2017
DOI: 10.1016/j.anucene.2016.08.004
|View full text |Cite
|
Sign up to set email alerts
|

Effect of 3-D moderator flow configurations on the reactivity of CANDU nuclear reactors

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
0
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 21 publications
0
0
0
Order By: Relevance
“…Monitoring of the volumetric power distribution in a nuclear reactor is crucial for safe and reliable operations. The power distribution may become perturbed over the life of the core because of a range of possible reactor kinetic conditions [1][2][3][4][5][6][7]. It is important that these perturbations be characterized so that appropriate actions may be taken to stabilize the power distribution.…”
Section: Introductionmentioning
confidence: 99%
“…Monitoring of the volumetric power distribution in a nuclear reactor is crucial for safe and reliable operations. The power distribution may become perturbed over the life of the core because of a range of possible reactor kinetic conditions [1][2][3][4][5][6][7]. It is important that these perturbations be characterized so that appropriate actions may be taken to stabilize the power distribution.…”
Section: Introductionmentioning
confidence: 99%
“…To ensure the safe, efficient, effective operation of nuclear power plants, it is crucial that the reactor core power distribution is actively inferred throughout the operational timeline. Over the life of the core, the power distribution will be subject to perturbations relating to fuel burnup or burnable absorber material, variations in coolant temperature, pressure, or flow conditions, build-in of Xe-135, and movement of control rods [1,2,3,4,5,6,7]. In general, power distribution inferencing (also called power shape synthesis) is achieved by collecting data from an array of in-core or ex-core sensors and using this data to inform reconstruction methods to determine power distribution.…”
Section: Introductionmentioning
confidence: 99%