Wind turbine wake inflow over a heterogeneous forest - comparison between measurement and LES simulation

نویسندگان

چکیده

In this work a new step in understanding the wind turbine (WT) wake behavior on forested areas is made. For analysis, pair of real scale WTs located site with moderately complex terrain and heterogeneous forest simulated using Large Eddy Simulation (LES). This simulation compared met mast power output measurements two Ryningsnas, Sweden, considering near neutral stratification atmospheric boundary layer (ABL). Three validation steps are followed; first, undisturbed profile data another similar LES code. Then, for each WT impacting at different directions addressed. A feature that these have hub heights, but same rated rotor diameter, which helps provide insight into how tip clearance over affects operation characteristics. Finally, deficits when operating others wakes to observed deficits. simulations SOWFA, Open FOAM project farms ABL, used. code, three additions made; model, mesh modification representation an actuator disc model local force adaptation farm flows. The results show good performance quantitatively qualitatively capturing velocity wake, TKE underestimates magnitude, fails match measured structure one WTs. deficit impacted well captured, despite complexity related turbines heights. study makes first validating forest.

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

3D-simulation of the turbulent wake behind a wind turbine

The paper relates to the simulation of the airflow around a wind turbine (WT) of the type ENERCON E66 with emphasis on the turbulent wake. The simulations were undertaken with the Computational Fluid Dynamics (CFD) software ANSYS FLUENT 6.3 using the LES technique for turbulence modeling. It is the aim of the work to capture the full threedimensional turbulent flow behind a WT in a sufficient s...

متن کامل

Wind turbine model validation: Fusion of simulation and measurement data

A new turbine model validation technique that is based on adaptation of look-up tables is described this paper. Simulation results from the VIDYN turbine simulation program and measurements from Big Glenn wind turbine, located outside Gothenburg, Sweden are used as an input to this new model validation technique. The models of the flapwise bending moment and power coefficient are validated for ...

متن کامل

Measured wind turbine loads and their dependence on inflow parameters

The Long-Term Inflow and Structural Test (LIST) program is gathering inflow and structural response data on a Westinghouse 600-kW wind turbine located at a test site near Boulder, Colorado. Data from 1043 ten-minute time segments are analyzed here to determine the dependency of fatigue and extreme loads on inflow parameters. Flap and edge bending moment ranges at the blade root are studied as t...

متن کامل

CFD Wake Modelling with a BEM Wind Turbine Sub-Model

Modelling of wind farms using computational fluid dynamics (CFD) resolving the flow field around each wind turbine’s blades on a moving computational grid is still too costly and time consuming in terms of computational capacity and effort. One strategy is to use sub-models for the wind turbines, and sub-grid models for turbulence production and dissipation to model the turbulent viscosity accu...

متن کامل

Effects of Freestream Turbulence in a Model Wind Turbine Wake

The flow structure in the wake of a model wind turbine is explored under negligible and high turbulence in the freestream region of a wind tunnel at Re ∼ 7× 104. Attention is placed on the evolution of the integral scale and the contribution of the large-scale motions from the background flow. Hotwire anemometry was used to obtain the streamwise velocity at various streamwise and spanwise locat...

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 Physics: Conference Series

سال: 2021

ISSN: ['1742-6588', '1742-6596']

DOI: https://doi.org/10.1088/1742-6596/1934/1/012008