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Communication Dans Un Congrès Proceedings Année : 2019

Parametric Optimisation of a Trigenerative Small Scale Compressed Air Energy Storage System

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Recently, major improvement on compressed air energy storage technology has been made by using the heat of compression for heating energy or using it to preheat the compressed air in the expansion phase and by demonstrating its ability to produce cooling energy. Thus, the trigenerative compressed air energy storage has been introduced. In this paper, we introduce a configuration of trigenerative compressed air energy storage system giving the preference to the electric energy production. The study then focuses on undertaking an optimization study via a parametric analysis considering the mutual effects of parameters. This analysis is applied to a micro-scale application including the existing technological aspects. The parametric study results applied on the hot temperature of the thermal energy storage indicate the possibility to find an optimal solution as a trade-off between system performances and other parameters reflecting its cost. On the contrary, the selection of the maximal storage pressure cannot be achieved by finding a compromise between energy density and system efficiency. A complete study of other design parameters will be addressed in a future publication.
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hal-02384277 , version 1 (28-11-2019)

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Mohamad Cheayb, Sébastien Poncet, Mylène Marin Gallego, Mohand Tazerout. Parametric Optimisation of a Trigenerative Small Scale Compressed Air Energy Storage System. SEEBI 2019: Symposium on Energy Efficiency in Buildings and Industry, CANCAM 2019: 27th Canadian Congress of Applied Mechanics, May 2019, Sherbrooke, Quebec, Canada. pp.5, ⟨10.3390/proceedings2019023005⟩. ⟨hal-02384277⟩
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