Modelling of In-Line Tube Banks inside Advanced Gas-Cooled Reactor Boilers

James Blackall, Hector Iacovides, Juan Uribe Torres

    Research output: Contribution to journalArticlepeer-review

    Abstract

    The objective of this research is the prediction of forced convection across confined in-line tube banks found in Advanced Gas-Cooled Reactor (AGR) boiler systems. The focus of this work is periodic flow about a 2x2 array. A number of Reynolds-Averaged Navier-Stokes (RANS) turbulence modelling closures have been applied to the challenging case of 1.6 pitch-to-diameter spacing at which flow undergoes transition from straight to diagonal. In contrast to Large Eddy Simulation (LES) predictions, those of RANS models fail to predict transition to diagonal flow. As LES computations are not anticipated to become routine enough for the purpose of flow diagnostics in industrial contexts for many years, further refinement to the RANS methodology in the form of an analytical wall function is one of the main objectives. Its eventual inclusion is not only expected to improve the representation of turbulent boundary layer behaviour, but also has scope to account for augmented surface roughness effects experienced by AGR technologies nearing their end-of-life. This work is ultimately in aid of EDF Energy’s policy of AGR lifetime extensions, to allow the UK Government sufficient time to formulate a credible Nuclear New Build scheme to secure our energy requirements in the coming decades. It was found that all but dynamic LES adequately reproduces flow behaviour across all criteria considered, and that standard wall functions left much to be desired in the case of flow and thermal predictions, while introducing the analytical wall function generates improvements for flow and heat transfer predictions that are not universally shared between high-Re models utilised.
    Original languageEnglish
    JournalHeat Transfer Engineering
    Early online date19 Aug 2019
    DOIs
    Publication statusE-pub ahead of print - 19 Aug 2019

    Research Beacons, Institutes and Platforms

    • Dalton Nuclear Institute

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