O&M Cost-Based FMECA: Identification and Ranking of the Most Critical Components for 2-4 MW Geared Offshore Wind Turbines

O&M Cost-Based FMECA: Identification and Ranking of the Most Critical Components for 2-4 MW Geared Offshore Wind Turbines
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DOI:
10.1088/1742-6596/1102/1/012039
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发表时间:
2018
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Conference Series
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Cevasco D
Cevasco D
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Cevasco D

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到目前为止,海上风力涡轮机(WTS)的研究重点主要集中在如何将其资本成本降至最低,但运营和维护(O&M)可能占海上风力发电场生命周期成本的三分之一。资产修理/重置费用和维护业务后勤费用是业务和维护费用的两大构成部分。虽然前者将随着更大结构的使用而上升,但后者可以显著增加,这取决于组件的可靠性,因此需要执行计划外维护操作。利用一组离岸WTS(代表离岸使用最多的配置)的可靠性数据,首先,已经推导出部件故障在O&M成本中的份额,以及它们与某些O&M参数的相关性的估计。然后,通过基于成本的故障模式影响和危害度分析(FMECA),并通过运维成本优先级数对部件进行排序,识别出对运维非计划作业最关键的部件。
To date, the focus of the research on offshore wind turbines (WTs) has been mainly on how to minimise their capital cost, but Operation and Maintenance (O&M) can represent up to a third of the lifetime costs of an offshore wind farm. The cost for the assets repair/replacement and for the logistics of the maintenance operations are two of the biggest contributors to O&M expenses. While the first is going to rise with the employment of bigger structures, the latter can significantly increase dependently on the reliability of the components, and thus the necessity to performed unscheduled maintenance operations. Using the reliability data for a population of offshore WTs (representing the configurations most employed offshore), first, the share of the components failures to the O&M cost, together with an estimation of their dependency on some O&M parameters has been derived. Then, by following a cost-based Failure Modes Effects and Criticality Analysis (FMECA), and ranking the components through O&M cost priority number, the most critical components for O&M unplanned operations are identified.
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