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Wind turbine wake characterization in complex terrain via integrated Doppler lidar data from the Perdigão experiment

Barthelmie, R.J. and Pryor, S.C. and Wildmann, Norman and Menke, R. (2018) Wind turbine wake characterization in complex terrain via integrated Doppler lidar data from the Perdigão experiment. Journal of Physics: Conference Series, 1037 (5), pp. 1-10. Institute of Physics (IOP) Publishing. DOI: 10.1088/1742-6596/1037/5/052022 ISSN 1742-6588

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Official URL: http://stacks.iop.org/1742-6596/1037/i=5/a=052022

Abstract

During the intensive period (May-June 2017) of the Perdigäo experiment, three sets of Doppler lidar were operated to scan the wake of the wind turbine (WT) on the southwest ridge. CU operated a Doppler scanning lidar in the valley bottom approximately 1 km northeast of the WT and conducted multiple arc scans and two RHI scans every 10-minutes centred on the WT. DTU used a dual Doppler lidar system scanning almost horizontally from the northeast ridge. Two of the three DLR lidars were in-plane with the WT for the main wind direction, one in the valley and one on the distant mountain ridge. The third DLR lidar was on the southwest ridge. All three systems (CU, DTU and DLR) were operated such that in data processing vertical and/or horizontal profiles of the wake can be derived at different distances from the WT. The paper describes the strategies used to scan the wake by the three groups and compares wake characteristics derived from the different systems.

Item URL in elib:https://elib.dlr.de/120991/
Document Type:Article
Title:Wind turbine wake characterization in complex terrain via integrated Doppler lidar data from the Perdigão experiment
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Barthelmie, R.J.Cornell Univ., Ithaca, NY, USAhttps://orcid.org/0000-0003-0403-6046
Pryor, S.C.Cornell Univ., Ithaca, NY, USAhttps://orcid.org/0000-0003-4847-3440
Wildmann, NormanDLR, IPAhttps://orcid.org/0000-0001-9475-4206
Menke, R.Technical Univ., Roskilde, Dänemarkhttps://orcid.org/0000-0002-2523-8221
Date:June 2018
Journal or Publication Title:Journal of Physics: Conference Series
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:No
Volume:1037
DOI :10.1088/1742-6596/1037/5/052022
Page Range:pp. 1-10
Publisher:Institute of Physics (IOP) Publishing
ISSN:1742-6588
Status:Published
Keywords:wind energy, wind turbine Wakes, lidar
HGF - Research field:Energy
HGF - Program:Renewable Energies
HGF - Program Themes:Wind Energy
DLR - Research area:Energy
DLR - Program:E SW - Solar and Wind Energy
DLR - Research theme (Project):E - Wind Energy
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Transport Meteorology
Deposited By: Wildmann, Norman
Deposited On:19 Jul 2018 14:14
Last Modified:19 Jul 2018 14:14

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