EERA Geothermal has organised its work within seven subprogrammes:
- SP1 Assessment of Geothermal Resources (coordinator: Eugenio Trumpy, CNR)
- Interdisciplinary 3D geothermal knowledge
- Assessment of resource potential
- Implementation of European Geothermal Information System/Platform
- SP2 Exploration of Geothermal Reservoirs (coordinator: Jan Diedrik van Wees, TNO)
- Enhanced conceptual models and integrated workflows
- Cost effective imaging and integrated geoscience based methods
- Test and validation in natural laboratories
- SP3 Engineering of Geothermal Wells and Resources (coordinator: Martin Saar, ETHZ)
- Methods for geothermal drilling
- Wellbore performance
- Engineering hydrothermal systems
- Hydraulic, Thermal and/or Chemical Stimulation
- Alternative engineered geothermal systems
- Induced microseismicity and monitoring technologies
- SP4 Energy Conversion Systems (coordinator: Paola Bombarda, POLIMI)
- Increasing plant performance, reliability and operation flexibility
- Minimizing environmental impact
- Development and optimization of large scale, high temperature heat pumps
- Widespread adoption of underground thermal energy storage
- Integration of underground thermal energy storage in the energy conversion system and district heating and cooling network
- SP5 Operation of Geothermal Systems (coordinator: Thomas Kohl, KIT)
- Sustainability of reservoir and environmental risk
- Longevity of materials
- Economics and upscaling
- SP6 Sustainability, Environment and Regulatory Framework (coordinator: Francesco Rizzi, SSSUP)
- Identifying business dynamics and business models able to effectively foster geothermal energy development
- Improving project sustainability by effectively managing socio-economic acceptability
- Developing socio-economic and environmental assessment of geothermal installations’ performances
- SP7 Computing and Data Management (coordinator: Florian Wellmann, Fraunhofer IEG)
- Build and share expertise about sustainable research data management plans and strategies
- Disseminate experience about computing and numerical simulation codes
- Exchange knowledge about data science and machine learning aspects
- Foster collaboration for large-scale computing grant applications