Numerical correlations for thermal-hydraulic performance of He-Xe and He-Kr binary mixtures in pebble-bed geometries

A comprehensive CFD study was conducted to analyze the thermal and hydraulic behavior of He-Xe and He-Kr binary mixtures in pebble-bed geometries with varying Reynolds numbers (10 3 -5×10 4 ) and helium molar fractions (0.2-0.8). The simulations included both transitional and fully developed turbulent regimes, allowing for a systematic assessment of the effect of mixture composition on convective heat transfer and pressure drop. The results showed that the Nusselt number grows monotonically with Reynolds number, with helium-rich mixtures (≥60% He) showing improved heat transfer due to helium's strong thermal conductivity, while heavier gas mixtures provide lower Nusselt numbers. Pressure drop trends show how gas density and velocity interact, with He-Kr combinations providing more hydraulic resistance than He-Xe at equal compositions. Both accurately predict Nusselt numbers and pressure drops across the studied parameter space, showing good agreement with well-established correlations in the literature. Two correlation models were developed: one that provides mixture-specific power-law relationships and another that generalizes the findings into a composition-dependent framework. Both accurately predict Nusselt numbers and pressure drops across the studied parameter space. The findings highlight the trade-off between thermal performance and hydraulic resistance, and they provide practical guidance for optimizing helium-heavy gas combinations in pebble-bed reactor cooling systems.

Authors

Institutions

Publication Details

Journal
Progress in Nuclear Energy
Published
2026-09-16
DOI
https://doi.org/10.1016/j.pnucene.2026.106615
Primary Topic
Heat and Mass Transfer in Porous Media
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Numerical correlations for thermal-hydraulic performance of He-Xe and He-Kr binary mixtures in pebble-bed geometries

Salih Said Çatalbas, Cemil Kocar, Ali Tiftikci
Progress in Nuclear Energy
Heat and Mass Transfer in Porous Media
article

Numerical correlations for thermal-hydraulic performance of He-Xe and He-Kr binary mixtures in pebble-bed geometries

Salih Said Çatalbas, Cemil Kocar, Ali Tiftikci
article en

Abstract

A comprehensive CFD study was conducted to analyze the thermal and hydraulic behavior of He-Xe and He-Kr binary mixtures in pebble-bed geometries with varying Reynolds numbers (10 3 -5×10 4 ) and helium molar fractions (0.2-0.8). The simulations included both transitional and fully developed turbulent regimes, allowing for a systematic assessment of the effect of mixture composition on convective heat transfer and pressure drop. The results showed that the Nusselt number grows monotonically with Reynolds number, with helium-rich mixtures (≥60% He) showing improved heat transfer due to helium's strong thermal conductivity, while heavier gas mixtures provide lower Nusselt numbers. Pressure drop trends show how gas density and velocity interact, with He-Kr combinations providing more hydraulic resistance than He-Xe at equal compositions. Both accurately predict Nusselt numbers and pressure drops across the studied parameter space, showing good agreement with well-established correlations in the literature. Two correlation models were developed: one that provides mixture-specific power-law relationships and another that generalizes the findings into a composition-dependent framework. Both accurately predict Nusselt numbers and pressure drops across the studied parameter space. The findings highlight the trade-off between thermal performance and hydraulic resistance, and they provide practical guidance for optimizing helium-heavy gas combinations in pebble-bed reactor cooling systems.

Progress in Nuclear EnergyVol. 202
Hacettepe University (TR), Sinop University (TR)
Sustainable cities and communities
Openalex Percentile: Top 13%
Heat and Mass Transfer in Porous Media
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Numerical correlations for thermal-hydraulic performance of He-Xe and He-Kr binary mixtures in pebble-bed geometries — Salih Said Çatalbas, Cemil Kocar, et al. · Progress in Nuclear Energy (2026) | TGRS Research Map | TGRS