Wind Turbine Failures - Tackling current Problems in Failure Data Analysis

被引:109
作者
Reder, M. D. [1 ]
Gonzalez, E. [1 ]
Melero, J. J. [1 ]
机构
[1] Univ Zaragoza, CIRCE, C Mariano Esquillor 15, Zaragoza 50018, Spain
来源
SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2016) | 2016年 / 753卷
关键词
D O I
10.1088/1742-6596/753/7/072027
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The wind industry has been growing significantly over the past decades, resulting in a remarkable increase in installed wind power capacity. Turbine technologies are rapidly evolving in terms of complexity and size, and there is an urgent need for cost effective operation and maintenance (O&M) strategies. Especially unplanned downtime represents one of the main cost drivers of a modern wind farm. Here, reliability and failure prediction models can enable operators to apply preventive O&M strategies rather than corrective actions. In order to develop these models, the failure rates and downtimes of wind turbine (WT) components have to be understood profoundly. This paper is focused on tackling three of the main issues related to WT failure analyses. These are, the non-uniform data treatment, the scarcity of available failure analyses, and the lack of investigation on alternative data sources. For this, a modernised form of an existing WT taxonomy is introduced. Additionally, an extensive analysis of historical failure and downtime data of more than 4300 turbines is presented. Finally, the possibilities to encounter the lack of available failure data by complementing historical databases with Supervisory Control and Data Acquisition (SCADA) alarms are evaluated.
引用
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页数:11
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