openO&M: Robust O&M open access tool for improving operation and maintenance of offshore wind turbines

Athanasios Kolios, Julia Walgern, Sofia Koukoura, Ravi Pandit, Juan Chiachio-Ruano

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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With O&M costs accounting between 25-30% of life-cycle costs, it becomes pertinent to model related activities analytically, accounting for all downtime-contributing factors and at the same time incorporating in the analysis practicalities of operations. Related analysis should be able to account for the accurate prediction of weather data, classification of maintenance interventions and modelling of failure rates, and finally, apply realistic strategies with respect to planned and unplanned maintenance activities. This paper reports the development of the initial version of an open-access tool, which allows the estimation of availability of a given wind farm with specified characteristics throughout its service life, allowing for the simulation of a number of scenarios related to reliability parameters, vessels specifications and availability, number of technicians etc, towards optimising a wind farm maintenance strategy. Here, we present initial results for a reference case study, showing applicability and responsiveness of the tool and sensitivity analysis of the jack-up vessel mobilisation time as a varying parameter as it was found to have a significant impact in the estimated availability.
Original languageEnglish
Title of host publicationProceedings of the 29th European Safety and Reliability Conference.
Place of PublicationSingapore
Number of pages7
Publication statusPublished - 22 Sept 2019
EventEuropean Safety and Reliability Conference - Hannover, Hannover, Germany
Duration: 22 Sept 201926 Sept 2019
Conference number: 29th


ConferenceEuropean Safety and Reliability Conference
Abbreviated titleESREL
Internet address


  • offshore wind energy
  • O&M
  • availability
  • numerical tool
  • open access
  • planned maintenance
  • unplanned maintenance
  • weather forecasting


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