Characterization of flow recirculation zones at the Perdigão site using multi-lidar measurements
-
Published:2019-03-01
Issue:4
Volume:19
Page:2713-2723
-
ISSN:1680-7324
-
Container-title:Atmospheric Chemistry and Physics
-
language:en
-
Short-container-title:Atmos. Chem. Phys.
Author:
Menke RobertORCID, Vasiljević NikolaORCID, Mann JakobORCID, Lundquist Julie K.ORCID
Abstract
Abstract. Because flow recirculation can generate significant amounts of turbulence, it can impact the success of wind energy projects. This study uses unique Doppler lidar observations to quantify occurrences of flow recirculation on lee sides of ridges. An extensive dataset of observations of flow over complex terrain is available from the Perdigão 2017 field campaign over a period of 3 months. The campaign site was selected because of the unique terrain feature of two nearly parallel ridges with a valley-to-ridge-top height difference of about 200 m and a ridge-to-ridge distance of 1.4 km. Six scanning Doppler lidars probed the flow field in several vertical planes orthogonal to the ridges using range–height indicator scans. With this lidar setup, we achieved vertical scans of the recirculation zone at three positions along two parallel ridges. We construct a method to identify flow recirculation zones in the scans, as well as define characteristics of these zones. According to our data analysis, flow recirculation, with reverse flow wind speeds greater than 0.5 m s−1, occurs over 50 % of the time when the wind direction is perpendicular to the direction of the ridges. Atmospheric conditions, such as atmospheric stability and wind speed, affect the occurrence of flow recirculation. Flow recirculation occurs more frequently during periods with wind speeds above 8 m s−1. Recirculation within the valley affects the mean wind and turbulence fields at turbine heights on the downwind ridge in magnitudes significant for wind resource assessment.
Publisher
Copernicus GmbH
Subject
Atmospheric Science
Reference31 articles.
1. Aitken, M. L., Banta, R. M., Pichugina, Y. L., and Lundquist, J. K.: Quantifying Wind Turbine Wake Characteristics from Scanning Remote Sensor Data, J. Atmos. Ocean. Tech., 31, 765–787, https://doi.org/10.1175/JTECH-D-13-00104.1, 2014. a 2. Baines, P.: Topographic Effects in Stratified Flows, Cambridge Monographs on Mechanics and Applied Mathematics, Cambridge University Press, 1998. a, b 3. Berg, J., Troldborg, N., Menke, R., Patton, E. G., Sullivan, P. P., Mann, J., and Sørensen, N. N.: Flow in complex terrain – a Large Eddy Simulation comparison study, Journal of Physics: Conference Series, 1037, p072015, 2018. a 4. Burns, S. P., Sun, J., Lenschow, D. H., Oncley, S. P., Stephens, B. B., Yi, C., Anderson, D. E., Hu, J., and Monson, R. K.: Atmospheric Stability Effects on Wind Fields and Scalar Mixing Within and Just Above a Subalpine Forest in Sloping Terrain, Bound.-Lay. Meteorol., 138, 231–262, https://doi.org/10.1007/s10546-010-9560-6, 2011. a 5. Chow, F. K. and Street, R. L.: Evaluation of Turbulence Closure Models for Large-Eddy Simulation over Complex Terrain: Flow over Askervein Hill, J. Appl. Meteorol. Clim., 48, 1050–1065, https://doi.org/10.1175/2008JAMC1862.1, 2009. a
Cited by
35 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|