Search arXivSearch

arXiv · 2110.14612

Beating Betz's Law: A larger fundamental upper bound for wind energy harvesting

Abstract

Betz's law, purportedly, says an ideal wind harvester cannot extract more than 16/27 ($\sim$59\%) of the wind energy. As the law's derivation relies on momentum and energy conservation with incompressible flow and not the physical mechanism coupling the wind-field to the extraction of work it is ubiquitously regarded as a "universal" upper bound on efficiency, as inclusion of mechanics, aerodynamics and thermodynamics are presumed to worsen this upper bound. Here we show that when unneeded assumptions in the Betz's law derivation are relaxed a higher bound of 2/3 ($\sim$67\%) can be achieved. A concrete example, strictly obeying the identical energy and momentum conservation used to derive the Betz's law, is given that violates Betz's law by achieving our higher 2/3 bound. Thus Betz's law is not a universal limit on wind energy harvesting efficiency. More surprisingly, we show Betz law is not simply the limit case of a vanishingly-thin turbine either. In 2-D models specific for turbines, radial flow is known to occur to occur as a consequence of angular momentum,\cite{Sharpe2004} but here we show in a 1-D modelthat allowing any radial flux out of the harvester cross-section can increase the efficiency without any need to consider angular momentum or explicit 2-D models. A key design insight we glean is that for high-efficiency harvesters it is better to strive for the least pressure build up (to increase flux) -- the exact opposite of the Betz model's sole operational principle of high pressure differentials. Additionally, we derive an alternative metric of harvester efficiency which takes into account the downstream wake expansion ignored by the conventional definition of power conversion factors, and the resulting upper bound this places on power extraction from dense grids of harvesters.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Charlie E. M. Strauss. 2023-02-20. Beating Betz's Law: A larger fundamental upper bound for wind energy harvesting. https://arxiv.org/abs/2110.14612

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

Cross-helicity and chaotic dynamics of full-disc solar magnetic field

Using the results of laboratory experiments and direct numerical simulations, as well as observations of the full-disc solar magnetic field and sunspot number dynamics, it is demonstrated that cross-helicity can dominate the decaying part of the frequency power spectra of the magnetic field generated by a magnetohydrodynamic (MHD) dynamo in chaotic/turbulent swirling flows for sufficiently strong MHD turbulence (including the solar dynamo). The theoretical consideration is based on a Kolmogorov-like phenomenology within the framework of the distributed chaos concept. It is also shown that the solar full-disc magnetic field for the last two solar cycles with weak magnetic activity exhibits deterministic chaotic behavior concentrated around the equator.

physics.flu-dyn

Manifestation of spurious currents and interface regularization in wind turbulence over fast-propagating waves

Accurate simulation of wind turbulence over fast-propagating waves requires interface-capturing methods that suppress numerical artifacts while accurately resolving momentum transfer across the interface. In high wave-age regimes, numerical errors at the air-water interface can reach magnitudes comparable to the physical flow, directly affecting predicted turbulence statistics. This study examines widely used interface-capturing techniques to evaluate how curvature estimation and flux discretization influence wind-wave simulations through the resulting spurious currents and interface regularization. A systematic assessment is performed using static and translating droplet benchmarks, together with solitary and monochromatic wave cases, to identify and quantify the dominant numerical error mechanisms. In addition, comparison with experimental measurements reveals how these primary error sources manifest in coupled wind-wave simulations. These findings clarify the numerical origin of the observed discrepancies and underscore the importance of accurate curvature and flux treatment in high wave-age regimes, without which numerical artifacts risk being misattributed to genuine wind-wave physics.

physics.flu-dyn

A reconfigurable multi-axis cyber-physical framework for multi-regime fluid--structure interaction experiments

Fluid--structure interaction (FSI) experiments are typically built around mechanical dynamics and constraints imposed by the physical apparatus, so changing mass, stiffness, damping, or allowable motion often requires hardware reconfiguration. Here we present a reconfigurable cyber-physical framework in which these properties are instead assigned through software-defined dynamics. The system provides three translational and one rotational degree of freedom, each independently configurable as prescribed, load-responsive, or locked, with operating roles that can also be reassigned during a running experiment. Measured forces and torques are incorporated into real-time virtual dynamic models, while a common supervisory architecture coordinates multi-axis motion, mode switching, synchronized data acquisition, and diagnostic positioning. The prescribed-motion pathway is validated using a pitching hydrofoil by comparison with published thrust and power scaling trends, while the load-responsive pathway is evaluated using an active-heave/passive-pitch benchmark that reproduces the expected frequency-dependent resonant response over the tested conditions. The same platform is then reconfigured for intra-cycle active--passive pitching, coordinated vertical-axis turbine-surrogate motion, force-driven passive surge, and automated multilayer stereoscopic particle image velocimetry. These results demonstrate that distinct FSI boundary conditions and measurement requirements can be implemented within a common motion, sensing, and control architecture. By treating mechanical roles and constraints as software-defined experimental variables, the framework provides a reusable basis for reconfigurable FSI experiments without redesigning the underlying platform for each application.

physics.flu-dyn