论文标题
风力涡轮机累积唤醒的分析解决方案
Analytical solution for the cumulative wake of wind turbines in wind farms
论文作者
论文摘要
本文解决了风电场阵列中涡轮机的质量和动量的大概形式。该解决方案是一种相当简单的显式关系,可预测具有任意布局的风电场中的流速度分布。由于该模型是通过直接解决受到上风涡轮机唤醒的涡轮机的流程方程来获得的,因此不需要临时叠加技术来预测风电场的流动。风电场阵列的一组大涡模拟(LES)用于检查自相似性以及所谓的风电场涡轮唤醒动量赤字的有效性。在风电场中,有或不存在一些特定的涡轮机,进行模拟。这使我们能够系统地研究开发分析模型的一些假设。还提出了修改的动量赤字保护版本,以便在短距离距离以及在风场深处的涡轮机的远处提供稍微更好的结果。模型预测在全效率和部分效果条件下涡轮机的LES数据得到了验证。尽管我们的结果突出了捕获相邻涡轮柱之间的流动加速的局限性,但该模型总体上可以预测适度大小的风电场的流量分布。最后,本文采用新模型来提供有关常见唤醒叠加方法准确性的见解。
This paper solves an approximate form of conservation of mass and momentum for a turbine in a wind farm array. The solution is a fairly simple explicit relationship that predicts the streamwise velocity distribution within a wind farm with an arbitrary layout. As this model is obtained by solving flow governing equations directly for a turbine that is subject to upwind turbine wakes, no ad hoc superposition technique is needed to predict wind farm flows. A suite of large-eddy simulations (LES) of wind farm arrays is used to examine self-similarity as well as validity of the so-called conservation of momentum deficit for turbine wakes in wind farms. The simulations are performed with and without the presence of some specific turbines in the wind farm. This allows us to systematically study some of the assumptions made to develop the analytical model. A modified version of the conservation of momentum deficit is also proposed to provide slightly better results at short downwind distances, as well as in the far wake of turbines deep inside a wind farm. Model predictions are validated against the LES data for turbines in both full-wake and partial-wake conditions. While our results highlight the limitation in capturing the flow speed-up between adjacent turbine columns, the model is overall able to acceptably predict flow distributions for a moderately sized wind farm. Finally, the paper employs the new model to provide insights on the accuracy of common wake superposition methods.