论文标题
依赖于操作的风力涡轮机唤醒对雪动流成像揭示的表面动量通量的影响
Operational-dependent wind turbine wake impact on surface momentum flux revealed by snow-powered flow imaging
论文作者
论文摘要
随着风能的不断扩大,可以预期风电场及其周围环境之间的相互作用增加。在史无前例的时空分辨率下,使用自然降雪在公用事业尺度的风力涡轮机之后可视化气流,我们观察到尾流和地面之间的间歇性相互作用,并在这些时期内量化动量通量。值得注意的是,我们确定了两种涡轮依赖性途径,这些途径导致了尾流相互作用增加的时期。来自附近气象塔的数据为在不同大气条件下的每种途径增强通量的强度和持久性提供了进一步的见解。这些途径使我们能够解决以前对风力涡轮机对表面通量影响的冲突研究之间的差异。此外,我们利用结果来生成一张风场对整个美国大陆的地表动量通量潜在影响的地图,为风电场选定决策提供了宝贵的资源。这些发现尤其对农业具有影响,因为作物的生长受到表面通量的显着影响。
As wind energy continues to expand, increased interaction between wind farms and their surroundings can be expected. Using natural snowfall to visualize the air flow in the wake of a utility-scale wind turbine at unprecedented spatio-temporal resolution, we observe intermittent periods of strong interaction between the wake and the ground surface and quantify the momentum flux during these periods. Significantly, we identify two turbine operational-dependent pathways that lead to these periods of increased wake-ground interaction. Data from a nearby meteorological tower provides further insights into the strength and persistence of the enhanced flux for each pathway under different atmospheric conditions. These pathways allow us to resolve discrepancies between previous conflicting studies on the impact of wind turbines on surface fluxes. Furthermore, we use our results to generate a map of the potential impact of wind farms on surface momentum flux throughout the Continental United States, providing a valuable resource for wind farm siting decisions. These findings have implications for agriculture in particular, as crop growth is significantly affected by surface fluxes.