Detection of 3D instabilities of a DCLL buoyant MHD flow with OpenFOAM
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Abstract
Fusion nuclear energy is one of key energy resource towards switch to a more sustainable
energy generation. Even though there is a deep understanding of the physics involved,
there are still engineering challenges and technology limits that are needed to be broken
to access this resource.
One of the drawbacks are the cooling of the reactor and the tritium breeding. Most
standardized layouts use what is so-called a breeding blanket (BB). The BB presents
three main functions: shield the super-conductive magnets and the vacuum vessel from
the reactor neutron flux, extract the heat which will be used to produce useful energy, and
help to breed tritium (from the thermal neutrons, fast neutrons and the lithium) to be
further used as fuel. The BB may embed internal channels to allow a breeder-coolant fluid
to circulate along them. One of the current proposals uses two coolants, where the first
one is based on a liquid metal alloy of Lithium and Lead, and the second one is helium.
This design is also known as the Dual-Coolant Lithium Lead (DCLL).
The behaviour of this coolant is critical concerning the heat transfer and tritium transport.
These conditions are used to determine the temperature and tritium distribution
inside the channel. Temperature indicates whether a material can withstand the imposed
conditions as a structural component and the tritium distribution specifies if there might
be an undesirable tritium accumulation inside the channel, since tritium is needed to be
gathered to sustain the reactor fuel cycle.
In order to understand the behaviour of the flow with the extreme conditions it is surrounded
by, intense magnetic field and mixed convection (natural due to the high temperature
gradient and forced). The physics the flows can be studied by magnetohydrodynamics
(MHD) model using computational fluid dynamics (CFD) methods. Such models, require
high computational resources to be resolved which make them time and economically expensive.
The aim of the current project is contributing on the research and the development of analysis
tools to improve the understanding of the technology and cheapen such development.
Therefore, after working on this project, a detecting instabilities algorithm combination of
two methods based on the Discrete Fourier Transform have been developed and validated.
The results are promising because now there is a new tool ready to be fully tested and
provide a new way of analysing large sets of simulations, specially when there is no time to
manually examine one case at a time. Thus, it is expected to properly fit in the work chain
of the study of the parametrization based on Re, Gr and Ha of the MHD-LM channel
flow behaviour.
TitulacióMÀSTER UNIVERSITARI EN ENGINYERIA INDUSTRIAL (Pla 2014)
Col·leccions
Fitxers | Descripció | Mida | Format | Visualitza |
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master-s-thesis-js-final.pdf | 13,08Mb | Accés restringit |