Analytical model of fully developed wind farms in conventionally neutral atmospheric boundary layers

نویسندگان

چکیده

The wind energy industry relies on computationally efficient engineering-type models to design farms. Typically these do not account for the effect of atmospheric stratification in either boundary layer or free atmosphere. This study proposes a new analytical model fully developed wind-turbine arrays conventionally neutral layers frequently encountered nature. captures free-atmosphere stratification, Coriolis force, farm layout and turbine operating condition performance. is based physical insight derived from large-eddy simulations. We demonstrate that geostrophic drag law (GDL) flow over flat terrain can be extended arrays. presence vast significantly increases friction velocity compared with terrain, which modelled by updated coefficients GDL. reliably vertical speed profile inside farm. Furthermore, power production trends observed simulations are reproduced. performance, normalized speed, decreases as thermal stability force decreases. In addition, we find optimal performance obtained at lower thrust coefficient than Betz limit, indicates conditions turbines different single turbine.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Interaction between large wind farms and the atmospheric boundary layer

Accurate prediction of atmospheric boundary layer (ABL) flow and its interactions with wind turbines is of great importance for optimizing the design and efficiency of wind farms. This study first focuses on recent efforts to develop and validate a large-eddy simulation (LES) framework for wind-energy applications. The subgrid-scale turbulent fluxes of momentum and heat are parameterized using ...

متن کامل

Wind-tunnel simulation of stably stratified atmospheric boundary layers

Results are presented of simulations of a stable boundary layer of moderate surface condition and zero overlying inversion strength. The layer depth is matched to model scale by artificially thickening the boundary layer by means of flow generators (‘spires’) at the working-section inlet. A non-uniform inlet temperature profile is essential in order to preclude the upper part of the layer retai...

متن کامل

Atmospheric Boundary Layer Wind Tunnel Applications in Wind Turbine Siting

Atmospheric boundary layer wind tunnels (ABLWTs) have been used for 40 years to simulate the interaction of the wind and earth in the lowest few hundred meters of the atmosphere. ABLWTs are well-suited for investigating flow in complex terrain and have different strengths and weaknesses than numerical modeling. There are a wide variety of applications, including performing wind resource assessm...

متن کامل

Parametric study of a viscoelastic RANS turbulence model in the fully developed channel flow

One of the newest of viscoelastic RANS turbulence models for drag reducing channel flow with polymer additives is studied in different flow and rheological properties. In this model, finitely extensible nonlinear elastic-Peterlin (FENE-P) constitutive model is used to describe the viscoelastic effect of polymer solution and turbulence model is developed in the k-ϵ-(ν^2 ) ̅-f framework. The geome...

متن کامل

Scaling structure of the velocity statistics in atmospheric boundary layers

The statistical objects characterizing turbulence in real turbulent flows differ from those of the ideal homogeneous isotropic model. They contain contributions from various two- and three-dimensional aspects, and from the superposition of inhomogeneous and anisotropic contributions. We employ the recently introduced decomposition of statistical tensor objects into irreducible representations o...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Fluid Mechanics

سال: 2022

ISSN: ['0022-1120', '1469-7645']

DOI: https://doi.org/10.1017/jfm.2022.732