitrifiedcanisterproductionforapwrfleetwiththeclasscode
AT senentzgerald estimationofthevitrifiedcanisterproductionforapwrfleetwiththeclasscode
AT ernoultmarc estimationofthevitrifiedcanisterproductionforapwrfleetwiththeclasscode
AT liangjiali estimationofthevitrifiedcanisterproductionforapwrfleetwiththeclasscode
AT thiollierenicolas estimationofthevitrifiedcanisterproductionforapwrfleetwiththeclasscode
_version_ 1718381384371798016