R&D programme

The main focus of our R&D programme is digitalisation and circularity:

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.

Recycling

Together with IWK at HSR, we are testing new compsite materials for more environmentally-friendly rotor blades. Find out more here.

Dr. Sarah Barber
Oberseestrasse 10
CH-8640 Rapperswil SG
+41 (0)55 222 42 62

sarah.barber(at)hsr.ch