2002
DOI: 10.1080/18811248.2002.9715155
|View full text |Cite
|
Sign up to set email alerts
|

Critical Power Analysis with Mechanistic Models for Nuclear Fuel Bundles, (I)

Abstract: The critical power analysis code for BWR fuel bundles, "CAPE-BWR", was developed. The objective of the development is to predict dryout phenomena of liquid film on fuel rod surfaces without tuning any parameters even for fuel bundle design improvements. The major features of the code are modular structure with mechanistic models and parallel computation. The calculation methods were divided into three steps: subchannel, liquid film flow and spacer effect analyses. The code was validated by the rod bundle test … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2004
2004
2023
2023

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 20 publications
(2 citation statements)
references
References 17 publications
0
2
0
Order By: Relevance
“…Recently, a number of three-fluid models were developed to predict the thermal-hydraulic parameters in annular flow. [22][23][24] Compared to the mixture model, three-fluid models have more sophisticated characteristics and potential to be further developed. They are fitted to the simulation of transients and non-equilibrium conditions.…”
Section: One-dimensional Mixture Modelmentioning
confidence: 99%
“…Recently, a number of three-fluid models were developed to predict the thermal-hydraulic parameters in annular flow. [22][23][24] Compared to the mixture model, three-fluid models have more sophisticated characteristics and potential to be further developed. They are fitted to the simulation of transients and non-equilibrium conditions.…”
Section: One-dimensional Mixture Modelmentioning
confidence: 99%
“…Codes like SILFEED [9.10,11], FIDAS [12], CAPE-BWR [13], COBRA/BWR [14] etc. have been developed and compared with the experimental data achieving good accuracy.…”
Section: Introductionmentioning
confidence: 99%