Modelling small-scale trigenerative advanced adiabatic compressed air energy storage for building application

Ghady Dib, Philippe Haberschill, Romuald Rullière and Rémi Revellin

Energy, 2021, vol. 237, issue C

Abstract: The energy storage technology offers an energy balance by saving energy production for periods of higher customer demand. The present study concerns the development of a numerical model to simulate the trigeneration micro advanced adiabatic compressed air energy storage system (AA-CAES) coupled to building model and energy grids. Different design parameters are grouped and therefore an ideal prototype is proposed based on a global numerical sizing tool which in turn based on solving energy balance and heat transfer equations for each components (photovoltaic panels, wind turbines, compressor, turbine, reservoir). This study proposed two modes of operation depending on the electrical grid connection to the building (Autonomous and connected mode operation). From energy coverage point of view, it was noted that the connected mode operation scored more advantage points than the autonomous mode operation in most of the geographical scenarios. In best energetic case configuration the electrical coverage ratio scored 25.52%, the hot coverage ratio was equal to 20% and the cold coverage ratio scored 8% The trigeneration system efficiency was noticed to be a compromise between electrical coverage ratio, hot coverage ratio and cold coverage ratio.

Keywords: Energy storage; Numerical study; Compressed air; Small-scale; Building; Energy grid (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:237:y:2021:i:c:s036054422101817x

DOI: 10.1016/j.energy.2021.121569

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