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Sensitivity analysis of offshore wind farm operation and maintenance cost and availability

Citation Martin, R., Lazakis, I., Barbouch, S. and Johanning, L. Sensitivity analysis of offshore wind farm operation and maintenance cost and availability, Renewable Energy, 85: 1226-1236, 2016. https://doi.org/10.1016/j.renene.2015.07.078.
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Author(s) Martin, R., Lazakis, I., Barbouch, S. and Johanning, L.
Project partner(s) University of Edinburgh, University of Strathclyde, Electricité de France, University of Exeter
Publisher Renewable Energy, 85: 1226-1236
DOI https://doi.org/10.1016/j.renene.2015.07.078
Abstract Operation and Maintenance (O&M) costs are estimated to account for 14%-30% of total Offshore Wind Farm (OWF) project lifecycle expenditure according to a range of studies. In this respect, identifying factors affecting operational costs and availability are vital for wind farm operators to achieve the most profitable decisions. Many OWFs are built in stages and the important factors may not be consistent for the different phases. To address this issue, three OWF case studies are defined to represent two phases and a complete project. An initial qualitative screening sensitivity analysis was conducted to identify the most important factors of O&M affecting operating cost and availability. The study concluded that the important factors for total O&M cost were access and repair costs along with failure rates for both minor and major repairs. For time-based availability, the important factors identified were those related to the length of time conducting the maintenance tasks, i.e. the operation duration and the working day length. It was found that the two stages had similar results, but these were different compared to the complete project. In this case, the results provide valuable information to OWF operators during the project development and decision making process.

  • Three O&M offshore wind farm phases are subject of a screening sensitivity analysis.
  • O&M input factor uncertainty are defined using industry knowledge and literature.
  • The most important factors include failure rates, vessel numbers and costs.
  • The most important factors are not the same across the different phases.
This work was partly funded via IDCORE, the Industrial Doctorate Centre for Offshore Renewable Energy, which trains research engineers whose work in conjunction with sponsoring companies aims to accelerate the deployment of offshore wind, wave and tidal-current technologies
Associated Project(s) ETI-MA2003: Industrial Doctorate Centre for Offshore Renewable Energy (IDCORE)
Associated Dataset(s) No associated datasets
Associated Publication(s)

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