Probabilistic failure rate model of a tidal turbine pitch system
| Autor: | Jonathan Shek, Fraser J. Ewing, Claudio Bittencourt Ferreira, Philipp R. Thies |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
060102 archaeology
Renewable Energy Sustainability and the Environment business.industry Computer science 020209 energy Probabilistic logic Failure rate 06 humanities and the arts 02 engineering and technology Technology readiness level Turbine Reliability engineering 0202 electrical engineering electronic engineering information engineering Physics of failure 0601 history and archaeology Sensitivity (control systems) business Tidal power Reliability (statistics) |
| Zdroj: | Renewable Energy. 160:987-997 |
| ISSN: | 0960-1481 |
| Popis: | Accurate reliability prediction for tidal turbines is challenging due to scarce reliability data. To achieve commercialization, it is widely acknowledged that reductions in maintenance costs are vital and robust component reliability assessments can help drive this. For established technologies, reliability prediction either involves a statistical assessment of historical failure data, or a physics of failure approach based on dedicated accelerated testing. However, for low/mid Technology Readiness Level tidal developers these common approaches are difficult. Thus, developers require a method of making reliability predictions for components in the absence of tidal turbine specific failure data and physical testing results. This paper presents a failure rate model for a tidal turbine pitch system using empirical Physics of Failure equations, with associated uncertainties. Critical component design parameters are determined and their effects on the failure rate investigated via a sensitivity analysis. The modelled failure rate is then compared with wind turbine failure data from a series of turbines. The tidal turbine failure rate is approximately 50% lower, however high reliability requirements mean this is unlikely to be acceptable. The developed model can assist turbine developers in estimating failure rates and determining reliability critical design parameters for the failure critical pitch system. |
| Databáze: | OpenAIRE |
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