An integrated operational system to reduce O&M cost of offshore wind farms

Kai Wang, Xiaoli Jiang, Rudy Negenborn, X. Yan, Y. Yuan

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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 languageEnglish
Title of host publicationProgress in Maritime Technology and Engineering
Subtitle of host publicationProceedings of the 4th International Conference on Maritime Technology and Engineering (MARTECH 2018)
EditorsCarlos Guedes Soares, T.A. Santos
Place of PublicationLeiden, The Netherlands
PublisherCRC Press / Balkema - Taylor & Francis Group
Chapter54
Pages469-474
ISBN (Print)978-1-138-58539-3
Publication statusPublished - 2018
EventMARTECH 2018: 4th International Conference on Maritime Technology and Engineering - Lisbon, Portugal
Duration: 7 May 20189 May 2018

Conference

ConferenceMARTECH 2018: 4th International Conference on Maritime Technology and Engineering
CountryPortugal
CityLisbon
Period7/05/189/05/18

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