Experimental investigation on the coolability of nuclear reactor debris beds using seawater

Ahmed, Zayed; Jordan, Chance; Jain, Prashant; Robb, Kevin; Bindra, Hitesh; Eckels, Steven J.

doi:10.1016/j.ijheatmasstransfer.2021.122347

Cited by 9 publications

(2 citation statements)

References 20 publications

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“…This technique is also called swept wavelength interoferometry (SWI) and has a clear advantage in spatial resolution over more traditional Bragg grating-based OFDR sensors. The unique features of this system are that the spatial resolution can be as high as 1 mm, and the data acquisition rate can reach 250 Hz [23,24]. SWI captures the temperature gradients in the bed, which is essential to understand this problem.…”

Section: Optical Frequency Domain Reflectometrymentioning

confidence: 99%

The Thermal Response of a Packed Bed Thermal Energy Storage System upon Saturated Steam Injection Using Distributed Temperature Sensing

2022

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The effectiveness of a thermal energy storage (TES) system is typically characterized with the help of thermal stratification or temperature gradients along the direction of heat injection, which is typically the flow direction of heat transfer fluid. The steepness of temperature gradients are a direct indicator of the effectiveness or efficiency of the heat storage or dispatch process. The temperature gradient evolution along the packed bed of ceramic particles upon saturated steam injection is presented in this work. Distributed temperature sensing based on optical frequency domain reflectometry was deployed in a packed bed of ceramic particles to capture the thermal front evolution in the axial direction. The physical processes accompanying steam injection in packed beds are complex due to phase change, transitioning two-phase flow, and changes in condensate accumulation. Therefore, the variation of thermal response of the TES system for various steam injection flow rates was experimentally studied using a high-resolution distributed temperature sensing system in a chemically inert alumina particle-packed bed. Distinct zones of different heat transfer modes were observed during the steam injection experiments. A distinct conduction zone, evident from diffuse thermal fronts, was observed at low flow rates, and these thermal gradients became sharper as the flow rate increased. The diffuse thermal fronts in the heat storage media suggest a low exergy efficiency of the TES system, as energy losses started initiating before a significant fraction of the bed was saturated with steam.

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Section: Optical Frequency Domain Reflectometrymentioning

confidence: 99%

The Thermal Response of a Packed Bed Thermal Energy Storage System upon Saturated Steam Injection Using Distributed Temperature Sensing

2022

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“…Due to the ease of measuring temperature in systems through thermocouples, IR cameras (Gould et al, 2017), and more advanced methods such as distributed fiber-optic optical sensors (Ward et al, 2019;Ahmed et al, 2022), and the importance of temperature modeling for engineering applications, many authors have explored the effectiveness of POD for modeling temperature fields within systems. Jiang et al trained a POD model using surface temperature measurements to study conduction in a solid body and applied the model to develop a sparse sensing technique (Jiang et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Thermal field reconstruction and compressive sensing using proper orthogonal decomposition

Matulis,

Bindra

2024

Front. Energy Res.

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Model order reduction allows critical information about sensor placement and experiment design to be distilled from raw fluid mechanics simulation data. In many cases, sensed information in conjunction with reduced order models can also be used to regenerate full field variables. In this paper, a proper orthogonal decomposition (POD) inferencing method is extended to the modeling and compressive sensing of temperature, a scalar field variable. The method is applied to a simulated, critically stable, incompressible flow over a heated cylinder (Re = 1000) with Prandtl number varying between 0.001 and 50. The model is trained on pressure and temperature data from simulations. Field reconstructions are then generated using data from selected sensors and the POD model. Finally, the reconstruction error is evaluated across all Prandtl numbers for different numbers of retained modes and sensors. The predicted trend of increasing reconstruction accuracy with decreasing Prandtl number is confirmed and a Prandtl number/sensor count error matrix is presented.

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Coupling of MELCOR with surrogate model for quench estimation of conical debris beds

Wang,

2025

Annals of Nuclear Energy

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Experimental investigation on the coolability of nuclear reactor debris beds using seawater

Cited by 9 publications

References 20 publications

The Thermal Response of a Packed Bed Thermal Energy Storage System upon Saturated Steam Injection Using Distributed Temperature Sensing

The Thermal Response of a Packed Bed Thermal Energy Storage System upon Saturated Steam Injection Using Distributed Temperature Sensing

Thermal field reconstruction and compressive sensing using proper orthogonal decomposition

Coupling of MELCOR with surrogate model for quench estimation of conical debris beds

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