Mr. Dallin Stout Profile

Dallin Stout

at Boise State Univ.

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Proceedings Article | 3 October 2022 Presentation + Paper

Characterizing particle-based thermal storage performance using optical methods for use in next generation concentrating solar power plants

Javier Corona, Dallin Stout, Todd Otanicar, Nirmala Kandadai

Proceedings Volume 12220, 122200F (2022) https://doi.org/10.1117/12.2632268

KEYWORDS: Particles, Signal detection, Temperature metrology, Modulation, Thermography, Sensors, Photodetectors, Optical storage, Laser sources, Heat flux

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Concentrating Solar Power (CSP) generation is an attractive option for low-emission power generation; however, the high costs of thermal storage associated with concentrating solar create a large barrier for their use and adaptation into modern life. Lowering their operation costs, while maintaining high thermal storage and transfer performance is essential. Solid particle-based heat exchange systems can reduce CSP cost but are often less efficient. Efforts to increase their performance have led to use of binary size particle mixes. Presented is an optical-based thermal analysis technique used to measure near-wall thermal conductivity of particle beds essential in determining their heat exchanger efficiency. Modulated Photothermal Radiometry is used to make dynamic temperature measurements, allowing for the extraction of the most relevant thermal properties like thermal conductivity, specific heat, and effusivity. The system uses a modulated laser source causing a damped periodic heat flux, resulting in a frequency and thermal property dependent surface temperature, of which is measured using radiometry. Lock-In techniques are used to extrapolate the amplitude of the signal. Plotting the amplitude against the root angular frequency allows for effusivity measurement by ratio to a known sample. Using specific heat measurements from literature and density measurements, the thermal conductivity of the particle mixes can be calculated. The simplicity of MPTR to probe through the depth of the bed is ideal for use in CSP for dynamic thermal performance monitoring.

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