Next Article in Journal
Effect of Sampling Rate on Photovoltaic Self-Consumption in Load Shifting Simulations
Previous Article in Journal
Optimal Under-Frequency Load Shedding Setting at Altai-Uliastai Regional Power System, Mongolia
Previous Article in Special Issue
Wind Turbines with Truncated Blades May Be a Possibility for Dense Wind Farms
Open AccessArticle

Distinct Turbulent Regions in the Wake of a Wind Turbine and Their Inflow-Dependent Locations: The Creation of a Wake Map

1
LHEEA (UMR 6598-CNRS), École Centrale de Nantes, 44300 Nantes, France
2
Institute of Physics and For Wind, University of Oldenburg, 26129 Oldenburg, Germany
3
Physics of Fluids Group, Max Planck Center Twente for Complex Fluid Dynamics, University of Twente, 7500 AE Enschede, The Netherlands
4
Wind Energy and Institute of Engineering, Hanzehogeschool Groningen, 9747 AS Groningen, The Netherlands
5
TNO Energy Transition, Wind Energy Technology, 1755 LE Petten, The Netherlands
*
Authors to whom correspondence should be addressed.
Current address: 1 Rue de la Noë, 44300 Nantes, France.
Energies 2020, 13(20), 5392; https://doi.org/10.3390/en13205392
Received: 25 August 2020 / Revised: 27 September 2020 / Accepted: 7 October 2020 / Published: 15 October 2020
(This article belongs to the Special Issue Fluid Mechanics and Turbulence in Wind Farms)
Wind turbines are usually clustered in wind farms which causes the downstream turbines to operate in the turbulent wakes of upstream turbines. As turbulence is directly related to increased fatigue loads, knowledge of the turbulence in the wake and its evolution are important. Therefore, the main objective of this study is a comprehensive exploration of the turbulence evolution in the wind turbine’s wake to identify characteristic turbulence regions. For this, we present an experimental study of three model wind turbine wake scenarios that were scanned with hot-wire anemometry with a very high downstream resolution. The model wind turbine was exposed to three inflows: laminar inflow as a reference case, a central wind turbine wake, and half of the wake of an upstream turbine. A detailed turbulence analysis reveals four downstream turbulence regions by means of the mean velocity, variance, turbulence intensity, energy spectra, integral and Taylor length scales, and the Castaing parameter that indicates the intermittency, or gustiness, of turbulence. In addition, a wake core with features of homogeneous isotropic turbulence and a ring of high intermittency surrounding the wake can be identified. The results are important for turbulence modeling in wakes and optimization of wind farm wake control. View Full-Text
Keywords: wind turbine wake; turbulence; turbulence decay; homogeneous isotropic turbulence; wake map wind turbine wake; turbulence; turbulence decay; homogeneous isotropic turbulence; wake map
Show Figures

Graphical abstract

MDPI and ACS Style

Neunaber, I.; Hölling, M.; Stevens, R.J.A.M.; Schepers, G.; Peinke, J. Distinct Turbulent Regions in the Wake of a Wind Turbine and Their Inflow-Dependent Locations: The Creation of a Wake Map. Energies 2020, 13, 5392. https://doi.org/10.3390/en13205392

AMA Style

Neunaber I, Hölling M, Stevens RJAM, Schepers G, Peinke J. Distinct Turbulent Regions in the Wake of a Wind Turbine and Their Inflow-Dependent Locations: The Creation of a Wake Map. Energies. 2020; 13(20):5392. https://doi.org/10.3390/en13205392

Chicago/Turabian Style

Neunaber, Ingrid; Hölling, Michael; Stevens, Richard J.A.M.; Schepers, Gerard; Peinke, Joachim. 2020. "Distinct Turbulent Regions in the Wake of a Wind Turbine and Their Inflow-Dependent Locations: The Creation of a Wake Map" Energies 13, no. 20: 5392. https://doi.org/10.3390/en13205392

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop