论文标题
通过共同关注水平和垂直轴风力涡轮机的能量收获
Energy harvesting via co-locating horizontal- and vertical-axis wind turbines
论文作者
论文摘要
最近已经提出了共处水平和垂直轴风力涡轮机作为增强风电场土地区域功率密度的一种可能的方法。在这项工作中，我们旨在研究使用大型仿真（LES）和分析唤醒模型与此类共同点相关的收益。在这方面，三角形簇中的小规模垂直轴风力涡轮机（VAWT）在由水平轴风力涡轮机（HAWTS）组成的有限尺寸风电场中部署。调查并量化了风电场内的尾流以及VAWT对整个风饲效率的影响。结果表明，小规模VAWT的最佳部署对HAWT阵列的性能有忽略的影响，同时增加了总功率。对于此处考虑的特定情况，与仅存在HAWT的基线情况相比，共同定居的风电场的功率输出高达21％。同样，通过与LES结果进行比较，可以表明，此处提出的分析框架能够准确预测包括HAWTS和VAWT在内的风电场的发电。接下来，作为现实世界的应用，使用校准的尾流型号探索了各种风向的霍恩斯（Horns Rev 1）风场中部署小规模VAWT的潜在好处。结果表明，对于本研究中研究的特定VAWT布局，在所有风向上平均风向电源产量增加了约18％。还评估了共同定位的风电场的能源水平成本（LCOE）。模拟发现，VAWTS的安装增加了风电场的年度能源生产，它也增加了LCOE，这是由于a）缺乏操作数据以及b）VAWT和浮动基础的低技术准备水平。
Co-locating horizontal- and vertical-axis wind turbines has been recently proposed as a possible approach to enhance the land-area power density of wind farms. In this work, we aim to study the benefits associated with such a co-location using large-eddy simulation (LES) and analytical wake models. In this regard, small-scale vertical-axis wind turbines (VAWTs) in triangular clusters are deployed within a finite-size wind farm consisting of horizontal-axis wind turbines (HAWTs). Wake flow within the wind farm and the effect of VAWTs on the overall wind-farm efficiency are investigated and quantified. The results show that the optimal deployment of small-scale VAWTs has a negligible impact on the performance of HAWT arrays while increasing the total power production. For the particular cases considered here, the power output of the co-located wind farm increases up to 21% compared to the baseline case in which only the HAWTs are present. Also, by comparing to the LES results, it is shown that the analytical framework proposed here is able to accurately predict the power production of wind farms including both HAWTs and VAWTs. Next, as a real-world application, potential benefits of deploying small-scale VAWTs inside the Horns Rev 1 wind farm are explored for various wind directions using the calibrated wake model. The results show potential for about an 18% increase in the wind-farm power production, averaged over all wind directions, for a particular VAWT layout investigated in this study. The levelized cost of energy (LCoE) for the co-located wind farm is also assessed. The simulations finds that meanwhile the installation of VAWTs increases the annual energy production of the wind farm, it also increases the LCoE, which is caused by a) lack of operational data, and b) a low technology readiness level for VAWTs and floating foundations.
