Organization and business
The Fraunhofer Institute for Wind Energy and Energy System Technology IWES is an applied research institute which covers most of the particular scientific topics of wind energy and the integration of renewable energies into energy supply structures.
The main areas of research are:
- Technology and operational management of wind turbines and wind farms
- Dynamics of wind turbines and components
- Component development for rotors, drive trains, and foundations
- Test and evaluation methods for wind turbines and components
- Environmental analysis of wind, sea, and seabed for utilization of wind energy and marine energy
- Control and system integration of decentralized energy converters and storage systems
- Energy management and grid operation
- Energy supply structures and system analysis.
Key skills, knowledge, and experience
Fraunhofer IWES developed a virtual power plant (VPP) in the research project “Regenerative Model Region Harz” (RegModHarz).
It optimizes the schedules of spatial distributed renewable generators for the supply of consumer and offers on the EPEX spot market.
A smart-home solution for the energy management of households was developed in the research project “Model City Mannheim” which aimed at a field test including up to 1000 Bidirectional Energy Management Interfaces (BEMI) in households. Because of strong experience in this field Fraunhofer IWES hosts the development of the “Open Gateway Energy Management Alliance” (OGEMA).
In addition, Fraunhofer IWES has a long experience in renewable energy forecasts with its WPMS forecasting system.
Role in the project
Fraunhofer IWES will participate in the overall system design, by specifying the algorithms for aggregation, forecasting and scheduling.
In the development of the system infrastructure, IWES will participate in the development of object models for a standardised communication. Furthermore, Fraunhofer IWES will participate by providing Wind and PV forecast algorithms and contributing with the design and implementation of an IT aggregator and probabilistic load forecast system for households. These systems build then the foundation for the design and implementation of the intelligent load control and scheduling algorithms.
Finally IWES will support the security design of the SEMIAH.