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Modélisation, simulation et optimisation d'un système de stockage à air comprimé couplé à un bâtiment et à une production photovoltaïque

Abstract : Due to the variability and intermittency of renewable energy such as solar technology, its large-scale integration into the micro-grid of energy production remains complicated because the large-scale photovoltaic power plants directly connected to the electricity grid may create instabilities. In addition, this variability of the solar resource does not allow the use of photovoltaics for the stand-alone system. Dealing with these issues, one of the solutions for a deployment of renewables such as photovoltaic is the set-up of energy storage inside the grid. However, the most common technique is based on the use of lithium-ion batteries, which remains not environmentally friendly during the recycling or during the destruction after their use. So, the Compressed Air Energy Storage system (CAES) appears as a solution to this disadvantage. In fact, my thesis aims to study the feasibility of this kind of energy storage technology using a small and medium photovoltaic power plant, and its instant operation to supply electricity to the buildings and the unconnected areas. In this thesis, we present the modeling, simulation, and optimization of a ten-kilowatt compressed air storage system designed to supply instantly a building with real loads. The model performed reflects the dynamic operation of the overall system consisting of the building, the photovoltaic field, the electrical grid, and the compressed air storage module. The optimization carried out allows the sizing of a compressed air storage system with a better efficiency (about 55%). The integration of a heat recovery unit equipped with electrical resistance and the adding of a variable speed compression module allow the building to reach the energy autonomy as a battery system for a standalone site.
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Submitted on : Wednesday, March 6, 2019 - 3:25:07 PM
Last modification on : Wednesday, November 3, 2021 - 4:26:48 AM
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  • HAL Id : tel-02059339, version 1


Sidiki Simpore. Modélisation, simulation et optimisation d'un système de stockage à air comprimé couplé à un bâtiment et à une production photovoltaïque. Physique [physics]. Université de la Réunion, 2018. Français. ⟨NNT : 2018LARE0039⟩. ⟨tel-02059339⟩



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