Sustainable sources like geothermal energy and solar energy supply a great deal of heat in the summer, while it is in the winter that we need it. The project will closely examine various technologies for the seasonal underground storage of heat. The goal is to lower the environmental impact of these technologies and to improve their performance through the simulation and monitoring of heat losses in the underground. The optimisation of the design and storage management will also limit these losses. The aim is to use machine learning control techniques to better integrate the heat storage in the systems.
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