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FATIGUE ANALYSIS OF AN INNOVATIVE EXTENSIBLE WIND TURBINE BLADE

机译:一种创新的可伸缩风力涡轮机叶片的疲劳分析

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This paper describes the feasibility analyses of an innovative, extensible 'smart' blade technology aims to significantly improve the wind turbine energy production. This innovative 'smart' blade will be extended at low wind speed to harvest more wind energy. It will be retracted to its original shape above rated wind speed, to protect the blade from possible damages under high wind speed. The extended blade, however, will inevitably increase the fatigue damage of the wind turbine blade of which fatigue demand, which often controls the design requirement of wind turbine blade. A rain-flow counting method is used for calculating stress range cycles during turbine blade operation. The analyzes model in the research is built based on a 100 kW utility-scale wind turbine installed on the campus of Case Western Reserve University with a data acquisition system installed on the wind turbine tower to monitor the operation data continuously over the years. In this analyses, the data set consists of four years' wind speed data at 10-minutes time interval and blade rotational speed from March 2014 to February 2015 have been used. The results show that the fatigue damage of this extensible blade increased is acceptable considering its increased power output.
机译:本文介绍了一种创新,可伸展的“智能”刀片技术的可行性分析,旨在显着提高风力涡轮机能源生产。这种创新的“智能”刀片将以低风速延伸以收获更多的风能。它将缩回到其上方的原始形状以上的风速,以保护刀片在高风速下可能的损坏。然而,延长的刀片将不可避免地增加风力涡轮机叶片的疲劳损坏,这通常控制风力涡轮机叶片的设计要求。雨流量计数方法用于计算涡轮叶片操作期间的应力范围循环。该研究中的分析模型是基于100 kW公用事业化风力涡轮机,安装在箱内保护大学校园内,采用安装在风力涡轮机塔上的数据采集系统,多年来不断监控操作数据。在此分析中,数据集包括四年的风速数据,以10分钟的时间间隔,从2014年3月到2015年3月到2015年3月的叶片转速。结果表明,考虑到其增加的功率输出,可以接受这种可伸长叶片的疲劳损坏。

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