The European Academy of Wind Energy (EAWE) organises a yearly PhD seminar, providing students and supervisors from all over Europe to exchange information and experience on research in wind energy. Mainly organised by PhD students at the institution in charge, it includes slots for PhD students to present their activities in talks and poster exhibition.
The 13th edition was organised at Cranfield University between the 20th and 22nd of September 2017, and some AWESOME researchers participated actively in the Seminar’s organisation, as part of the Junior Scientific Committee of the EAWE, reviewing abstracts and chairing sessions. Helene Seyr (ESR2 – NTNU) was responsible for the “New Concepts” session while Maik Reder (ESR 11 – CIRCE) was chairing the session on “Turbine/Farm Modelling”. Elena González (ESR1 – CIRCE) was responsible for both sessions on “Resource Assessment” and “O&M and Condition Monitoring”.
Apart from the organisation, the AWESOME consortium played an important role at the Seminar, contributing with three oral and six poster presentations.
A detailed list of the presentations given can be found here below:
Elena González (ESR1): Improved Wind Turbine Performance Monitoring by the Use of Advanced Techniques and High-Frequency SCADA Data
Ravi Kumar Pandit (ESR 6): Gaussian Process for Wind Turbine Condition Monitoring Purposes
Estefania Artigao (ESR 7): Condition Monitoring of Wind Turbine Doubly-fed Induction Generators
Laura Valldecabres (ESR 2): Optimizing LIDAR measurements for very short-term power forecasting using a LIDAR simulator
Helene Seyr (ESR 3): Is it possible to generate weather time series for O&M planning on different time scales than the available data?
Jannis Tautz-Weinert (ESR 4): How can operational data be used for Condition Monitoring of wind turbines?
Lisa Ziegler (ESR 8): Strategies for low-cost assessment of lifetime extension of offshore wind monopiles
Lorenzo Colone (ESR 9): Improvement to condition based maintenance of wind turbine components
Maik Reder (ESR11): Wind Turbine Reliability Modelling based on Weather Conditions
More information can be found at: http://www.eawe.eu/