Summary

Airborne wind energy systems harness wind resources at altitudes beyond the reach of conventional wind turbines by employing tethered flying devices such as kites, gliders or autonomous aircraft. By accessing higher-velocity and more persistent winds in the atmospheric boundary layer and above, these systems can achieve greater energy yields per unit mass of hardware. Typical configurations fall into two categories: traction systems, which generate power through cyclic reeling of a tether in pumping cycles, and on-board generation systems, which carry generators aloft. Advances in lightweight materials, real-time control and robust tether management have driven rapid progress, enabling prototypes to reach power ratings from a few kilowatts up to several hundred kilowatts. System performance depends on optimised flight patterns—often crosswind loops or figure-of-eight trajectories—to maximise apparent wind speed over the wing, balanced against aerodynamic losses in the wake and tether drag. Emerging research explores the design of power-electrical interfaces, reliability and safety strategies, wake interactions in array layouts, and integration into existing grids. Social acceptance, informed by comparisons of visual, acoustic and ecological impacts, is also gaining prominence. Airborne wind energy is recognised as a promising complementary technology for renewable energy portfolios, particularly in regions where land use, deep water or complex terrain limit conventional turbine deployment.

Research from Nature Portfolio

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Research from all publishers

Recent studies have evaluated community acceptance of airborne wind energy by comparing perceptions of noise, visual impact and safety between a soft-wing kite system and a conventional wind farm. Results indicated that while visual impacts were generally preferred for the kite system, residents rated ecological and noise impacts similarly across both technologies, emphasising the role of transparent project development and fair operational practices in securing public support.

Advances in aerodynamic modelling have produced a vortex-based representation of the wake behind crosswind trajectories. A combination of near- and far-wake filament models yields explicit and implicit closure schemes for induced velocity, facilitating integration into aero-servo-elastic simulations and design optimisation. Validation against free-vortex wake computations demonstrated that such models can predict induced drag and guide trajectory planning to reduce power losses.

Wind resource estimation has been refined through clustering analyses of multi-level wind speed profiles. By applying k-means clustering to modelled datasets, researchers derived representative wind profile shapes that capture the temporal and directional variability at different heights. This approach enables more accurate annual energy production estimates by associating tailored power curves with each cluster, reducing uncertainties arising from extrapolation of surface measurements.

Airborne Wind Energy System Technologies publication trend

The graph below shows the total number of articles in airborne wind energy system technologies across all publications each year (not limited to Nature Index journals).

Technical terms

Airborne wind energy system (AWES): A technology that generates electricity by operating a tethered flying device at altitudes higher than traditional wind turbines.

Crosswind flight: A flight pattern in which the tethered wing moves perpendicular to the wind direction to increase apparent wind speed over the aerofoil and enhance power production.

Pumping cycle: A power extraction method involving alternating phases of high-force traction (reeling out) and low-force retraction of the tether to drive a ground-based generator.

Aerodynamic wake: The disturbed airflow downstream of a flying device, characterised by reduced wind velocity and vortical structures that affect performance and spacing in system arrays.

References

  1. How do residents perceive energy-producing kites? Comparing the community acceptance of an airborne wind energy system and a wind farm in Germany. Energy Research & Social Science (2024).
  2. Vortex model of the aerodynamic wake of airborne wind energy systems. Wind Energy Science (2023).
  3. Clustering wind profile shapes to estimate airborne wind energy production. Wind Energy Science (2020).

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