Field testing of a local wind inflow estimator and wake detector
-
Published:2020-07-07
Issue:3
Volume:5
Page:867-884
-
ISSN:2366-7451
-
Container-title:Wind Energy Science
-
language:en
-
Short-container-title:Wind Energ. Sci.
Author:
Schreiber Johannes, Bottasso Carlo L.ORCID, Bertelè Marta
Abstract
Abstract. This paper presents the field validation of a method to estimate the local
wind speed on different sectors of a turbine rotor disk. Each rotating
blade is used as a scanning sensor that, traveling across the rotor disk,
samples the inflow. From the local speed estimates, the method can
reconstruct the vertical wind shear and detect the presence and location on
an impinging wake shed by an upstream wind turbine. Shear and wake
awareness have multiple uses, from turbine and farm control to monitoring
and forecasting. This validation study is conducted with an experimental data set obtained
with two multi-megawatt wind turbines and a hub-tall met mast. Practical and
simple procedures are presented and demonstrated to correct for the
possible miscalibration of sensors. Results indicate a very good correlation between the estimated vertical
shear and the one measured by the met mast. Additionally, the proposed
method exhibits a remarkable ability to locate and track the motion of an
impinging wake on an affected rotor.
Publisher
Copernicus GmbH
Subject
Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment
Reference26 articles.
1. Bertelè, M., Bottasso, C. L., Cacciola, S., Daher Adegas, F., and Delport, S.: Wind inflow observation from load harmonics, Wind Energ. Sci., 2, 615–640, https://doi.org/10.5194/wes-2-615-2017, 2017. a, b 2. Bottasso, C. L. and Schreiber, J.: Online model updating by a wake detector for wind farm control, in: 2018 Annual American Control Conference (ACC), Hilton Milwaukee City Center Hotel,
Milwaukee, WI, USA, 27–29 June 2018, IEEE, 676–681, https://doi.org/10.23919/ACC.2018.8431626, 2018. a 3. Bottasso, C. L., Croce, A., and Riboldi, C.: Spatial estimation of
wind states from the aeroelastic response of a wind turbine, in:
TORQUE 2010, The Science of Making Torque from Wind, Forth,
Heraklion, Crete, Greece, 28–30 June 2010. a 4. Bottasso, C. L., Cacciola, S., and Schreiber, J.: Local wind speed estimation,
with application to wake impingement detection, Renew. Energ., 116,
155–168, https://doi.org/10.1016/j.renene.2017.09.044, 2018. a, b, c, d, e, f, g, h 5. Bromm, M., Rott, A., Beck, H., Vollmer, L., Steinfeld, G., and Kühn, M.: Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes, Wind Energy, 21, 1011–1028, https://doi.org/10.1002/we.2210,
2018. a, b, c, d
Cited by
21 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
|
|