waste vitrification
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2022 ◽  
Vol 578 ◽  
pp. 121352
Author(s):  
Ryuhei Motokawa ◽  
Koji Kaneko ◽  
Yojiro Oba ◽  
Takayuki Nagai ◽  
Yoshihiro Okamoto ◽  
...  

2022 ◽  
Author(s):  
Adam J Fisher ◽  
Hao Ding ◽  
Prashant Rajbhandari ◽  
Brant Walkley ◽  
Lewis R Blackburn ◽  
...  

Within the context of the UK’s radioactive waste vitrification programme, which utilises a lithium-sodium borosilicate glass modified with CaO and ZnO to immobilise high level nuclear waste, an investigation was...


2021 ◽  
pp. 153381
Author(s):  
Thomas Charpin ◽  
Alain Ledoux ◽  
Caroline Michel ◽  
Sophie Schuller ◽  
Dominique Thomas
Keyword(s):  

MRS Advances ◽  
2021 ◽  
Author(s):  
Natalie J. Smith-Gray ◽  
Irmak Sargin ◽  
Scott Beckman ◽  
John McCloy

Author(s):  
Olivier Pinet ◽  
Etienne Vernaz ◽  
Christian Ladirat ◽  
Stéphane Gin

2021 ◽  
Vol 7 ◽  
pp. 21
Author(s):  
Léa Tillard ◽  
Xavier Doligez ◽  
Gérald Senentz ◽  
Marc Ernoult ◽  
Jiali Liang ◽  
...  

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.


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