Recommended practices for wind farm data collection and reliability assessment for O&M optimization

Berthold Hahn*, Thomas Welte, Stefan Faulstich, Pramod Bangalore, Cyril Boussion, Keith Harrison, Emilio Miguelanez-Martin, Frank O'Connor, Lasse Pettersson, Conaill Soraghan, Clym Stock-Williams, John Dalsgaard Sørensen, Gerard van Bussel, Jorn Vatn

*Corresponding author for this work

    Research output: Contribution to journalConference articleResearchpeer-review

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    Abstract

    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. (C) 2017 The Authors. Published by Elsevier Ltd.
    Original languageEnglish
    JournalEnergy Procedia
    Volume137
    Pages (from-to)358-365
    ISSN1876-6102
    DOIs
    Publication statusPublished - 2017
    Event14th Deep Sea Offshore Wind R&D Conference - Radisson Blu Royal Garden Hotel, Trondheim, Norway
    Duration: 18 Jan 201720 Jan 2017
    Conference number: 14
    https://www.sintef.no/projectweb/eera-deepwind/eera-deepwind-conference/previous-conferences/presentations-and-posters2/

    Conference

    Conference14th Deep Sea Offshore Wind R&D Conference
    Number14
    LocationRadisson Blu Royal Garden Hotel
    Country/TerritoryNorway
    CityTrondheim
    Period18/01/201720/01/2017
    Internet address

    Bibliographical note

    1876-6102 © 2017 The Authors. Published by Elsevier Ltd.

    Keywords

    • IEA Wind
    • Reliability data
    • Reliability analyses
    • Maintenance optimization
    • Wind turbine

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