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28                    Thermal Hydraulics Aspects of Liquid Metal Cooled Nuclear Reactors

            refined meshes and high-order turbulence modeling (e.g., LES) to capture the details of
            temperature gradients and instabilities at the interface. These are available nowadays; there
            application is however still limited to small domains.
            Development needs
            Development and validation of CFD codes able to capture the stratification interface, and its
            dynamics remain necessary. Experimental campaigns on small-scale setups and in integral
            facilities are indispensable and need sufficient resolution in instrumentation for this purpose.

         l  Above core structure (see also Section 6.2.4)
            Challenge
            The above core structure is an important component from a thermal-hydraulic point of view
            as it influences the flow not only in the region above the core outlet but also in the whole
            upper plenum of the reactor (Tenchine, 2010). For example, it can enhance the mixing of
            nonisothermal jets exiting the fuel assemblies in the core and in this way reduces thermal
            striping and stratification in the upper plenum. One of the main components in the upper
            pool is the above core structure. The above core structure also supports the instrumentation
            that is used for monitoring the temperature at the core outlet during transiens and to detect
            eventual blockage in the fuel assemblies. It is thus important to know precisely not only
            the velocity and temperature field in the above core structure but also how these are related
            to the temperatures in the upper plenum and in the core outlet region.
            State of the art
            Limited, mostly design-specific experimental and numerical studies are available for this
            structure.
            Development needs
            The optimization of the above core structure design is a difficult process with multiple
            parameters and multiple objectives. The use of specific optimization tools in CFD
            (e.g., porous media optimization) might be explored for this purpose (Borrvall and
            Petersson, 2003). Obviously, this should include an experimental validation program.
         l  Vessel cooling
            Challenge
            In scenarios where the normal heat removal systems are lost, the impact of auxiliary cooling
            systems such as reactor vessel auxiliary cooling system (RVACS) becomes essential.
            RVACS generally use natural circulation to provide decay heat removal to the atmosphere.
            Typical configurations use air tubes or air channels around the safety vessel. Heat transfer
            occurs from the reactor vessel through the safety vessel to the RVACS by a combination
            of conduction, (natural) convection, and radiation processes. It is important to characterize
            the performance of these systems in case of accidents. In normal operation conditions, the
            impact of the RVACS system on the vessel temperatures is important for the assessment of
            thermal stresses in the vessel. In a similar way, the heat transfer from the liquid-metal pool
            through the cover gas is a combination of natural convection and radiation processes that
            needs to be characterized properly in order to determine the heat load on the reactor cover.
            Penetrations in the vessel cover and structures in the cover gas plenum complicate the cel-
            lular convection that can lead to large circumferential temperature variations in the cover and
            structures. The natural convection of the cover gas might also lead to the transport of coolant
            vapor or aerosols from the coolant-free surface to colder regions in the cover gas plenum,
            where they deposit and can lead to difficulties in moving components (see, e.g., Velusamy
            et al., 2010).
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