Direct Numerical Simulation of high Prandtl number fluids and supercritical carbon dioxide canonical flows using the spectral element method
Tri Nguyen, Elia Merzari, Haomin Yuan

TL;DR
This paper uses spectral element methods to perform direct numerical simulations of heat transfer in high Prandtl number fluids and supercritical CO2 flows, aiming to develop accurate heat transfer models for advanced nuclear reactors.
Contribution
It introduces high-fidelity DNS data for high Prandtl number fluids and supercritical CO2, aiding the development of improved heat transfer correlations for nuclear reactor design.
Findings
Heat transfer deterioration linked to property changes and turbulence kinetic energy in supercritical CO2.
Flow direction affects heat transfer: upward flow causes deterioration, downward flow enhances heat transfer.
Database will be used to evaluate and modify existing heat transfer correlations.
Abstract
The design of advanced nuclear reactors (Gen IV) involves an array of challenging fluid-flow issues that affect safety and performance. Currently, these problems are addressed in an ad-hoc manner at varying scales which are time-consuming and expensive. The creation of a high-resolution heat transfer numerical database has the potential to help develop to accurate and inexpensively reduced resolution heat transfer models. Such models can help address industrial-driven issues associated with the heat transfer behavior of advanced reactors. The models can be developed using the multiscale hierarchy developed as part of the recently DOE-funded center of excellence for thermal-fluids applications in nuclear energy. Ultimately this can lead to fast-running reliable models, thus accelerating the deployment of advanced reactors. In this paper, we performed a series of Direct Numerical…
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Taxonomy
TopicsHeat transfer and supercritical fluids · Nanofluid Flow and Heat Transfer · Nuclear Engineering Thermal-Hydraulics
