2020
DOI: 10.1088/1742-6596/1689/1/012043
|View full text |Cite
|
Sign up to set email alerts
|

Effect of gadolinium absorber radial profiling in fuel pins on VVER-1000 assembly neutron-physical characteristics

Abstract: The paper raises the problem of non-optimal use of resources. The purpose is to extend the fuel campaign. An alternative task is to increase the duration of the reactor campaign to increase the flexibility of decision-making during the operation of a nuclear reactor. The paper presents calculations of the profiling of a burnable absorber in fuel assemblies for VVER-1000 reactors. A quantitative assessment of the effect of alternative placement of gadolinium in fuel elements is made. Changes in the burnup of fu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 10 publications
0
1
0
Order By: Relevance
“…The calculations were carried out using the Serpent 2 software package. The results of calculating the burnup of fuel assemblies with gadolinium for VVER-440 and VVER-1000 reactors are also presented in (Lötsch 2014, Novak et al 2017, Vnukov et al 2020. The burnup calculations for a VVER-1200 hexagonal fuel assembly (Abu Sondos et al 2019, Vnukov et al 2021) based on the Serpent code give sufficiently accurate results compared to the results obtained using other proven codes.…”
Section: Modelmentioning
confidence: 96%
“…The calculations were carried out using the Serpent 2 software package. The results of calculating the burnup of fuel assemblies with gadolinium for VVER-440 and VVER-1000 reactors are also presented in (Lötsch 2014, Novak et al 2017, Vnukov et al 2020. The burnup calculations for a VVER-1200 hexagonal fuel assembly (Abu Sondos et al 2019, Vnukov et al 2021) based on the Serpent code give sufficiently accurate results compared to the results obtained using other proven codes.…”
Section: Modelmentioning
confidence: 96%