This paper presents a methodology for assessing the system design and scaling trends in airborne wind energy (AWE). A multi-disciplinary design, analysis, and optimisation (MDAO) framework was developed, integrating power, energy production, and cost models for the fixed-wing ground-generation (GG) AWE concept. Using the levelized cost of electricity (LCoE) as the design objective, we found that the optimal size of systems lies between the rated power of 100 and 1000 kW.

The use of flying wings in airborne wind energy systems (AWESs) is promising. This paper develops a guidance concept for launching and landing of such a flying wing AWES. The fundamental challenges are presented, and a suitable guidance concept is identified. It is analyzed in terms of controllability at different wind speeds and guidance parameters allowing the design of a controller. Simulation results show that the guidance concept presented here facilitates the desired launching and landing.

This article presents a tow test procedure for measuring the steering behaviour of tethered membrane wings. The experimental set-up includes a novel onboard sensor system for measuring the position and orientation of the towed wing, complemented by an attached low-cost multi-hole probe for measuring the relative flow velocity vector at the wing. The measured data (steering gain and dead time) can be used to improve kite models and simulate the operation of airborne wind energy systems.

This paper presents a fast cycle–power computation model for fixed-wing ground-generation airborne wind energy systems. It is suitable for sensitivity and scalability studies, which makes it a valuable tool for design and innovation trade-offs. It is also suitable for integration with cost models and systems engineering tools, enhancing its applicability in assessing the potential of airborne wind energy in the broader energy system.

We present a novel two-point model of a kite with a suspended control unit to describe the characteristic swinging motion of this assembly during turning manoeuvres. Quasi-steady and dynamic model variants are combined with a discretised tether model, and simulation results are compared with measurement data of an instrumented kite system. By resolving the pitch of the kite, the model allows for computing the angle of attack, which is essential for estimating the generated aerodynamic forces.