Abstract
It is important that the impact of the offshore environment on wind turbine reliability is reduced significantly due to the importance of offshore wind deployment to global energy targets. Future development may otherwise be compromised by unsustainable operation and maintenance (O&M) costs. This paper aims to improve the accuracy of offshore O&M models by accounting for any relationship between certain weather characteristics and wind turbine failure modes. This is done using maintenance data from a UK onshore wind farm and weather data from a weather station located nearby. Non- parametric Mixture Models are estimated from the data and they are used to calculate a more accurate, weather dependent, failure rate which will be used in future research for Markov Chain Monte Carlo Simulation. This research will be of particular interest to wind turbine operators and manufacturers.
| Original language | English |
|---|---|
| Title of host publication | Safety, Reliability and Risk Analysis |
| Subtitle of host publication | Beyond the Horizon |
| Editors | R.D.J.M. Steenbergen, P.H.A.J.M. van Gelder, S. Miraglia, A.C.W.M. Vrouwenvelder |
| Place of Publication | Boca Raton |
| Pages | 801-809 |
| Number of pages | 9 |
| Publication status | Published - 18 Sep 2013 |
| Event | European Safety and Reliability Conference, ESREL 2013 - Amsterdam, United Kingdom Duration: 29 Sep 2013 → 2 Oct 2013 |
Conference
| Conference | European Safety and Reliability Conference, ESREL 2013 |
|---|---|
| Country/Territory | United Kingdom |
| City | Amsterdam |
| Period | 29/09/13 → 2/10/13 |
Keywords
- monte carlo methods
- reliability
- markov chain monte carlo simulation
- offshore environments
- offshore winds
- operation and maintenance
- parametric mixture model
- turbine failures
- weather stations
- wind turbine reliabilities