The role of atmospheric stability/turbulence on wakes at the Egmond aan Zee offshore wind farm

Journal Article · Thu Jun 18 00:00:00 EDT 2015 · Journal of Physics. Conference Series

DOI:https://doi.org/10.1088/1742-6596/625/1/012002· OSTI ID:1390030

Barthelmie, R. J. ^[1]; Churchfield, Matthew J. ^[2]; Moriarty, Patrick J. ^[2]; Lundquist, Julie K. ^[3]; Oxley, G. S. ^[4]; Hahn, S. ^[4]; Pryor, S. C. ^[1]

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1. Cornell Univ., Ithaca, NY (United States)
2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
3. National Renewable Energy Lab. (NREL), Golden, CO (United States); Univ. of Colorado, Boulder, CO (United States)
4. Vestas Wind Systems A/S, Aarhus (Denmark)

Here, the aim of the paper is to present results from the NREL SOWFA project that compares simulations from models of different fidelity to meteorological and turbine data from the Egmond aan Zee wind farm. Initial results illustrate that wake behavior and impacts are strongly impacted by turbulence intensity. This includes both power losses from wakes and loading illustrated by the out of plane bending moment. Here we focus on understanding the relationship between turbulence and atmospheric stability and whether power losses due to wakes can effectively be characterized by measures of turbulence alone or whether atmospheric stability as a whole plays a fundamental role in wake behavior. The study defines atmospheric stability using the Monin-Obukhov length estimated based on the temperature difference between 116 and 70 m. The data subset selected using this method for the calculation of the Monin-Obukhov length indicate little diurnal or directional dependence of the stability classes but a dominance of stable classes in the spring/unstable classes in fall and of near-neutral classes at high wind speeds. The analysis is complicated by the need to define turbulence intensity. We can select the ratio of the standard deviation of wind speed to mean wind speed in each observation period using data from the meteorological mast, in which case a substantial amount of data must be excluded due to the presence of the wind farm. An alternative is to use data from the wind turbines which could provide a larger data set for analysis. These approaches are examined and compared to illustrate their robustness. Finally, power losses from wakes are categorized according to stability and/or turbulence in order to understand their relative importance in determining the behavior of wind turbine wakes.

• Research Organization: National Renewable Energy Laboratory (NREL), Golden, CO (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• Grant/Contract Number: AC36-08GO28308
• OSTI ID: 1390030
• Report Number(s): NREL/JA--5000-70106
• Journal Information: Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Vol. 625; ISSN 1742-6588
• Publisher: IOP Publishing
• Country of Publication: United States
• Language: English

Related Subjects

17 WIND ENERGY
atmospheric stability
turbulence
wake behavior
wind farm