Enhancing Thermal–Hydraulic Performance in Nuclear Reactor Subchannels with Al 2 O 3 Nanofluids: A CFD Analysis

Mohammad A. I. Sardar (), Mushfiqur Rahman and Philip Rubini
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Mohammad A. I. Sardar: School of Engineering, University of Hull, Hull HU6 7RX, UK
Mushfiqur Rahman: School of Engineering, University of Hull, Hull HU6 7RX, UK
Philip Rubini: School of Engineering, University of Hull, Hull HU6 7RX, UK

Energies, 2024, vol. 17, issue 21, 1-23

Abstract: In this paper, the performance of aluminum-based nanofluids with a possible application in pressurized water reactors is numerically investigated. A 605 mm long 4-rod array square (2 × 2) subchannel geometry with a uniform heat flux of 50 kW/m 2 has been used in CFD simulation. This analysis has been carried out using the RNG k-epsilon turbulence model with standard wall function in ANSYS FLUENT 2022R1. The impact of various flow conditions and nanofluid concentrations has been examined. The effects of variable velocities on nanofluid performance have been studied using different Reynolds numbers of 20,000, 40,000, 60,000, and 80,000. The analysis was conducted with Al 2 O 3 /water nanofluid concentrations of 1%, 2%, 3%, and 4%. A comparison of the Nusselt number based on five different correlations was conducted, and deviations from each correlation were then presented. The homogeneous single-phase mixer approach has been adopted to model nanofluid characteristics. The result shows a gradual enhancement in the heat transfer coefficient with increasing volume concentrations and Reynolds numbers. A maximum heat transfer coefficient has been calculated for nanofluid at maximum volume concentrations (ϕ = 4%) and highest velocities (Re = 80,000). Compared to the base fluid, heat transfer was enhanced by a factor of 1.09 using 4% Al 2 O 3 . The Nusselt number was calculated with a minimal error of 3.62% when compared to the Presser correlation and the maximum deviation has been found from the Dittus–Boelter correlation (13.77%). Overall, the findings suggest that aluminum-based nanofluids could offer enhanced heat transfer capabilities in pressurized water reactors.

Keywords: nanofluid; base fluid; ANSYS; numerical analysis; heat transfer; Al 2 O 3; Reynolds number; Nusselt number; pressurized water reactor; heat transfer coefficient (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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