WindEurope hosted its annual Conference & Exhibition (https://windeurope.org/confex2017/) from 28-30 November 2017 in Amsterdam. This event is one of the biggest gatherings of the wind energy community worldwide and attracted more than 7300 participants, 280 exhibitors and 400 presenters. The conference consisted of 39 sessions with 190 speakers and 200 posters.

 This year, ‘Supply chain, logistics and O&M’ evolved as the most discussed topic. The AWESOME consortium contributed to this with five oral and one poster presentations in four different sessions, namely ‘To extend lifetime or to repower: the options, risks and benefits’, ‘Big data and data security in wind O&M’, ‘Predicting fatigue and lifetime of operating wind assets’ and ‘Using data to optimise performance’. All sessions received large attention confirming the interest of the wind industry for the topics of lifetime extension, failure prediction, big data and O&M optimisation.

 Estefania Artigao Andicoberry, PhD student of the Wind Energy and Power Systems section, presented her work on ‘Condition monitoring of a wind turbine doubly-fed induction generator through current signature analysis’. In this study, an in-service wind turbine equipped with a doubly-fed induction generator (DFIG) has been analysed through current signature analysis. Faulty components related with gearbox damage have been identified on the spectral analysis of stator currents, and electrical rotor unbalance from the rotor analysis. The objective of the work is to contribute towards condition monitoring of wind turbines and hence to optimise O&M related activities. Learn more in the paper.

 More information about the contributions of the AWESOME Project in the Conference can be found in the following link.