Comparison of Pebble Bed Velocity Profiles Between High-Fidelity and Intermediate-Fidelity Codes
David Reger, Elia Merzari, Paolo Balestra, Sebastian Schunert, Yassin, Hassan

TL;DR
This study compares high-fidelity and intermediate-fidelity computational models of pebble bed flow to improve the accuracy of flow predictions in high-temperature gas reactors, highlighting the need for better near-wall drag modeling.
Contribution
It demonstrates the use of high-fidelity spectral-element simulations to evaluate and improve intermediate-fidelity porous media models for pebble bed flows.
Findings
High-fidelity simulations provide detailed flow data for pebble beds.
Intermediate models overestimate velocities near the outer regions.
Porosity alone does not explain velocity differences, indicating the need for better drag correlations.
Abstract
Recent interest for the development of high-temperature gas reactors has increased the need for more advanced understanding of flow characteristics in randomly packed pebble beds. A proper understanding of these flow characteristics can provide a better idea of the cooling capabilities of the system in both normal operation and accident scenarios. In order to enhance the accuracy of computationally efficient, intermediate fidelity modeling, high-fidelity simulation may be used to generate correlative data. For this research, NekRS, a GPU-enabled spectral-element computational fluid dynamics code, was used in order to produce the high-fidelity flow data for beds of 1,568 and 45,000 pebbles. Idaho National Lab's Pronghorn porous media code was used as the intermediate fidelity code. The results of the high-fidelity model were separated into multiple concentric regions in order to extract…
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Taxonomy
TopicsHeat and Mass Transfer in Porous Media · Granular flow and fluidized beds · Lattice Boltzmann Simulation Studies
