Dynamic model of Fast Breeder Test Reactor

Vaidyanathan, G.; Kasinathan, N.; Velusamy, K.

doi:10.1016/j.anucene.2010.01.013

Cited by 24 publications

(3 citation statements)

References 6 publications

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“…The buoyancy term is obtained by summing up the buoyancy forces in the different segments based on the temperatures' given by the thermal model. More details on the details of model and numerical solution techniques adopted are reported elsewhere (8).…”

Section: Process Modelmentioning

confidence: 99%

“…To predict the evolution of temperatures and flows during establishment of natural convection an one dimensional code DYNAM has been developed (8). The important features of the model are enumerated in the following lines.…”

Section: Process Modelmentioning

confidence: 99%

“…Details of models used for different reactors are not available in open literature. A computer code DYNAM has been earlier developed for the study of the transient simulation of FBTR (8). This code is one dimensional, and has thermal and hydraulic models of core, primary sodium circuit, IHX, Secondary sodium and steam generator.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Natural Convection in Secondary Sodium Circuit of Fast Breeder Test Reactor

Vaidyanathan¹,

Kasinathan²,

Velusamy³

2011

Int. Jour. Des. Manf. Tech.

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Fast Breeder Test Reactor(FBTR) is in operation since 1985. Tests and analysis have been performed to assess the conduciveness of the layout to natural convection under loss of pumping flow conditions. One such test refers to the secondary sodium circuit, which forms the link between the heat source (Core) in the primary sodium system and the steam generator which is the final heat sink. This paper details out the tests and two one dimensional numerical models for assessing the flow and compares the predictions with actual test results. Though there is a reasonable match, better assessment is possible with multidimensional models to predict the flow stagnation regions.

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Section: Process Modelmentioning

confidence: 99%

Section: Process Modelmentioning

confidence: 99%