135 citations as recorded by crossref.

1. Turbulence-resolving simulations of wind turbine wakes G. Deskos et al. 10.1016/j.renene.2018.11.084
2. Validating subspace predictive repetitive control under turbulent wind conditions with wind tunnel experiment J. Frederik et al. 10.1088/1742-6596/1037/3/032008
3. Interaction between low-level jets and wind farms in a stable atmospheric boundary layer S. Gadde & R. Stevens 10.1103/PhysRevFluids.6.014603
4. The Potential of Satellite Sounding Observations for Deriving Atmospheric Wind in All-Weather Conditions Y. Zhang et al. 10.3390/rs13152947
5. Simulation based prediction of ring creep on a planetary bearing of a 1MW wind turbine gearbox J. Gnauert et al. 10.1088/1742-6596/2265/3/032050
6. Fluid-structure coupled computations of the NREL 5 MW wind turbine by means of CFD B. Dose et al. 10.1016/j.renene.2018.05.064
7. Load mitigation and power tracking capability for wind turbines using linear matrix inequality‐based control design F. Pöschke et al. 10.1002/we.2516
8. Effects of inflow boundary layer on the wake of a radially non-uniform porous disk A. Abdulrahim et al. 10.1063/5.0045404
9. Siamese Neural Networks for Damage Detection and Diagnosis of Jacket-Type Offshore Wind Turbine Platforms J. Baquerizo et al. 10.3390/math10071131
10. Decoupled Modelling Approaches for Environmental Interactions with Monopile-Based Offshore Wind Support Structures P. van der Male et al. 10.3390/en13195195
11. A Multivariate High-Order Markov Model for the Income Estimation of a Wind Farm R. De Blasis et al. 10.3390/en14020388
12. L’énergie éolienne, du point de vue de la physique J. Peinke & A. Fuchs 10.1051/refdp/202477067
13. Rapid control prototyping of model predictive wind turbine control toward field testing S. Dickler et al. 10.1088/1742-6596/1618/2/022068
14. Phase Synchronization for Helix Enhanced Wake Mixing in Downstream Wind Turbines A. van Vondelen et al. 10.1016/j.ifacol.2023.10.1039
15. Induction study of a horizontal axis tidal turbine: Analytical models compared with experimental results L. Jouenne et al. 10.1016/j.oceaneng.2022.113458
16. Using crank-crank mechanism to reorient flat blades of vertical wind turbine for improving its performance K. Khader & O. Nada 10.1016/j.aej.2020.07.020
17. Roadmap to the multidisciplinary design analysis and optimisation of wind energy systems S. Perez-Moreno et al. 10.1088/1742-6596/753/6/062011
18. Review and evaluation of wake loss models for wind energy applications C. Archer et al. 10.1016/j.apenergy.2018.05.085
19. Research challenges and needs for the deployment of wind energy in hilly and mountainous regions A. Clifton et al. 10.5194/wes-7-2231-2022
20. An experimental study on the aerodynamic loads of a floating offshore wind turbine under imposed motions F. Taruffi et al. 10.5194/wes-9-343-2024
21. Local flow and loads estimation on wake-affected wind turbines using graph neural networks and PyWake G. Duthé et al. 10.1088/1742-6596/2505/1/012014
22. The effect of the tower’s modeling on the aero-elastic response of the NREL 5 MW wind turbine C. Bernardi et al. 10.1088/1742-6596/2505/1/012037
23. Effects of atmospheric low-level jets on the mixing process of a large tropical reservoir A. REIS et al. 10.1590/0001-3765202320211594
24. Iterative feedback tuning of wind turbine controllers E. van Solingen et al. 10.5194/wes-2-153-2017
25. Modelling the effects of environmental conditions on wind turbine failures M. Reder & J. Melero 10.1002/we.2201
26. Thermographic detection and localisation of unsteady flow separation on rotor blades of wind turbines F. Oehme et al. 10.3389/fenrg.2022.1043065
27. Observed site obstacle impacts on the energy performance of a large scale urban wind turbine using an electrical energy rose R. Byrne et al. 10.1016/j.esd.2017.12.002
28. Grand challenges in the design, manufacture, and operation of future wind turbine systems P. Veers et al. 10.5194/wes-8-1071-2023
29. On the impact of non-Gaussian wind statistics on wind turbines – an experimental approach J. Schottler et al. 10.5194/wes-2-1-2017
30. A de-ambiguous condition monitoring scheme for wind turbines using least squares generative adversarial networks A. Wang et al. 10.1016/j.renene.2021.12.049
31. Large-eddy simulation of the effects of horizontal and vertical adjustments in a wind farm D. Zhao et al. 10.3389/fenrg.2023.1333578
32. Using high-frequency SCADA data for wind turbine performance monitoring: A sensitivity study E. Gonzalez et al. 10.1016/j.renene.2018.07.068
33. Evaluating the economic return to public wind energy research and development in the United States R. Wiser & D. Millstein 10.1016/j.apenergy.2019.114449
34. Generating wind power scenarios for probabilistic ramp event prediction using multivariate statistical post-processing R. Worsnop et al. 10.5194/wes-3-371-2018
35. Combined experimental and numerical study on the near wake of a Darrieus VAWT under turbulent flows A. Molina et al. 10.1088/1742-6596/1037/7/072052
36. Assessing wind power operating costs in the United States: Results from a survey of wind industry experts R. Wiser et al. 10.1016/j.ref.2019.05.003
37. Enhancing the reliability of floating offshore wind turbine towers subjected to misaligned wind-wave loading using tuned mass damper inerters (TMDIs) B. Fitzgerald et al. 10.1016/j.renene.2023.04.097
38. Special Issue “Numerical Simulation of Wind Turbines” G. Ferrara & A. Bianchini 10.3390/en14061616
39. A Review of Urban Wind Energy Research: Aerodynamics and Other Challenges D. Micallef & G. van Bussel 10.3390/en11092204
40. A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings M. Khodkar & P. Hassanzadeh 10.1016/j.jcp.2021.110412
41. Flow Structure and Turbulence in Wind Farms R. Stevens & C. Meneveau 10.1146/annurev-fluid-010816-060206
42. Large eddy simulations of the effect of vertical staggering in large wind farms M. Zhang et al. 10.1002/we.2278
43. Towards the development of an advanced wind turbine rotor design tool integrating full CFD and FEM L. Cozzi et al. 10.1088/1742-6596/2265/4/042050
44. Data-driven learning framework for associating weather conditions and wind turbine failures M. Reder et al. 10.1016/j.ress.2017.10.004
45. Wind Speed Modeling by Nested ARIMA Processes S. Sim et al. 10.3390/en12010069
46. A Closer Look at the Environmental Impact of Solar and Wind Energy J. Torres & F. Petrakopoulou 10.1002/gch2.202200016
47. Investigation on torsional performance of wind turbine blades under pure torsion through subcomponent test J. Wang et al. 10.1016/j.compstruct.2022.116466
48. Tuning turbine rotor design for very large wind farms T. Nishino & W. Hunter 10.1098/rspa.2018.0237
49. Power curve performance of coastal turbines subject to low turbulence intensity offshore winds Y. Sakagami et al. 10.1007/s40430-022-03942-9
50. Adjoint-Based High-Fidelity Concurrent Aerodynamic Design Optimization of Wind Turbine S. Batay et al. 10.3390/fluids8030085
51. Wind resource mapping and energy estimation in complex terrain: A framework based on field observations and computational fluid dynamics W. Radünz et al. 10.1016/j.renene.2020.01.014
52. Data-driven repetitive control: Wind tunnel experiments under turbulent conditions J. Frederik et al. 10.1016/j.conengprac.2018.08.011
53. Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width J. Schottler et al. 10.5194/wes-3-257-2018
54. A Review on Environmental Parameters Monitoring Systems for Power Generation Estimation from Renewable Energy Systems S. Verma et al. 10.1007/s12668-024-01358-4
55. Interactive Effects of Wind Tunnel Sidewalls on Flow Structures around 2D Airfoil Model J. Bai et al. 10.1007/s11630-023-1753-7
56. Exploring Quantum Machine Learning and Feature Reduction Techniques for Wind Turbine Pitch Fault Detection C. Correa-Jullian et al. 10.3390/en15082792
57. Evaluation of different power tracking operating strategies considering turbine loading and power dynamics F. Pöschke & H. Schulte 10.5194/wes-7-1593-2022
58. Effects of Two-Dimensional Steep Hills on the Performance of Wind Turbines and Wind Farms L. Liu & R. Stevens 10.1007/s10546-020-00522-z
59. Verification and validation of CFD simulations of the NTNU BT1 wind turbine M. Ye et al. 10.1016/j.jweia.2023.105336
60. The effect of the integral length scale of turbulence on a wind turbine aerofoil G. Vita et al. 10.1016/j.jweia.2020.104235
61. A Steady-State Wind Farm Wake Model Implemented in OpenFAST A. Cioffi et al. 10.3390/en13236158
62. Some modelling improvements for prediction of wind turbine rotor loads in turbulent wind A. Muñoz‐Simón et al. 10.1002/we.2675
63. Transient response of offshore wind turbines on monopiles in sand: role of cyclic hydro–mechanical soil behaviour S. Corciulo et al. 10.1016/j.compgeo.2016.11.010
64. Load reduction for wind turbines: an output-constrained, subspace predictive repetitive control approach Y. Liu et al. 10.5194/wes-7-523-2022
65. Combined high-resolution rainfall and wind data collected for 3 months on a wind farm 110 km southeast of Paris (France) A. Gires et al. 10.5194/essd-14-3807-2022
66. Development of a Computational Fluid Dynamics Methodology to Reproduce the Effects of Macroturbulence on Wind Turbines and Its Application to the Particular Case of a VAWT F. Balduzzi et al. 10.1115/1.4044231
67. On Real-Time Fault Detection in Wind Turbines: Sensor Selection Algorithm and Detection Time Reduction Analysis F. Pozo et al. 10.3390/en9070520
68. An aero-structure-acoustics evaluation framework of wind turbine blade cross-section based on Gradient Boosting regression tree G. Guo et al. 10.1016/j.compstruct.2024.118055
69. Review of Research on Condition Monitoring for Improved O&M of Offshore Wind Turbine Drivetrains J. Helsen 10.1007/s40857-021-00237-2
70. A review of wind turbine-oriented active flow control strategies S. Aubrun et al. 10.1007/s00348-017-2412-0
71. Precision blade deflection measurement system using wireless inertial sensor nodes E. Grundkötter & J. Melbert 10.1002/we.2680
72. Surrogate modelling of wind fields from point-wise atmospheric turbulence measurements J. Friedrich et al. 10.1088/1742-6596/2265/2/022026
73. Torque Ripple and Mass Comparison between 20 MW Rare-Earth and Ferrite Permanent Magnet Wind Generators T. Hoang et al. 10.3390/machines11121063
74. Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments N. Vasiljević et al. 10.5194/amt-10-3463-2017
75. Full-scale field test of a model predictive control system for a 3 MW wind turbine S. Dickler et al. 10.1007/s10010-021-00467-w
76. Dynamic stall at high Reynolds numbers due to variant types of airfoil motion J. Kiefer et al. 10.1088/1742-6596/1618/5/052028
77. Experimental evaluation of the mesh load factor (Kγ) of a 6MW wind turbine gearbox U. Santiago et al. 10.1088/1742-6596/2265/3/032003
78. Promoting the System Integration of Renewable Energies: Toward a Decision Support System for Incentivizing Spatially Diversified Deployment J. Piel et al. 10.1080/07421222.2017.1394044
79. Geotechnical aspects of offshore wind turbine dynamics from 3D non-linear soil-structure simulations E. Kementzetzidis et al. 10.1016/j.soildyn.2019.01.037
80. Evaluating the potential of wind and solar energy in achieving zero energy ratings in residential homes: A Nottingham case study K. Naik et al. 10.1016/j.segy.2023.100129
81. Overall design optimization of dedicated outboard airfoils for horizontal axis wind turbine blades X. Li et al. 10.1002/we.2164
82. Unravelling the wind flow over highly complex regions through computational modeling and two-dimensional lidar scanning J. Palma et al. 10.1088/1742-6596/1222/1/012006
83. Tackling grand challenges in wind energy through a socio-technical perspective J. Kirkegaard et al. 10.1038/s41560-023-01266-z
84. Context-Aware Policy Analysis for Distributed Usage Control G. Gil et al. 10.3390/en15197113
85. Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions F. Stadtmann et al. 10.1109/ACCESS.2023.3321320
86. A new optimization approach to improve the overall performance of thick wind turbine airfoils X. Li et al. 10.1016/j.energy.2016.09.108
87. Effect of low-level jet height on wind farm performance S. Gadde & R. Stevens 10.1063/5.0026232
88. Floating offshore wind turbine aerodynamics: Trends and future challenges D. Micallef & A. Rezaeiha 10.1016/j.rser.2021.111696
89. Performance analysis of low Reynolds number vertical axis wind turbines using low-fidelity and mid-fidelity methods and wind conditions in the city of Nottingham S. Shubham et al. 10.1016/j.energy.2023.127904
90. Velocity data in a fully developed experimental wind turbine array boundary layer J. Turner V & M. Wosnik 10.1002/we.2709
91. Data-driven farm-wide fatigue estimation on jacket-foundation OWTs for multiple SHM setups F. d N Santos et al. 10.5194/wes-7-299-2022
92. Input torque measurements for wind turbine gearboxes using fiber-optic strain sensors U. Gutierrez Santiago et al. 10.5194/wes-7-505-2022
93. A comparison study on jacket substructures for offshore wind turbines based on optimization J. Häfele et al. 10.5194/wes-4-23-2019
94. A two-way coupling method for the study of aeroelastic effects in large wind turbines G. Della Posta et al. 10.1016/j.renene.2022.03.158
95. Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses K. Leahy et al. 10.3390/en12020201
96. CFD simulations targeting the performance of the NTNU BT1 wind turbine using overset grids M. Ye et al. 10.1007/s42241-023-0065-4
97. Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures L. Bentsen et al. 10.1016/j.apenergy.2022.120565
98. Revisiting the structural collapse of a 52.3 m composite wind turbine blade in a full‐scale bending test X. Chen et al. 10.1002/we.2087
99. Application of extended vortex theory for blade element analysis of horizontal-axis wind turbines D. Wood 10.1016/j.renene.2017.12.085
100. Wind-Turbine and Wind-Farm Flows: A Review F. Porté-Agel et al. 10.1007/s10546-019-00473-0
101. Long-range Doppler lidar measurements of wind turbine wakes and their interaction with turbulent atmospheric boundary-layer flow at Perdigao 2017 N. Wildmann et al. 10.1088/1742-6596/1618/3/032034
102. A Large Eddy Simulation framework to assess wind farm power maximization strategies: Validation of maximization by yawing M. Draper et al. 10.1088/1742-6596/1037/7/072051
103. A novel model-driven deterministic approach to wind power imputation S. Jha et al. 10.1016/j.suscom.2022.100818
104. Towards improved turbulence estimation with Doppler wind lidar velocity-azimuth display (VAD) scans N. Wildmann et al. 10.5194/amt-13-4141-2020
105. Grand challenges in the digitalisation of wind energy A. Clifton et al. 10.5194/wes-8-947-2023
106. Aerodynamic measurements on wind turbines J. Schepers & S. Schreck 10.1002/wene.320
107. WESgraph: a graph database for the wind farm domain E. Quaeghebeur et al. 10.5194/wes-5-259-2020
108. Exploring a better turbine layout in vertically staggered wind farms M. Zhang & R. Stevens 10.1088/1742-6596/1037/7/072041
109. Active Power Control of Waked Wind Farms * *J.W. van Wingerden would like to acknowledge the CL-Windcon project. This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 727477. L. Pao gratefully acknowledges funding provided by the Hanse-Wissenschaftskolleg Institute for Advanced Study, Delmenhorst, Germany. J. Aho has been supported in part by the Renewable and Sustainable Energy Institute and a University of Colorado Boulder Graduate School Summer Fellowship. J. van Wingerden et al. 10.1016/j.ifacol.2017.08.378
110. A review of the evaluation of urban wind resources: challenges and perspectives R. Reja et al. 10.1016/j.enbuild.2021.111781
111. Exploiting Bend-Twist Coupling in Wind Turbine Control for Load Reduction M. Wiens et al. 10.1016/j.ifacol.2020.12.781
112. Enabling Co-Innovation for a Successful Digital Transformation in Wind Energy Using a New Digital Ecosystem and a Fault Detection Case Study S. Barber et al. 10.3390/en15155638
113. Optimizing Ship Airwake Database for Predicting Autospectra Using Deep Learning V. Krishnan et al. 10.4050/JAHS.69.022005
114. Torque measurements from MW wind turbine Gearboxes: a system identification approach U. Santiago et al. 10.1088/1742-6596/1618/2/022027
115. Main bearings in large offshore wind turbines: development trends, design and analysis requirements J. Torsvik et al. 10.1088/1742-6596/1037/4/042020
116. Powering the 21st century by wind energy—Options, facts, figures K. Rohrig et al. 10.1063/1.5089877
117. Effect of the integral length scales of turbulent inflows on wind turbine loads B. Stanislawski et al. 10.1016/j.renene.2023.119218
118. Wind Turbine Failures - Tackling current Problems in Failure Data Analysis M. Reder et al. 10.1088/1742-6596/753/7/072027
119. Data‐driven generation of synthetic wind speeds: A comparative study D. D'Ambrosio et al. 10.1049/rpg2.12394
120. 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
121. A data-driven analytical model for wind turbine wakes using machine learning method G. Nai-Zhi et al. 10.1016/j.enconman.2021.115130
122. Performance Studies on a Wind Turbine Blade Section for Low Wind Speeds With a Gurney Flap M. Ahmed & E. Nabolaniwaqa 10.1115/1.4043708
123. Grand Challenges in Wind Energy Research D. Wood 10.3389/fenrg.2020.624646
124. Experimental investigation of aerodynamic characteristics of bat carcasses after collision with a wind turbine S. Prakash & C. Markfort 10.5194/wes-5-745-2020
125. Efficient Bayesian calibration of aerodynamic wind turbine models using surrogate modeling B. Sanderse et al. 10.5194/wes-7-759-2022
126. A Bayesian Approach for Predicting Wind Turbine Failures based on Meteorological Conditions M. Reder & J. Melero 10.1088/1742-6596/1037/6/062003
127. On the spectral behaviour of the turbulence-driven power fluctuations of horizontal-axis turbines G. Deskos et al. 10.1017/jfm.2020.681
128. Actuator fault tolerant offshore wind turbine load mitigation control Y. Liu et al. 10.1016/j.renene.2023.01.092
129. An observational climatology of anomalous wind events at offshore meteomast IJmuiden (North Sea) P. Kalverla et al. 10.1016/j.jweia.2017.03.008
130. Horizontal axis wind turbine testing at high Reynolds numbers M. Miller et al. 10.1103/PhysRevFluids.4.110504
131. A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods J. Thé & H. Yu 10.1016/j.energy.2017.07.028
132. A Robust Prescriptive Framework and Performance Metric for Diagnosing and Predicting Wind Turbine Faults Based on SCADA and Alarms Data with Case Study K. Leahy et al. 10.3390/en11071738
133. Exploring the environmental and economic impacts of wind energy: a cost-benefit perspective K. Adeyeye et al. 10.1080/13504509.2020.1768171
134. Increasing the value of wind: From passive to active actors in multiple power markets K. Skytte & L. Bobo 10.1002/wene.328
135. Performance estimation of a wind farm with a dependence structure between electricity price and wind speed L. Casula et al. 10.1111/twec.12962