Quantitative Modelling to Estimate Offshore Wind Farm Maintenance Costs

  • McMillan, David (Principal Investigator)
  • Dinwoodie, Iain Allan (Researcher)
  • Ault, Graham (Co-investigator)
  • Quail, Francis (Co-investigator)

Project: Internally funded project

Project Details


The project will investigate the major contributors to cost of operation and maintenance (O&M). This will be achieved via literature review and quantitative modeling, making use of publically available reliability, downtime and turbine component cost data. Particularly important in the offshore case is the cost of crane vessels and specialized labour, since these are both currently at a premium and likely to push up the economic risk of large offshore projects. Consideration will also have to be given to sea state and resultant knock on effect on access constraints and logistics.
Effective start/end date30/09/1030/09/13

Research Output

Asset modelling challenges in the wind energy sector

McMillan, D., Dinwoodie, I. A., Wilson, G., May, A. & Hawker, G., 28 Aug 2014, p. SC C1 PS1.

Research output: Contribution to conferencePaper

  • Operational strategies for offshore wind turbines to mitigate failure rate uncertainty on operational costs and revenue

    Dinwoodie, I. A. & McMillan, D., 31 May 2014, In : IET Renewable Power Generation. 8, 4, p. 359–366 8 p.

    Research output: Contribution to journalArticle

    Open Access
  • 13 Citations (Scopus)
    201 Downloads (Pure)

    Wave height forecasting to improve off-shore access and maintenance scheduling

    Dinwoodie, I., Catterson, V. M. & McMillan, D., 21 Jul 2013. 5 p.

    Research output: Contribution to conferencePaper

    Open Access
  • 6 Citations (Scopus)
    119 Downloads (Pure)