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Offshore wind turbine sub-assembly failure rates through time

机译:海上风力发电机子组件的失效率随时间变化

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摘要

O&M costs can make up to 30% of the lifetime CoE of an offshore wind farm [1]. As a means of reducing this cost operators and O&M providers need a greater understanding of what is driving that O&M cost. Failure rates of wind turbines and their components are a key driver of O&M costs. Past papers have modelled O&M costs assuming a fixed average failure rate for wind turbine subsystems [2]. This work aims to determine if it is accurate to assume a fixed failure rate or if a failure rate distribution through time can be provided to allow for more accurate O&M cost modelling and in turn CoE modelling. This paper shows the results of an analysis of offshore wind turbine annual failure rates over an 8 year period. The analysis is based on around 350 modern multi MW offshore turbines located in 5-10 offshore wind farms throughout Europe. The literature review for this paper indicated that a constant average failure rate should only be used if the shape parameter of the failure distribution is around 1. However results from the failure rate analysis in this paper have shown that in many cases a constant failure rate is not correct for O&M Modelling.
机译:O&M成本可占海上风电场整个生命周期CoE的30%[1]。作为降低成本的一种方法,运营商和运维提供商需要对导致运维成本增加的原因有更深入的了解。风力涡轮机及其组件的故障率是运维成本的关键驱动因素。过去的论文在假设风力涡轮机子系统的平均故障率固定的情况下对运维成本进行了建模[2]。这项工作旨在确定假设固定故障率是否准确,或者是否可以提供按时间划分的故障率分布,以允许进行更准确的O&M成本建模以及CoE建模。本文显示了过去8年中海上风机年故障率的分析结果。该分析基于位于欧洲5-10个海上风电场的约350台现代多兆瓦海上风机。本文的文献综述表明,仅当故障分布的形状参数约为1时,才应使用恒定的平均故障率。但是,本文的故障率分析结果表明,在许多情况下,恒定的故障率是对于O&M建模不正确。

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