Parameters influencing the activation of dismantling nuclear facility structures

Loirec, C. Le; Riffard, C.; Barran, F.; Bellanger, V.; Pénéliau, Y.; Villard, M.; Berson, X.; Jeury, F.; Eschbach, R.

doi:10.1016/j.anucene.2019.05.054

Cited by 3 publications

(2 citation statements)

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“…Considering the decommissioned nuclear facilities including the operation and preparing periods, the treatment of radioactive materials has one of the important issues in the dismantled possesses where the plant structures and nuclear wastes are included in the radioactively contaminated stuff. Therefore, this study makes the modeling of a 100‐year period from 0th to 100th year, where the parameters regarding nuclear decommission are related to safety and economical factors 15 . Hence, the organizations of the decommission‐related elements should be investigated in this study.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, this study makes the modeling of a 100-year period from 0th to 100th year, where the parameters regarding nuclear decommission are related to safety and economical factors. 15 Hence, the organizations of the decommission-related elements should be investigated in this study. Since this project is connected to many areas such as the networking system, issues are complex in nuclear decommissions.…”

Section: Introductionmentioning

confidence: 99%

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Development of multicriteria nuclear dismantling management incorporated with fuzzy deep learning in nuclear power plants (NPPs)

Baek

Jang

Cho

et al. 2022

Energy Science & Engineering

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The nuclear dismantling assessment is analyzed with the fuzzy set and deep‐learning algorithm, where the project preference time search (PPTS) has been constructed. Artificial intelligence (AI) management is applied to nuclear decommissioning for the best estimation. The basic data are from three factors, Licensee, NRC, and Public. In the analysis, the highest OUTPUT value is 0.0513151 in the 72nd year, which is the best time for decommissioning, because the confidence value in the 37th year is 78.76% compared to that of the 72nd year. In the other case of membership functions with right‐shift values, the change rate is higher in the 72nd year as being similar to the value in the 37th year near 0.09 in final confidence value. The trend is a new function that shows two peaks compared to the previous one. The other cases could be made by comparing in the interested time. Finally, the list of reactor decommissions processes with numbering is used to find out the very confident time using the final confidence value as the PPTS method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%