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https://doi.org/10.1063/1.5117...
Article . 2019 . Peer-reviewed
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CFD modeling and experimental validation of the TES unit integrated into the world’s first underground AA-CAES pilot plant

Authors: Simone A. Zavattoni; Lukas Geissbühler; Giw Zanganeh; Andreas Haselbacher; Aldo Steinfeld; Maurizio C. Barbato;

CFD modeling and experimental validation of the TES unit integrated into the world’s first underground AA-CAES pilot plant

Abstract

In the present study, a computational fluid dynamics approach has been developed with the aim of replicating the thermo-fluid dynamics behavior of the high-temperature thermal energy storage (TES) system integrated into the world’s first underground advanced adiabatic compressed-air energy storage (AA-CAES) pilot plant. A 120 m long section of an unused tunnel (4.9 m diameter) under the Swiss Alps (Canton of Ticino) was exploited as air reservoir. A 12 MWhth packed rock bed TES system, directly integrated into the pressure chamber, was used to store and release the thermal energy produced during air compression. Several experimental tests were performed operating the pilot plant under different charge/discharge cycles with air temperature up to 550°C and a maximum pressure of 7 bars gauge. The numerical model developed was satisfactorily validated against experimental data demonstrating its accuracy in replicating the thermo-fluid dynamics behavior of the experimental TES unit. The performance of the TES unit were also evaluated in terms of energy and exergy efficiencies resulting to be in the range of 0.77-0.91 and 0.72-0.89 respectively.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Top 10%
Average
bronze