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Lasting and efficient geothermal systems

While Ground Source Heat Pump (GSHP) systems represents one of the most dynamic growth on the renewable energy market, the many uncertainties and necessary assumptions related to their design make ensuring the performance and optimal return on investment of those systems still challenging.

Combining innovative Machine Learning–based approaches with a practical engineering methodology, GeoBrain develops tools to characterise the specificity of each system and tackle efficiently their design and long term performance.

Integrating advanced engineering and data science skills, those tools offer solutions for cost-efficient, sustainable and reliable geothermal systems.

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The GeoBrain project is currently hosted at the Soil Mechanics Laboratory at EPFL.