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Longitudinal coherence and short-term wind speed prediction based on a nacelle-mounted Doppler lidar

Journal Article · · Journal of Physics. Conference Series
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  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  2. Ecole Polytechnique Federale Lausanne (Switzlerland)
  3. National Renewable Energy Lab. (NREL), Golden, CO (United States); Univ. of Colorado, Boulder, CO (United States)
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The spatial structure of turbulence in atmospheric boundary layer flows is highly relevant to wind energy. In particular, wind turbine control strategies based on inflow preview measurements require knowledge of the longitudinal evolution of turbulent flow as it approaches the rotor. These upstream measurements are usually obtained with nacelle-mounted wind lidars. In contrast to traditional in situ anemometry, lidars collect measurements within a probe volume which varies in size depending on the technology of the commercial system being used. Here, we address two issues related to the use of wind lidar to measure the incoming flow to a wind turbine: (i) whether existing longitudinal coherence models can be used to predict flow at the rotor, based on measurements performed at a distance away from the rotor; and (ii) what effect probe-volume averaging has on the inflow predictions. These two questions are critical to the design and implementation of robust wind turbine control strategies. To address these questions, we perform field measurements and large-eddy simulations to determine which incoming flow structures can be readily predicted with existing coherence models, and which require additional corrections to account for lidar volumetric averaging effects. Results reveal that the wind turbine induction zone has a negligible impact on the longitudinal coherence and first-order turbulence quantities, such as the standard deviation of velocity fluctuations. However, the phase of the signal, from which advection time periods of the turbulent structures are derived, is affected by the rotor blockage effect.
Research Organization:
National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office
Grant/Contract Number:
AC36-08GO28308
OSTI ID:
1665803
Report Number(s):
NREL/JA--5000-77052; MainId:25015; UUID:3524f74d-d4ff-43ad-8647-3133371f4183; MainAdminID:15188
Journal Information:
Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Vol. 1618; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

References (7)

The spectrum of horizontal gustiness near the ground in high winds journal April 1961
On longitudinal spectral coherence journal June 1979
A numerical study of the effects of atmospheric and wake turbulence on wind turbine dynamics journal January 2012
Detection of Wind Evolution and Lidar Trajectory Optimization for Lidar-Assisted Wind Turbine Control [Detection of Wind Evolution and Lidar Trajectory Optimization for Lidar-Assisted Wind Turbine Control] journal November 2015
Measurements of Boundary Layer Profiles in an Urban Environment journal June 2006
Quantifying error of lidar and sodar Doppler beam swinging measurements of wind turbine wakes using computational fluid dynamics journal January 2015
How does turbulence change approaching a rotor? journal January 2018

Figures / Tables (9)

Table 1(p. 3)table Table 1
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Table 2(p. 7)table Table 2
Figure 5(p. 8)figure Figure 5
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Figure 7(p. 9)figure Figure 7

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Related Subjects

17 WIND ENERGY
volume averaging
wind coherence
wind lidar