Kevin J. Albrecht
Sandia National Laboratories
47 Papers
28 Citations
Kevin J. Albrecht is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Particle & Heat exchanger. The author has an hindex of 12, co-authored 36 publications. Previous affiliations of Kevin J. Albrecht include Colorado School of Mines.
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Papers
Design and operating considerations for a shell-and-plate, moving packed-bed, particle-to-sCO2 heat exchanger
Kevin J. Albrecht,Clifford K. Ho +1 more
TL;DR: An efficient modeling methodology for simulating moving packed-bed heat exchangers for the application of particle-to-sCO2 heat transfer in next-generation concentrating solar power (CSP) plants is presented in this article.
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Thermochemical energy storage in strontium-doped calcium manganites for concentrating solar power applications
TL;DR: In this paper, the authors explored the thermodynamics and kinetics of Ca 1 - x Sr x MnO 3 - δ (x = 0.05 and 0.1 ) particles for TCES redox cycles where the particles are heated and reduced in N2 (P O 2 ≈ 10 - 4 ǫ bar) to high temperatures T H up to 1000 ÂC in a solid-particle solar receiver.
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Evaluation of Alternative Designs for a High Temperature Particle-to-sCO2 Heat Exchanger
TL;DR: In this paper, the authors presented an evaluation of alternative particle heat-exchanger designs, including moving packed-bed and fluidized-bed designs, for high-temperature heating of a solar-driven supercritical CO2 (sCO2) Brayton power cycle.
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Heat Transfer Models of Moving Packed-Bed Particle-to-sCO2 Heat Exchangers
Kevin J. Albrecht,Clifford K. Ho +1 more
TL;DR: In this paper, a predictive numerical model based on literature correlations capable of designing moving packed-bed heat exchangers as well as investigating the effects of particle size, operating temperature, and particle velocity (residence time).
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Thermodynamically consistent modeling of redox-stable perovskite oxides for thermochemical energy conversion and storage
TL;DR: In this paper, the authors present an approach for thermodynamically consistent modeling of perovskite redox cycles for thermochemical energy storage and chemical-looping combustion applications. But the approach is fundamentally different than the typical approach of using partial molar properties to perform process flow modeling.
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