Refining the airborne wind energy system power equations with a vortex wake model

IF 3.6 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY Wind Energy Science Pub Date : 2023-11-08 DOI:10.5194/wes-8-1639-2023
Filippo Trevisi, Carlo E. D. Riboldi, Alessandro Croce
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Abstract

Abstract. The power equations of crosswind Ground-Gen and Fly-Gen airborne wind energy systems (AWESs) flying in circular trajectories are refined to include the contribution from the aerodynamic wake, modeled with vortex methods. This reveals the effect of changing the turning radius, the wing geometry and the aerodynamic coefficients on aerodynamic performances and power production. A novel power coefficient is defined by normalizing the aerodynamic power with the wind power passing through a disk with a radius equal to the AWES wingspan, enabling the comparison of different designs for a given wingspan. The aspect ratio which maximizes this power coefficient is finite, and its analytical expression for an infinite turning radius is derived. By considering the optimal wing aspect ratio, the maximum power coefficient is found, and its analytical expression for an infinite turning radius is derived. Ground-Gen and Fly-Gen AWESs, with the same idealized characteristics, are compared in terms of power production, and later three AWESs from the literature are analyzed. With this modeling framework, Ground-Gen systems are found to have a lower power potential than Fly-Gen AWESs with the same geometry because the reel-out velocity makes Ground-Gen AWESs fly closer to their own wake.
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用旋涡尾迹模型改进机载风能系统功率方程
摘要对沿圆形轨迹飞行的侧风Ground-Gen和Fly-Gen机载风能系统(AWESs)的功率方程进行了改进,以考虑气动尾流的贡献,并采用涡流方法建模。这揭示了改变转弯半径、机翼几何形状和气动系数对气动性能和功率产生的影响。通过将空气动力归一化为风力通过半径等于awe翼展的圆盘,定义了一种新的功率系数,从而可以对给定翼展的不同设计进行比较。使该功率系数最大化的展弦比是有限的,并推导了其在无限转弯半径下的解析表达式。在考虑最优翼展弦比的情况下,求出了最大功率系数,并推导了其在无限转弯半径下的解析表达式。将具有相同理想化特性的Ground-Gen和Fly-Gen AWESs在发电量方面进行比较,然后对文献中的三种AWESs进行分析。通过这个建模框架,我们发现Ground-Gen系统的功率潜力比具有相同几何形状的fly - gen AWESs低,因为旋转速度使Ground-Gen AWESs飞得更靠近它们自己的尾迹。
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来源期刊
Wind Energy Science
Wind Energy Science GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
6.90
自引率
27.50%
发文量
115
审稿时长
28 weeks
期刊最新文献
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