Numerical and Experimental Study of Wake Redirection Techniques in a Boundary Layer Wind Tunnel
- 1. Wind Energy Institute, Technische Universität München, Boltzmannstraße 15, D-85748 Garching bei München (Germany)
- 2. Dipartimento di Scienze e Tecnologie Aerospaziali, Politecnico di Milano, Via La Masa 34, I-20156 Milano (Italy)
Description
The aim of the present paper is to validate a wind farm LES framework in the context of two distinct wake redirection techniques: yaw misalignment and individual cyclic pitch control. A test campaign was conducted using scaled wind turbine models in a boundary layer wind tunnel, where both particle image velocimetry and hot-wire thermo anemometers were used to obtain high quality measurements of the downstream flow. A LiDAR system was also employed to determine the non-uniformity of the inflow velocity field. A high-fidelity large-eddy simulation lifting-line model was used to simulate the aerodynamic behavior of the system, including the geometry of the wind turbine nacelle and tower. A tuning-free Lagrangian scale-dependent dynamic approach was adopted to improve the sub-grid scale modeling. Comparisons with experimental measurements are used to systematically validate the simulations. The LES results are in good agreement with the PIV and hot-wire data in terms of time-averaged wake profiles, turbulence intensity and Reynolds shear stresses. Discrepancies are also highlighted, to guide future improvements. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/854/1/012048Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 854
- Journal Issue
- 1
- Journal Page Range
- [12 p.]
- ISSN
- 1742-6596
Conference
- Title
- Wake conference 2017
- Dates
- 30 May - 1 Jun 2017
- Place
- Visby (Sweden)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 49029744
- Subject category
- S42: ENGINEERING; S17: WIND ENERGY;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- AERODYNAMICS; ANEMOMETERS; BOUNDARY LAYERS; COMPARATIVE EVALUATIONS; LAGRANGIAN FUNCTION; LARGE-EDDY SIMULATION; OPTICAL RADAR; REYNOLDS NUMBER; STRESSES; TURBULENCE; VELOCITY; WIND TUNNELS; WIND TURBINE ARRAYS; WIND TURBINES
- Descriptors DEC
- COMPUTERIZED SIMULATION; DIMENSIONLESS NUMBERS; EQUIPMENT; EVALUATION; FLUID MECHANICS; FUNCTIONS; LAYERS; MACHINERY; MEASURING INSTRUMENTS; MECHANICS; RADAR; RANGE FINDERS; SIMULATION; TURBINES; TURBOMACHINERY