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contributor authorCastellani, Francesco
contributor authorSdringola, Paolo
contributor authorAstolfi, Davide
date accessioned2019-02-28T11:07:10Z
date available2019-02-28T11:07:10Z
date copyright3/13/2018 12:00:00 AM
date issued2018
identifier issn0199-6231
identifier othersol_140_04_044501.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4252885
description abstractAnalysis of Wind Turbine Wakes Through Time-Resolved and SCADA Data of an Onshore Wind Farm;An experimental study is conducted on wind turbine wakes and their effects on wind turbine performances and operation. The test case is a wind farm located on a moderately complex terrain, featuring four turbines with 2 MW of rated power each. Two interturbine distances characterize the layout: 4 and 7.5 rotor diameters. Therefore, it is possible to study different levels of wake recovery. The processed data are twofold: time-resolved series, whose frequency is in the order of the hertz, and supervisory control and data acquisition (SCADA) data with 10 min of sampling time. The wake fluctuations are investigated adopting a “slow” point of view (SCADA), on a catalog of wake events spanned over a long period, and a “fast” point of view of selected time-resolved series of wake events. The power ratios between downstream and upstream wind turbines show that the time-resolved data are characterized by a wider range of fluctuations with respect to the SCADA. Moreover, spectral properties are assessed on the basis of time-resolved data. The combination of meandering wind and yaw control is observed to be associated with different spectral properties depending on the level of wake recovery.
publisherThe American Society of Mechanical Engineers (ASME)
titleAnalysis of Wind Turbine Wakes Through Time-Resolved and SCADA Data of an Onshore Wind Farm
typeJournal Paper
journal volume140
journal issue4
journal titleJournal of Solar Energy Engineering
identifier doi10.1115/1.4039347
journal fristpage44501
journal lastpage044501-6
treeJournal of Solar Energy Engineering:;2018:;volume( 140 ):;issue: 004
contenttypeFulltext


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