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.
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August 2018
Technical Briefs
Analysis of Wind Turbine Wakes Through Time-Resolved and SCADA Data of an Onshore Wind Farm
Francesco Castellani,
Francesco Castellani
Department of Engineering,
University of Perugia,
via G. Duranti 93,
Perugia 06125, Italy
e-mail: francesco.castellani@unipg.it
University of Perugia,
via G. Duranti 93,
Perugia 06125, Italy
e-mail: francesco.castellani@unipg.it
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Paolo Sdringola,
Paolo Sdringola
Department of Engineering,
University of Perugia,
via G. Duranti 93,
Perugia 06125, Italy
e-mail: paolo.sdringola@unipg.it
University of Perugia,
via G. Duranti 93,
Perugia 06125, Italy
e-mail: paolo.sdringola@unipg.it
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Davide Astolfi
Davide Astolfi
Department of Engineering,
University of Perugia,
Perugia 06125, Italy
e-mail: davide.astolfi@unipg.it
University of Perugia,
via G. Duranti 93
,Perugia 06125, Italy
e-mail: davide.astolfi@unipg.it
Search for other works by this author on:
Francesco Castellani
Department of Engineering,
University of Perugia,
via G. Duranti 93,
Perugia 06125, Italy
e-mail: francesco.castellani@unipg.it
University of Perugia,
via G. Duranti 93,
Perugia 06125, Italy
e-mail: francesco.castellani@unipg.it
Paolo Sdringola
Department of Engineering,
University of Perugia,
via G. Duranti 93,
Perugia 06125, Italy
e-mail: paolo.sdringola@unipg.it
University of Perugia,
via G. Duranti 93,
Perugia 06125, Italy
e-mail: paolo.sdringola@unipg.it
Davide Astolfi
Department of Engineering,
University of Perugia,
Perugia 06125, Italy
e-mail: davide.astolfi@unipg.it
University of Perugia,
via G. Duranti 93
,Perugia 06125, Italy
e-mail: davide.astolfi@unipg.it
1Corresponding author.
Contributed by the Solar Energy Division of ASME for publication in the JOURNAL OF SOLAR ENERGY ENGINEERING: INCLUDING WIND ENERGY AND BUILDING ENERGY CONSERVATION. Manuscript received September 13, 2017; final manuscript received January 30, 2018; published online March 13, 2018. Assoc. Editor: Yves Gagnon.
J. Sol. Energy Eng. Aug 2018, 140(4): 044501 (6 pages)
Published Online: March 13, 2018
Article history
Received:
September 13, 2017
Revised:
January 30, 2018
Citation
Castellani, F., Sdringola, P., and Astolfi, D. (March 13, 2018). "Analysis of Wind Turbine Wakes Through Time-Resolved and SCADA Data of an Onshore Wind Farm." ASME. J. Sol. Energy Eng. August 2018; 140(4): 044501. https://doi.org/10.1115/1.4039347
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