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contributor authorAitken, Matthew L.
contributor authorLundquist, Julie K.
date accessioned2017-06-09T17:25:35Z
date available2017-06-09T17:25:35Z
date copyright2014/07/01
date issued2014
identifier issn0739-0572
identifier otherams-85026.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4228428
description abstracto facilitate the optimization of turbine spacing at modern wind farms, computational simulations of wake effects must be validated through comparison with full-scale field measurements of wakes from utility-scale turbines operating in the real atmosphere. Scanning remote sensors are particularly well suited for this objective, as they can sample wind fields over large areas at high temporal and spatial resolutions. Although ground-based systems are useful, the vantage point from the nacelle is favorable in that scans can more consistently transect the central part of the wake. To the best of the authors? knowledge, the work described here represents the first analysis in the published literature of a utility-scale wind turbine wake using nacelle-based long-range scanning lidar.The results presented are of a field experiment conducted in the fall of 2011 at a wind farm in the western United States, quantifying wake attributes such as the velocity deficit, centerline location, and wake width. Notable findings include a high average velocity deficit, decreasing from 60% at a downwind distance x of 1.8 rotor diameters (D) to 40% at x = 6D, resulting from a low average wind speed and therefore a high average turbine thrust coefficient. Moreover, the wake width was measured to expand from 1.5D at x = 1.8D to 2.5D at x = 6D. Both the wake growth rate and the amplitude of wake meandering were observed to be greater for high ambient turbulence intensity and daytime conditions as compared to low turbulence and nocturnal conditions.
publisherAmerican Meteorological Society
titleUtility-Scale Wind Turbine Wake Characterization Using Nacelle-Based Long-Range Scanning Lidar
typeJournal Paper
journal volume31
journal issue7
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-13-00218.1
journal fristpage1529
journal lastpage1539
treeJournal of Atmospheric and Oceanic Technology:;2014:;volume( 031 ):;issue: 007
contenttypeFulltext


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