Database for validation of design load extrapolation techniques
Database for validation of design load extrapolation techniques
复制标题
用于验证设计载荷外推技术的数据库
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
P. Moriarty
中科院分区：
文献类型：
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作者：
P. Moriarty
用于预测长期风力涡轮机载荷的外推技术产生了高度可变的载荷估计，这取决于各个设计师的实施。为了减少这种变化，更精确的定义和验证这些技术是必要的。作为测试风力涡轮机设计中使用的载荷外推技术的更广泛努力的一部分，创建了两个数据集。第一个数据集是作为设计人员用来根据风力涡轮机设计标准外推载荷的典型示例创建的。第二个数据集是一系列长达一年的模拟，可用于量化外推方法的准确性。由于大量的模拟，采取了小心，不要复制随机抽样在个别时间序列。此外，网格计算架构被用来在合理的时间范围内运行模拟。确定了载荷最高处的风速，该风速随载荷类型而变化。确定主导风速对于确保在这种速度下进行足够数量的模拟非常重要，因为这种速度通常会影响外推载荷。面内载荷和挠度往往由切出风速附近的高风速主导。面外载荷和挠度最受接近额定风速的风的影响。一些负载受到一系列风速的影响。由高风速主导的载荷在极值中具有更大的可变性，这可能是风的极大变化的反映，并且在这种速度下对更高的风能量含量具有更大的敏感性。«少
Extrapolation techniques used for predicting long-term wind turbine loads have produced highly variable loading estimates dependent on the individual designer implementation. To reduce such variability, more precise definition and validation of these techniques are necessary. As part of a wider effort to test loads extrapolation techniques used in wind turbine design, two data sets were created. The first data set was created as an example typical of what designers use to extrapolate loads according to wind turbine design standards. The second data set was a series of year-long simulations that could be used to quantify the accuracy of extrapolation methods. Due to the large number of simulations, care was taken not to reproduce random samplings in individual time series. Additionally, a grid computing architecture was used to run the simulations in a reasonable time frame. The wind speeds where loads were highest were identified, which varied with loading type. The identification of dominant wind speeds is important to ensure an adequate number of simulations at such speeds, which often influence extrapolated loads. In-plane loads and deflections tended to be dominated by high wind speeds near cut-out wind speed. Out-of-plane loads and deflections were most influenced by winds that were nearmore » the rated wind speed. Some loads were influenced by a range of wind speeds. The loads dominated by high wind speeds had greater variability in the extreme values, which could be a reflection of the greatly varying wind and also greater sensitivity to higher energy content of the wind at such speeds.« less