Investigation of wake characteristic of a 30 kW rated power Horizontal Axis Wind Turbine with wake model and field measurement
Qing'an Li,
Takao Maeda,
Yasunari Kamada and
Yuto Hiromori
Applied Energy, 2018, vol. 225, issue C, 1190-1204
Abstract:
A field measurement and wake model based on experimental data were introduced to investigate the wake characteristics of a HAWT (Horizontal Axis Wind Turbine) in a wind farm. In the present study, a HAWT generator of capacity 30 kW with the rotor diameter of 10.0 m was used. Firstly, the reference wind was measured with inflow measurement mast. And then, the wake flow was examined in the different tip speed ratios and pitch angles at the wind turbine wake position of x/D = 2.0 by ultrasonic anemometers, three-cup type anemometers and wind vane. Finally, the wake velocity distribution was predicted by the wake model with Gaussian function. As a result, the non-dimensional wind velocity ratio UNR reached the minimum value around y/R = 0.50 and increased as it went laterally away from y/R = 0.50. Furthermore, the non-dimensional wind velocity ratio UNR decreased with the increase of the pitch angle. When the pitch angles were 0°, 2° and 4°, the minimum UNR were about 0.77, 0.78 and 0.84 at the horizontal position of y/R = 0.5. Meanwhile, the full wake widths at half maximum of 1.04, 0.98 and 1.09 were obtained at the pitch angle of 0°. This study provided rich information for the prediction of annual power generation of the downstream wind turbine in wind farm.
Keywords: Horizontal Axis Wind Turbine (HAWT); Field measurement; Gaussian function; Wake; Wind deficit (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0306261918307153
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:225:y:2018:i:c:p:1190-1204
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic
DOI: 10.1016/j.apenergy.2018.05.022
Access Statistics for this article
Applied Energy is currently edited by J. Yan
More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().