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contributor authorHasan, Alaa S.
contributor authorJackson, Randall S.
contributor authorAmano, Ryoichi S.
date accessioned2019-09-18T09:04:43Z
date available2019-09-18T09:04:43Z
date copyright3/29/2019 12:00:00 AM
date issued2019
identifier issn0195-0738
identifier otherjert_141_05_051209.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4258590
description abstractIt is desired, through this work, to investigate in detail the scenario that takes place behind a single wind turbine unit by focusing on three parameters; average axial wind velocity component, velocity deficit, and total turbulence intensity. The testing was done at mainstream velocity, U∞, of 5.2 m/s, u and v velocity components were captured by x-probe dual-sensor hot wire anemometer. A massive amount of point data was obtained, which then processed by a matlab script to plot the desired contours through the successive transverse sections along the entire length of the test section. By monitoring the previously mentioned flow parameters, the regions of low velocity and high turbulence can be avoided, while the location of the subsequent wind turbine is selected. The estimation of the distance, at which the inlet flow field will restore its original characteristics after being mixed through the rotor blades, is very important as this is the distance that should separate two successive turbines in an inline configuration wind farm to guarantee the optimum performance and to extract the maximum power out of the subsequent array of turbines. It is found that the hub height axial velocity recovery at six rotor diameters downstream distance is only 82%. This fact means that the power extraction out of the downstream turbine in an inline configuration wind farm is only 55% of the upstream turbine if the same free stream velocity and blade design are adopted.
publisherAmerican Society of Mechanical Engineers (ASME)
titleExperimental Study of the Wake Regions in Wind Farms
typeJournal Paper
journal volume141
journal issue5
journal titleJournal of Energy Resources Technology
identifier doi10.1115/1.4042968
journal fristpage51209
journal lastpage051209-12
treeJournal of Energy Resources Technology:;2019:;volume 141:;issue 005
contenttypeFulltext


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