With renewable energy and wind energy in particular becoming mainstream means of energy production, the reliability aspect of wind turbines and their sub-assemblies has become a topic of interest for owners and manufacturers of wind turbines. Operation and Maintenance (O&M) costs account for more than 25% of total costs of onshore wind projects and these costs are even higher for offshore installations. Effective management of O&M costs depends on accurate failure prediction for turbine sub-assemblies. There are numerous models that predict failure times and O&M costs of wind farms. All these models have inputs in the form of reliability parameters. These parameters are usually generated by researchers using field failure data. There are several databases that report the failure data of operating wind turbines and researches use these failure data to generate the reliability parameters through various methods of statistical analysis. However, in order to perform the statistical analysis or use the results of the analysis, one must understand the underlying assumptions of the database along with information about the wind turbine population in the database such as their power rating, age, etc. In this work, we analyze the relevant assumptions and discuss what information is required from a database in order to improve the statistical analysis on wind turbines’ failure data.
ASME 2018 Power Conference collocated with the ASME 2018 12th International Conference on Energy Sustainability and the ASME 2018 Nuclear Forum
June 24–28, 2018
Lake Buena Vista, Florida, USA
Conference Sponsors:
- Power Division
- Advanced Energy Systems Division
- Solar Energy Division
- Nuclear Engineering Division
ISBN:
978-0-7918-5139-5
PROCEEDINGS PAPER
Overview of Wind Turbine Field Failure Databases: A Discussion of the Requirements for an Analysis
Roozbeh Bakhshi
,
Roozbeh Bakhshi
University of Maryland, College Park, MD
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Peter Sandborn
Peter Sandborn
University of Maryland, College Park, MD
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Author Information
Roozbeh Bakhshi
University of Maryland, College Park, MD
Peter Sandborn
University of Maryland, College Park, MD
Paper No:
POWER2018-7311, V001T06A012; 5 pages
Published Online:
October 4, 2018
Citation
Bakhshi, Roozbeh, and Sandborn, Peter. "Overview of Wind Turbine Field Failure Databases: A Discussion of the Requirements for an Analysis." Proceedings of the ASME 2018 Power Conference collocated with the ASME 2018 12th International Conference on Energy Sustainability and the ASME 2018 Nuclear Forum. Volume 1: Fuels, Combustion, and Material Handling; Combustion Turbines Combined Cycles; Boilers and Heat Recovery Steam Generators; Virtual Plant and Cyber-Physical Systems; Plant Development and Construction; Renewable Energy Systems. Lake Buena Vista, Florida, USA. June 24–28, 2018. V001T06A012. ASME. https://doi.org/10.1115/POWER2018-7311
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