A new correlation for convective heat transfer coefficient of water–alumina nanofluid in a square array subchannel under PWR condition

Shamim, Jubair A.; Bhowmik, Palash K.; Chen, Xiangyi; Suh, Kune Y.

doi:10.1016/j.nucengdes.2016.08.015

Cited by 16 publications

(3 citation statements)

References 51 publications

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“…[20] [22] [23] [28] These studies collectively featured the potential of nanofluids to enhance heat transfer in various nuclear reactor types while highlighting challenges that need to be addressed before practical implementation.…”

Section: Discussionmentioning

confidence: 99%

“…They discovered that while nanofluids improved convective heat transfer, they also increased pressure drop, prompting the proposal of a new correction factor to refine existing heat transfer correlations for square array subchannels. This adjustment aimed to better predict heat transfer in these geometries, highlighting the potential of nanofluids for enhanced PWR heat transfer alongside the trade-offs involving increased pumping power [28].…”

Section: Heat Transfer Enhancementmentioning

confidence: 99%

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Nanofluids in nuclear power plants: A comprehensive review

Md. Saadbin Chowdhury,

Mohammad Zoynal Abedin,

Md. Wazihur Rahman

2023

World J. Adv. Res. Rev.

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Nuclear power plants play a significant role in global electricity generation, offering a reliable and low-carbon energy source. Maximizing the efficiency of nuclear power plants is crucial for optimizing energy output and reducing operational costs while ensuring safety and environmental sustainability. This paper provides a comprehensive review of the potential applications of nanofluids in nuclear power plants, with a particular focus on their role in enhancing cooling and heat exchange processes. The increasing demand for electricity production and the need for improved efficiency and safety in nuclear reactors have prompted extensive research in this area. The review explores various types of nuclear reactors, including Light Water Reactors (LWRs) and Heavy Water Reactors (HWRs), and discusses the associated risks and challenges. The paper highlights the promise of incorporating nano-fluids into the cooling and heat exchange systems of nuclear reactors, showcasing their potential to enhance efficiency and safety. It specifically considers nanoparticles such as Al2O3, SiO2, TiO2, CeO2, and CuO for their unique heat transfer properties. The use of nano-fluids in these systems offers the prospect of increasing electricity production while addressing safety concerns. In essence, this comprehensive review underscores the significant potential of nano-fluids for improving heat transfer in nuclear reactors and addresses the growing global demand for electricity production. It emphasizes the need for further scientific research and technological advancements in this field to fully harness the benefits of nanofluids in nuclear power plants.

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Section: Discussionmentioning

confidence: 99%

Section: Heat Transfer Enhancementmentioning

confidence: 99%

Nanofluids in nuclear power plants: A comprehensive review

Md. Saadbin Chowdhury,

Mohammad Zoynal Abedin,

Md. Wazihur Rahman

2023

World J. Adv. Res. Rev.

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“…CFD and related simulation tools were widely used in fluid flow, heat transfer, and biomaterial applications (Khan et al, 2017;Ahammad et al, 2019;Saha et al, 2020;Hasan et al, 2021). Additionally, CFD and related simulation tools were commonly used in various nuclear reactor applications (Mahaffy et al, 2007;Shamim et al, 2016;Sharma et al, 2019;Ahmed, 2021aAhmed, , 2021bBhowmik and Suh, 2021). Researchers performed CHT studies using different multiphysics CFD software.…”

Section: Introductionmentioning

confidence: 99%

CFD validation of condensation heat transfer in scaled-down small modular reactor applications, Part 2: Steam and non-condensable gas

Bhowmik

Schlegel

Kalra

et al. 2021

Exp. Comput. Multiph. Flow

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This paper presents the computational fluid dynamics (CFD) validation and scaling assessment of the condensation heat transfer (CHT) models in the presence of non-condensable gas for the passive containment cooling system (PCCS) of the small modular reactor (SMR). The STAR-CCM+ software with 3D scaled-down SMR containment geometries was used in CFD simulations with steam and non-condensable gas (NCG). The limitations and approximations of the previous studies were resolved to avoid scaling distortion and uncertainties. Air was used as the NCG gas with steam. The multi-component gas model was used to define the steam-NCG mixture, and the condensation-seed parameter was used as the source term for the fluid film model. Three different turbulence models were used to check the heat flux performances and temperature distributions on the coolant side. The heat flux was estimated from the axial coolant bulk temperature, which was identical to the test data reduction method. An implicit-unsteady numerical solver was applied to the conjugate heat transfer models between the gas, liquid, and solid regions. Detailed simulations were performed, and simulation results were validated with the measured parameters experimentally. The condensation heat transfer performance was quantified using non-dimensional numbers and compared for different scaled geometries to identify the scaling distortions.

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