R&D programme

The main focus of our R&D programme is digitalisation and circularity:
Digitalisation
Machine Learning
- "Concept for The Swiss Wind Energy Machine Learning Collaboration Platform" (SFOE) - read more here.
- "Concept for The Swiss Wind Atlas Platform" (BFE) - read more here.
- "Machine Learning for Wind Turbine Power Curve Prediction" (internal project).
Computational Fluid Dynamics
- "A new process for the pragmatic choice of wind models in complex terrain" (SFOE) - read more here.
- "Comparison metrics simulation challenge" (SFOE) - read more here.
- "Evaluation of the Lattice Boltzmann Method for wind modelling in complex terrain" (internal project).
- "Optimisation of the Skypull Airborne Wind System" (Innosuisse) - read more here.
- "Improvement of design tools for Vertical Axis Wind Turbines" (internal project).
Internet of Things
- "Aerosense: A novel MEMS-based surface pressure and acoustic smart measurement system for wind turbines" (BRIDGE Discovery) - more here.
Microgrids
- "Feasibility study for 100% renewable energy microgrids with medium-sized wind turbines in Switzerland" (financed by the Energieagentur St. Gallen) - Download presentation from the Wind Energy Science Conference 2019 here.
Circularity
Contact
Dr. Sarah Barber
Oberseestrasse 10
CH-8640 Rapperswil SG
+41 (0)55 222 42 62