Large-eddy simulation of airborne wind energy farms

Abstract

Abstract. The future utility-scale deployment of airborne wind energy technologies requires the development of large-scale multi-megawatt systems. This study aims at quantifying the interaction between the atmospheric boundary layer (ABL) and large-scale airborne wind energy systems operating in a farm. To that end, we present a virtual flight simulator combining large-eddy simulations to simulate turbulent flow conditions and optimal control techniques for flight-path generation and tracking. The two-way coupling between flow and system dynamics is achieved by implementing an actuator sector method that we pair to a model predictive controller. In this study, we consider ground-based power generation pumping-mode AWE systems (lift-mode AWES) and on-board power generation AWE systems (drag-mode AWES). For the lift-mode AWES, we additionally investigate different reel-out strategies to reduce the interaction between the tethered wing and its own wake. Further, we investigate AWE parks consisting of 25 systems organized in 5 rows of 5 systems. For both lift- and drag-mode archetypes, we consider a moderate park layout with a power density of 10 MW km−2 achieved at a rated wind speed of 12 m s−1. For the drag-mode AWES, an additional park with denser layout and power density of 28 MW km−2 is also considered. The model predictive controller achieves very satisfactory flight-path tracking despite the AWE systems operating in fully waked, turbulent flow conditions. Furthermore, we observe significant wake effects for the utility-scale AWE systems considered in the study. Wake-induced performance losses increase gradually through the downstream rows of systems and reach in the last row of the parks up to 17 % for the lift-mode AWE park and up to 25 % and 45 % for the moderate and dense drag-mode AWE parks, respectively. For an operation period of 60 minutes at a below-rated reference wind speed of 10 m s−1, the lift-mode AWE park generates about 84.4 MW of power, corresponding to 82.5 % of the power yield expected when AWE systems operate ideally and interaction with the ABL is negligible. For the drag-mode AWE parks, the moderate and dense layouts generate about 86.0 MW and 72.9 MW of power, respectively, corresponding to 89.2 % and 75.6 % of the ideal power yield.

Unsteady aerodynamic simulations of a multi-megawatt airborne wind energy reference system using computational fluid dynamics

“…The velocity profile is sampled from [5], and processed to obtain samples of the circumferential angle in time. These samples are then used to derive an equation using curve fitting.…”

“…Conventional wind turbines are known to influence the surrounding atmosphere both upstream and downstream and leave considerable wakes in the nearby atmosphere. Haas [5] found that for utility-scale AWE systems, interaction with its wake can occur for on-ground conversion systems during reel-out. In [5] the dynamic motion of AWE system is considered, but the modeling of the aerodynamic forces of the aircraft is limited to an analytical formulation of the aerodynamic coefficients.…”

“…Haas [5] found that for utility-scale AWE systems, interaction with its wake can occur for on-ground conversion systems during reel-out. In [5] the dynamic motion of AWE system is considered, but the modeling of the aerodynamic forces of the aircraft is limited to an analytical formulation of the aerodynamic coefficients.…”