A model for availability growth with application to new generation offshore wind farms

• Published in: Reliability engineering & system safety 2016-08, Vol.152, p.83-94
• Main Authors: Zitrou, Athena, Bedford, Tim, Walls, Lesley
• Format: Article
• Language: English
• Subjects: Availability; Availability growth; Complex systems; Condition monitoring; Mathematical models; Modelling; Offshore energy sources; Offshore engineering; Offshore wind farm; Risk; Systemic risk; Wind power
• ISSN: 0951-8320; 1879-0836
• DOI: 10.1016/j.ress.2015.12.004

A model for availability growth is developed to capture the effect of systemic risk prior to construction of a complex system. The model has been motivated by new generation offshore wind farms where investment decisions need to be taken before test and operational data are available. We develop a generic model to capture the systemic risks arising from innovation in evolutionary system designs. By modelling the impact of major and minor interventions to mitigate weaknesses and to improve the failure and restoration processes of subassemblies, we are able to measure the growth in availability performance of the system. We describe the choices made in modelling our particular industrial setting using an example for a typical UK Round III offshore wind farm. We obtain point estimates of the expected availability having populated the simulated model using appropriate judgemental and empirical data. We show the relative impact of modelling systemic risk on system availability performance in comparison with estimates obtained from typical system availability modelling assumptions used in offshore wind applications. While modelling growth in availability is necessary for meaningful decision support in developing complex systems such as offshore wind farms, we also discuss the relative value of explicitly articulating epistemic uncertainties. •A new model is developed for system availability growth.•The model is motivated by and applied to the offshore wind industry.•The general model is applicable to systems where availability performance growth is important.•Systemic risks on system performance are aggregated from subassembly level modelling.•Availability-informed capability can be predicted under different intervention scenarios.