Published February 2019 | Version v1
Journal article

Scale evolution, intermittency and fluctuation relations in the near-wake of a wind turbine array

  • 1. Department of Mechanical and Materials Engineering, Portland State University, Portland, Oregon (United States)

Description

Scale evolution statistics are used to analyze the flow structure of the wake flow in the boundary layer of a wind turbine array. Flow behind a 3 × 3 wind turbine array is examined experimentally via X-type hot-wire anemometry, with data obtained in a 9 × 21 array of measurement locations positioned 0.5 rotor diameter downwind of the third row of turbines. It is observed that the structure evolution tends towards non universality as the spanwise distance from the rotor is reduced. The extended self-similarity result highlights the deviation from the self-similarity is marginal in the second order, and becomes stark with increasing the order. Also, the region below the hub height near the rotor carries the most intermittent flow in comparison with the region outside the swept area. Flow features in the wakes are characterized via correlation between the velocity and multifractal Hölder exponent related to the velocity increment via the Frisch–Parisi conjecture. Flow events are also classified using the sign of the fluctuating streamwise velocity and the Hölder exponent into quadrants. The second and fourth quadrants of the velocity and the intermittency are dominant at the hub height and bottom tip. Hole-size filtering shows variations in the number of records per quadrant and dominance of the fourth quadrant. Further, the statistical properties of velocity-intermittency quadrant demonstrate a dependence between the velocity and velocity increments.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2018.12.018

Additional details

Identifiers

DOI
10.1016/j.chaos.2018.12.018;
PII
S0960077918308609;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
119
Journal Page Range
p. 215-229
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54120546
Subject category
S17: WIND ENERGY;
Descriptors DEI
FILTERS; FLUCTUATIONS; ROTORS; TURBINES; WIND TURBINE ARRAYS; WIRES
Descriptors DEC
EQUIPMENT; MACHINERY; TURBOMACHINERY; VARIATIONS

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.