131 citations as recorded by crossref.

1. Stochastic Wake Modelling Based on POD Analysis D. Bastine et al. 10.3390/en11030612
2. Monitoring offshore wind farm power performance with SCADA data and an advanced wake model N. Mittelmeier et al. 10.5194/wes-2-175-2017
3. A new method to characterize the curled wake shape under yaw misalignment B. Sengers et al. 10.1088/1742-6596/1618/6/062050
4. The VERTEX field campaign: observations of near-ground effects of wind turbine wakes C. Archer et al. 10.1080/14685248.2019.1572161
5. Maximizing wind farm power output with the helix approach: Experimental validation and wake analysis using tomographic particle image velocimetry D. van der Hoek et al. 10.1002/we.2896
6. A simulation study demonstrating the importance of large-scale trailing vortices in wake steering P. Fleming et al. 10.5194/wes-3-243-2018
7. Snow-powered research on utility-scale wind turbine flows J. Hong & A. Abraham 10.1007/s10409-020-00934-7
8. Effect of Atmospheric Stability on Meandering and Wake Characteristics in Wind Turbine Fluid Dynamics B. Løvøy Alvestad et al. 10.3390/app14178025
9. Three-dimensional structure of wind turbine wakes as measured by scanning lidar N. Bodini et al. 10.5194/amt-10-2881-2017
10. Probabilistic estimation of the Dynamic Wake Meandering model parameters using SpinnerLidar-derived wake characteristics D. Conti et al. 10.5194/wes-6-1117-2021
11. Increased power gains from wake steering control using preview wind direction information B. Sengers et al. 10.5194/wes-8-1693-2023
12. Analysis of wake properties and meandering under different cases of atmospheric stability: a large eddy simulation study E. Jézéquel et al. 10.1088/1742-6596/2265/2/022067
13. Comparison of Rotor Wake Identification and Characterization Methods for the Analysis of Wake Dynamics and Evolution E. Quon et al. 10.1088/1742-6596/1452/1/012070
14. Evaluation of Engineering Models for Large‐Scale Cluster Wakes With the Help of In Situ Airborne Measurements K. zum Berge et al. 10.1002/we.2942
15. Wind-turbine wakes responding to stably stratified flow over complex terrain A. Englberger & A. Dörnbrack 10.1088/1742-6596/1037/7/072014
16. Development of a curled wake of a yawed wind turbine under turbulent and sheared inflow P. Hulsman et al. 10.5194/wes-7-237-2022
17. Assessment of yaw-control effects on wind turbine-wake interaction: A coupled unsteady vortex lattice method and curled wake model analysis W. Han et al. 10.1016/j.jweia.2023.105559
18. Analysis of control-oriented wake modeling tools using lidar field results J. Annoni et al. 10.5194/wes-3-819-2018
19. Experimental study on the wind-turbine wake meandering inside a scale model wind farm placed in an atmospheric-boundary-layer wind tunnel N. Coudou et al. 10.1088/1742-6596/854/1/012008
20. Wind farm power production and fatigue load optimization based on dynamic partitioning and wake redirection of wind turbines W. Cai et al. 10.1016/j.apenergy.2023.121000
21. Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models P. Brugger et al. 10.5194/wes-5-1253-2020
22. Aerodynamic characterization of two tandem wind turbines under yaw misalignment control using actuator line model Y. Tu et al. 10.1016/j.oceaneng.2023.114992
23. A numerical study of correlations between wake meandering and loads within a wind farm M. Moens et al. 10.1088/1742-6596/1256/1/012012
24. Comparative study on the wake deflection behind yawed wind turbine models J. Schottler et al. 10.1088/1742-6596/854/1/012032
25. A time‐varying formulation of the curled wake model within the FAST.Farm framework E. Branlard et al. 10.1002/we.2785
26. Lidar-based wake tracking for closed-loop wind farm control S. Raach et al. 10.5194/wes-2-257-2017
27. Wind tunnel study on power output and yaw moments for two yaw-controlled model wind turbines J. Bartl et al. 10.5194/wes-3-489-2018
28. Experimental investigation of wind turbine wake and load dynamics during yaw maneuvers S. Macrí et al. 10.5194/wes-6-585-2021
29. Development of an automatic thresholding method for wake meandering studies and its application to the data set from scanning wind lidar M. Krutova et al. 10.5194/wes-7-849-2022
30. Error analysis of low-fidelity models for wake steering based on field measurements S. Letizia et al. 10.1088/1742-6596/2767/4/042029
31. The curled wake model: a three-dimensional and extremely fast steady-state wake solver for wind plant flows L. Martínez-Tossas et al. 10.5194/wes-6-555-2021
32. Effects of the fidelity level of numerical simulations on the wake meandering phenomenon N. Coudou et al. 10.1088/1742-6596/1256/1/012010
33. Lidar assisted wake redirection in wind farms: A data driven approach H. Dhiman et al. 10.1016/j.renene.2020.01.027
34. Assessing Closed-Loop Data-Driven Wind Farm Control Strategies within a Wind Tunnel P. Hulsman et al. 10.1088/1742-6596/2767/3/032049
35. Three-dimensional wind-turbine wake characterization via tomographic particle-image velocimetry A. Dar & F. Porte-Agel 10.1088/1742-6596/1618/6/062045
36. Lower Order Description and Reconstruction of Sparse Scanning Lidar Measurements of Wind Turbine Inflow Using Proper Orthogonal Decomposition A. Kidambi Sekar et al. 10.3390/rs14112681
37. Characterization of Terrain-Induced Turbulence by Large-Eddy Simulation for Air Safety Considerations in Airport Siting S. Wang et al. 10.3390/atmos13060952
38. A wind farm consisting of two turbines - The combined influence of turbine spacing and rotational direction A. Englberger & A. Dörnbrack 10.1088/1742-6596/2767/9/092070
39. Design and analysis of a wake steering controller with wind direction variability E. Simley et al. 10.5194/wes-5-451-2020
40. Experimental Study on the Wake Meandering Within a Scale Model Wind Farm Subject to a Wind-Tunnel Flow Simulating an Atmospheric Boundary Layer N. Coudou et al. 10.1007/s10546-017-0320-8
41. Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1 P. Fleming et al. 10.5194/wes-4-273-2019
42. A new analytical model for wind turbine wakes based on Monin-Obukhov similarity theory Y. Cheng et al. 10.1016/j.apenergy.2019.01.225
43. Does the wind turbine wake follow the topography? A multi-lidar study in complex terrain R. Menke et al. 10.5194/wes-3-681-2018
44. Characterization of Wind Turbine Wakes with Nacelle-Mounted Doppler LiDARs and Model Validation in the Presence of Wind Veer P. Brugger et al. 10.3390/rs11192247
45. Analysis of offshore wind spectra and coherence under neutral stability condition using the two LES models PALM and SOWFA X. Ning et al. 10.1088/1742-6596/2018/1/012027
46. Wind turbine wakes on escarpments: A wind-tunnel study A. Dar & F. Porté-Agel 10.1016/j.renene.2021.09.102
47. Geophysical potential for wind energy over the open oceans A. Possner & K. Caldeira 10.1073/pnas.1705710114
48. A New Analytical Wake Model for Yawed Wind Turbines G. Qian & T. Ishihara 10.3390/en11030665
49. Evaluation of the potential for wake steering for U.S. land-based wind power plants D. Bensason et al. 10.1063/5.0039325
50. Parametric study of the effectiveness of active yaw control based on large eddy simulation D. Wei et al. 10.1016/j.oceaneng.2023.113751
51. Large eddy simulations of curled wakes from tilted wind turbines H. Johlas et al. 10.1016/j.renene.2022.02.018
52. Evaluation of sea surface roughness parameterization in meso-to-micro scale simulation of the offshore wind field X. Ning et al. 10.1016/j.jweia.2023.105592
53. Investigation into the shape of a wake of a yawed full-scale turbine P. Fleming et al. 10.1088/1742-6596/1037/3/032010
54. A Large Eddy Simulation-Actuator Line Model framework to simulate a scaled wind energy facility and its application M. Draper et al. 10.1016/j.jweia.2018.09.010
55. Influence of ground roughness on the wake of a yawed wind turbine - a comparison of wind-tunnel measurements and model predictions V. Stein & H. Kaltenbach 10.1088/1742-6596/1037/7/072005
56. Wind-Turbine and Wind-Farm Flows: A Review F. Porté-Agel et al. 10.1007/s10546-019-00473-0
57. A novel 2D analytical model for predicting single and multiple‐interacting wakes of horizontal‐axis wind turbines P. Asad Ayoubi et al. 10.1002/ep.13980
58. Improving the efficiency of wind farms via wake manipulation S. Bader et al. 10.1002/we.2226
59. Wake Management in Wind Farms: An Adaptive Control Approach H. Dhiman et al. 10.3390/en12071247
60. Numerical investigation of rotor asymmetry to promote wake recovery A. Abraham et al. 10.1088/1742-6596/2505/1/012032
61. Field test of wake steering at an offshore wind farm P. Fleming et al. 10.5194/wes-2-229-2017
62. Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance E. Simley et al. 10.5194/wes-6-1427-2021
63. A point vortex transportation model for yawed wind turbine wakes H. Zong & F. Porté-Agel 10.1017/jfm.2020.123
64. Evaluation of turbulence characteristics in WRF simulations at WiValdi wind park G. Kilroy et al. 10.1088/1742-6596/2767/5/052063
65. Correlations Between Wake Phenomena and Fatigue Loads Within Large Wind Farms: A Large-Eddy Simulation Study M. Moens  & P. Chatelain 10.3389/fenrg.2022.881532
66. A wind turbine wake in changing atmospheric conditions: LES and lidar measurements L. Vollmer et al. 10.1088/1742-6596/854/1/012050
67. Development of wake meandering detection algorithms and their application to large eddy simulations of an isolated wind turbine and a wind farm N. Coudou et al. 10.1088/1742-6596/1037/7/072024
68. The rotor as a sensor – observing shear and veer from the operational data of a large wind turbine M. Bertelè et al. 10.5194/wes-9-1419-2024
69. Implementation of the BEM skewed-wake model within the multibody aero-elastic solver Cp-Lambda I. Petrović et al. 10.1051/e3sconf/202017302004
70. Control-oriented model for secondary effects of wake steering J. King et al. 10.5194/wes-6-701-2021
71. Highlighting the impact of yaw control by parsing atmospheric conditions based on total variation N. Hamilton 10.1088/1742-6596/1452/1/012006
72. Validation of a Large-Eddy Simulation Approach for Prediction of the Ground Roughness Influence on Wind Turbine Wakes V. Stein & H. Kaltenbach 10.3390/en15072579
73. Quantification of wake shape modulation and deflection for tilt and yaw misaligned wind turbines J. Bossuyt et al. 10.1017/jfm.2021.237
74. Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes M. Bromm et al. 10.1002/we.2210
75. Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width J. Schottler et al. 10.5194/wes-3-257-2018
76. A new wake detection methodology to capture wind turbine wakes using adaptive mesh refinement and Large Eddy Simulation U. Vigny et al. 10.1088/1742-6596/2265/2/022005
77. Towards a better understanding of yawed turbine wake for efficient wake steering in tidal arrays P. Modali et al. 10.1016/j.renene.2021.05.152
78. The aerodynamics of the curled wake: a simplified model in view of flow control L. Martínez-Tossas et al. 10.5194/wes-4-127-2019
79. A Hybrid Wind-Farm Parametrization for Mesoscale and Climate Models Y. Pan & C. Archer 10.1007/s10546-018-0351-9
80. Turbine power loss during yaw-misaligned free field tests at different atmospheric conditions P. Hulsman et al. 10.1088/1742-6596/2265/3/032074
81. Wind Farm Loads under Wake Redirection Control S. Kanev et al. 10.3390/en13164088
82. Implementation and Validation of a Generalized Actuator Disk Parameterization for Wind Turbine Simulations Within the FastEddy Model M. Sanchez Gomez et al. 10.1002/we.2941
83. Dynamic wake modulation induced by utility-scale wind turbine operation A. Abraham & J. Hong 10.1016/j.apenergy.2019.114003
84. Impact of the Diurnal Cycle of the Atmospheric Boundary Layer on Wind-Turbine Wakes: A Numerical Modelling Study A. Englberger & A. Dörnbrack 10.1007/s10546-017-0309-3
85. Large-eddy simulation study of wind farm active power control with a coordinated load distribution M. Vali et al. 10.1088/1742-6596/1037/3/032018
86. Brief communication: On the influence of vertical wind shear on the combined power output of two model wind turbines in yaw J. Schottler et al. 10.5194/wes-2-439-2017
87. How does inflow veer affect the veer of a wind-turbine wake? A. Englberger & J. Lundquist 10.1088/1742-6596/1452/1/012068
88. Region-Based Convolutional Neural Network for Wind Turbine Wake Characterization in Complex Terrain J. Aird et al. 10.3390/rs13214438
89. Toward flow control: An assessment of the curled wake model in the FLORIS framework C. Bay et al. 10.1088/1742-6596/1618/2/022033
90. A new method for simulating multiple wind turbine wakes under yawed conditions D. Wei et al. 10.1016/j.oceaneng.2021.109832
91. A physical wind‐turbine wake growth model under different stratified atmospheric conditions B. Du et al. 10.1002/we.2770
92. Large Eddy Simulation of wind turbine wake interaction in directionally sheared inflows W. Chanprasert et al. 10.1016/j.renene.2022.11.021
93. Adjoint-based model predictive control of wind farms: Beyond the quasi steady-state power maximization M. Vali et al. 10.1016/j.ifacol.2017.08.382
94. Assessment of wind turbine component loads under yaw-offset conditions R. Damiani et al. 10.5194/wes-3-173-2018
95. Continued results from a field campaign of wake steering applied at a commercial wind farm – Part 2 P. Fleming et al. 10.5194/wes-5-945-2020
96. Overview of the PALM model system 6.0 B. Maronga et al. 10.5194/gmd-13-1335-2020
97. A physics-guided machine learning framework for real-time dynamic wake prediction of wind turbines B. Li et al. 10.1063/5.0194764
98. A two-dimensional Jensen model with a Gaussian-shaped velocity deficit M. Ge et al. 10.1016/j.renene.2019.03.127
99. Wind turbine wake position detection and rotor speed-based wake steering validation in a wind tunnel wake simulator R. Castillo et al. 10.1177/0309524X19852350
100. Parametric dependencies of the yawed wind‐turbine wake development E. Kleusberg et al. 10.1002/we.2395
101. A physically interpretable data-driven surrogate model for wake steering B. Sengers et al. 10.5194/wes-7-1455-2022
102. Wind Farm Yaw Optimization via Random Search Algorithm J. Kuo et al. 10.3390/en13040865
103. Transient LES of an offshore wind turbine L. Vollmer et al. 10.5194/wes-2-603-2017
104. Turbine Wake Deflection Measurement in a Wind Tunnel with a Lidar WindScanner P. Hulsman et al. 10.1088/1742-6596/1452/1/012007
105. Experimental investigation and analytical modelling of active yaw control for wind farm power optimization H. Zong & F. Porté-Agel 10.1016/j.renene.2021.02.059
106. Non-Equilibrium Scaling Applied to the Wake Evolution of a Model Scale Wind Turbine V. Stein & H. Kaltenbach 10.3390/en12142763
107. The helix approach: Using dynamic individual pitch control to enhance wake mixing in wind farms J. Frederik et al. 10.1002/we.2513
108. An adaptation of the super-Gaussian wake model for yawed wind turbines F. Blondel et al. 10.1088/1742-6596/1618/6/062031
109. An analysis of offshore wind farm SCADA measurements to identify key parameters influencing the magnitude of wake effects N. Mittelmeier et al. 10.5194/wes-2-477-2017
110. Wind tunnel experiments on wind turbine wakes in yaw: effects of inflow turbulence and shear J. Bartl et al. 10.5194/wes-3-329-2018
111. Experimental analysis of the effect of dynamic induction control on a wind turbine wake D. van der Hoek et al. 10.5194/wes-7-1305-2022
112. Exploring the complexities associated with full-scale wind plant wake mitigation control experiments J. Duncan Jr. et al. 10.5194/wes-5-469-2020
113. Overview of FLORIS updates P. Fleming et al. 10.1088/1742-6596/1618/2/022028
114. Cluster wakes impact on a far-distant offshore wind farm's power J. Schneemann et al. 10.5194/wes-5-29-2020
115. Field testing of a local wind inflow estimator and wake detector J. Schreiber et al. 10.5194/wes-5-867-2020
116. Blind test comparison on the wake behind a yawed wind turbine F. Mühle et al. 10.5194/wes-3-883-2018
117. Validation of a coupled atmospheric–aeroelastic model system for wind turbine power and load calculations S. Krüger et al. 10.5194/wes-7-323-2022
118. Cumulative Interactions between the Global Blockage and Wake Effects as Observed by an Engineering Model and Large-Eddy Simulations B. Cañadillas et al. 10.3390/en16072949
119. Analytical three‐dimensional wind flow model for real‐time wind farm simulation V. Kipke et al. 10.1049/iet-rpg.2020.0106
120. Investigating the impact of atmospheric conditions on wake-steering performance at a commercial wind plant E. Simley et al. 10.1088/1742-6596/2265/3/032097
121. Adjoint-based model predictive control for optimal energy extraction in waked wind farms M. Vali et al. 10.1016/j.conengprac.2018.11.005
122. A multi-fidelity framework for power prediction of wind farm under yaw misalignment Y. Tu et al. 10.1016/j.apenergy.2024.124600
123. Modelling Yawed Wind Turbine Wakes: Extension of a Gaussian-Based Wake Model D. Wei et al. 10.3390/en14154494
124. Wind tunnel studies of wind turbine yaw and speed control effects on the wake trajectory and thrust stabilization R. Castillo & S. Pol 10.1016/j.renene.2022.03.015
125. Experimental and numerical investigations on the performance and wake characteristics of a tidal turbine under yaw Y. Qian et al. 10.1016/j.oceaneng.2023.116276
126. Validation of an interpretable data-driven wake model using lidar measurements from a field wake steering experiment B. Sengers et al. 10.5194/wes-8-747-2023
127. Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P. Moriarty et al. 10.1063/5.0141683
128. The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake J. Rinker et al. 10.3390/en14217313
129. Validation of the real-time-response ProCap measurement system for full field wake scans behind a yawed model-scale wind turbine J. Bartl et al. 10.1088/1742-6596/1104/1/012018
130. Robust active wake control in consideration of wind direction variability and uncertainty A. Rott et al. 10.5194/wes-3-869-2018
131. An analysis of offshore wind farm SCADA measurements to identify key parameters influencing the magnitude of wake effects N. Mittelmeier et al. 10.1088/1742-6596/753/3/032052