Recommended practices for wind farm data collection and reliability assessment for O&M optimization
Paper in proceedings, 2017

The paper provides a brief overview of the aims and main results of IEA Wind Task 33. IEA Wind Task 33 was an expert working group with a focus on data collection and reliability assessment for O & M optimization of wind turbines. The working group started in 2012 and finalized the work in 2016. The complete results of IEA Wind Task 33 are described in the expert group report on recommended practices for "Wind farm data collection and reliability assessment for O & M optimization" which will be published by IEA Wind in 2017. This paper briefly presents the background of the work, the recommended process to identify necessary data, and appropriate taxonomies structuring and harmonizing the collected entries. Finally, the paper summarizes the key findings and recommendations from the IEA Wind Task 33 work.

reliability analyses

IEA Wind

reliability data

maintenance optimization

wind turbine

Author

Berthold Hahn

Fraunhofer Institute for Wind Energy Systems IWES

Thomas Welte

SINTEF Energi

Stefan Faulstich

Fraunhofer Institute for Wind Energy Systems IWES

Pramod Bangalore

Chalmers, Computer Science and Engineering (Chalmers)

Cyril Boussion

Delft University of Technology

Keith Harrison

Offshore Renewable Energy Catapult

Emilio Miguelanez-Martin

Atkins Global

Frank O'Connor

ServusNet Informatics Ltd

Lasse Pettersson

Vattenfall

Conaill Soraghan

Offshore Renewable Energy Catapult

Clym Stock-Williams

Energy Research Centre of the Netherlands (ECN)

John Dalsgaard Sørensen

Technical University of Denmark (DTU)

Gerard Van Bussel

Delft University of Technology

Jørn Vatn

Norwegian University of Science and Technology (NTNU)

Energy Procedia

1876-6102 (ISSN)

Vol. 137 358-365

14th Deep Sea Offshore Wind R and D Conference, EERA DeepWind 2017
Trondheim, Norway,

Subject Categories

Other Computer and Information Science

Aerospace Engineering

Reliability and Maintenance

DOI

10.1016/j.egypro.2017.10.360

More information

Latest update

9/6/2018 1