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

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

Wang, K. (TU Delft Transport Engineering and Logistics; Wuhan University of Technology)
Jiang, X. (TU Delft Transport Engineering and Logistics)
Negenborn, R.R. (TU Delft Transport Engineering and Logistics)
Yan, X. (Wuhan University of Technology)
Yuan, Y. (Wuhan University of Technology)

Guedes Soares, Carlos (editor)
Santos, T.A. (editor)

2018

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.

http://resolver.tudelft.nl/uuid:6ef727ec-9b66-46d3-9b62-c36f26fac65e

CRC Press / Balkema - Taylor & Francis Group, Leiden, The Netherlands

2018-10-16

978-1-138-58539-3

Progress in Maritime Technology and Engineering: Proceedings of the 4th International Conference on Maritime Technology and Engineering (MARTECH 2018)

MARTECH 2018: 4th International Conference on Maritime Technology and Engineering, 2018-05-07 → 2018-05-09, Lisbon, Portugal

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-care Otherwise 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.

Institutional Repository

conference paper

© 2018 K. Wang, X. Jiang, R.R. Negenborn, X. Yan, Y. Yuan