Abstract
Offshore wind is a relatively new industry and it is generally more expensive to generate electricity than many alternative renewable sources. Operation & Maintenance (O&M) makes up a significant part of the overall cost of running Offshore Wind Turbines (OWT). Since the O&M associated responsibility is shared among turbine manufacturers, wind farm operators and the offshore transmission owners, this has inevitably led to lack of information, duplication of effort and less efficiency. Big data analytics is one great technique that will drive future growth. In this paper, an integrated operational system of offshore wind farm is proposed deploying big data analytics. Firstly, the current state of the O&M of offshore wind farm and the big data analytics are introduced. Afterwards, a predictive maintenance model and a maintenance implementation model are proposed, and an integrated operational system is developed incorporating those two models in order to optimize maintenance planning and implementation. Finally, the possible contribution of such a system to a more effective O&M of offshore wind farm is discussed.
Original language | English |
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Title of host publication | Progress in Maritime Technology and Engineering |
Subtitle of host publication | Proceedings of the 4th International Conference on Maritime Technology and Engineering (MARTECH 2018) |
Editors | Carlos Guedes Soares, T.A. Santos |
Place of Publication | Leiden, The Netherlands |
Publisher | CRC Press / Balkema - Taylor & Francis Group |
Chapter | 54 |
Pages | 469-474 |
ISBN (Print) | 978-1-138-58539-3 |
Publication status | Published - 2018 |
Event | MARTECH 2018: 4th International Conference on Maritime Technology and Engineering - Lisbon, Portugal Duration: 7 May 2018 → 9 May 2018 |
Conference
Conference | MARTECH 2018: 4th International Conference on Maritime Technology and Engineering |
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Country/Territory | Portugal |
City | Lisbon |
Period | 7/05/18 → 9/05/18 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.