The AWESOME programme tracks the main challenges or O&M tasks in wind turbines identified by the European wind academic and industrial community:
Develop better O&M planning methodologies for wind farms to maximize revenues
Optimize wind turbine maintenance through component failure forecasts.
Develop new and more profitable strategies for Wind Energy O&M.
These tasks have been divided into eleven objectives, assigned to students as the subject of their R&D projects and doctoral theses.
Seven of the best European universities in wind energy and a Research Centre (University of Oldenburg, National Technical University of Norway, Technical University of Munich, Loughborough University, University of Strathclyde, University of Castilla La Mancha and CIRCE Foundation), a large O&M services company in the wind sector (Ramboll) and an SME that operates several wind farms (Ruralia) make up the group of beneficiaries that will cooperate with the partners. The latter group consists of an industry association (Asociación Empresarial Eólica), a University (Politecnico de Milán), three large companies in charge of operating the wind farms (DNV GL, Dong Energy, Enel Green Power) and four suppliers of wind energy technology (SGURR, INGETEAM, ALSTOM and SIMIS).
AWESOME network aims to educate 11 early stage researchers in the wind power operation and maintenance (O&M) field by constructing a sustainable training network gathering the whole innovation value chain.
The main EU actors in the field of wind O&M will work together, under the umbrella of the European Wind Energy Academy (EAWE), in order to design a training program coping with the principal R&D challenges related to wind O&M while tackling the shortage of highly-skilled professionals on this area that has been foreseen by the European Commission, the wind energy industrial sector and the academia.
The project will lead to 11 PhD thesis on O&M of wind turbines to cope with the needs of the wind sector in this field.
The consortium is led by CIRCE, who provides wide expertise in O&M, as well as in management of international collaborative research and training projects.
PhD programme on Renewable Energies and Energy Efficiency with the “Citation for Excellence”.
Access to advanced measurement equipment for power performance with high data rates.
Access to the facilities of the LME-CIRCE Laboratory, accredited for Power Performance Characterization of wind turbines and belonging to the MEASNET network.